ToxiMapp: Mapping 1,900 Toxins Near Your Home

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I, I mean, I kind of always knew
the world was polluted, right?

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But I was really, really asleep
about the extent of it until I

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moved my child into, brought our
home from the hospital to a

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neighborhood where a lot of
people were getting strange

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brain and lung cancers.
And this information came to me

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informally.
It's not like there is a

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statistical, it's not like it's
published in the New York Times

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or something.
And it's not really widely

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known.
None of them really are.

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Welcome to the Environmental
Transformation Podcast, where we

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bring you interviews with
industry leaders, climate

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champions, sustainability
practitioners, EHS and hazmat

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professionals making an impact
in their businesses today.

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Each leader solving complex
challenges and delivering

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solutions within their areas of
expertise.

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I'm your host, Sean Grady, and
thanks for joining us today.

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Before we jump in, make sure to
follow us on your devices and

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Now let's get started.
Welcome to the Environmental

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Transformation podcast.
I'm your host, Sean Grady, and

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today's guests are Deb Horton
and Pete Seda.

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Deb is the founder and CEO of
Taxi Map and they're an

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environmental intelligence
platform that helps individuals

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and professionals know which
toxicants are present in the

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area, water and soil near their
addresses.

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Many addresses across the across
the United States.

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So think of it as like the
Carfax for environmental

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surroundings in any location.
So we're really happy to have

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Deb on.
She has a PhD in quantitative

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sociology from Columbia
University and has worked as a

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researcher at Harvard Medical
Schools, Department of

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Healthcare policy.
She has also been an

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organizational and leadership
consultant and lived and worked

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all over the world.
Man, she's been in Lima,

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Istanbul, Milan, London, Dublin.
Wow, you've been around.

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That's awesome.
Those are some beautiful.

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Yeah, that's some beautiful
places.

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Oh, man.
Her personal experience moving

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her baby into two different
communities with cancer clusters

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awakened her to the hidden
presence of environmental

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toxicants in an unexpected
locations.

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And that critically and of
critically knowing where

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toxicants are to make informed
decisions for her own and

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everyone else is in the family
and for a business and

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organizational across the the
board.

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That's what's driven her to
develop Toximap Peter Seda.

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He's the chief environmental
scientist at Taxi Map, and he's

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an instructor at Duke
University's School of of the

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Environment.
So he was formerly A contributor

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to the EP as Enviro Atlas.
And he's a seasoned

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environmental consultant with a
deep experience in managing high

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visibility projects leveraging
environmental analysis,

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geospatial analysis and data
management for government

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agencies, educational
institutions and private

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consulting firms.
He is a certified GIS

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professional and he also has a
Geographic Information System

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Certification Institute
accreditation as well.

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So welcome to the show guys.
Great to be here.

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Yeah.
Thank you so much.

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We're really grateful.
Deb, you and I got connected

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through a personal connection
that you're a friends with

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another entrepreneur tech
startup that we will probably

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have on the show here soon as
well for an application that's

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really geared towards
environmental education for kids

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and gaming.
So I'm looking forward to that

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one.
But it's amazing.

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Yeah, so.
But thanks for coming on the

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show.
And you know, I saw the

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application and looked at it and
I was like, wow, this has a lot

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of applicability for the
environmental field in the

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environmental consulting space
not let alone, I guess, you

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know, from maybe the medical
field as well.

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But maybe talk a little bit
about your origin, you know, the

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mission that you have.
What was the turning point that

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made you want to start this?
I think a little bit has to do

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with this moving around with
your child in the communities.

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But why don't you share with us
a little more on that?

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Yeah, sure.
I, I mean, I kind of always knew

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the world was polluted, right?
But I was really, really asleep

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about the extent of it until I
moved my child into, brought her

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home from the hospital to a
neighborhood where a lot of

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people were getting strange
brain and lung cancers.

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And this information came to me
informally.

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It's not like there is a
statistical, it's not like it's

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published the New York Times or
something.

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And it's not really widely
known.

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None of them really are.
And so immediately I was like,

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oh man, I, I got to get out of
here.

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So I moved closer to the
actually to the country

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countryside.
I had been in the city.

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And within three months of that
second move, I discovered

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discovered that I had moved into
the middle of a pediatric cancer

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cluster.
And this is not like, you know,

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big waste industrial waste site.
This is a beautiful part of the

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seacoast region of the seacoast
between Maine and New Hampshire

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with lobster boating and lots of
sailboats and access to the

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forests and the mountains nearby
and beautiful architecture,

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expensive real estate, great
schools.

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Like it's not with your typical
kind of waste site that you

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would think.
And then I read the New

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Hampshire State report about
this cancer cluster and

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discovered all of the hypotheses
about what the causes could be

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were environmentally related.
And through that, I came across

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all these environmental
environmental toxin maps that

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I've never seen before.
And it just profoundly shifted

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my understanding of the
environment in the world.

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And I immediately moved from
there thinking, Oh my God, I got

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to get out of here.
But I had no way of knowing that

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the place I moved next to is
going to be any different than

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the first two I accidentally
moved to because I didn't have

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the tool that I've created in
order to solve that problem,

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right?
So I began digging in EPA

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websites and state cancer maps
and slowly, slowly.

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I'm not an environmental
scientist like Peter is.

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And I mean it just took me years
to figure out what's going on

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and I I would spend hours and
hours just looking up 1 address

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and sometimes days and weeks to
get the full picture.

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And because we have the right to
the access to this information,

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I decided to create the tool I
needed and what I think every

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human being needs to know to
make smart, informed decisions

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about their life.
And so that is the personal

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story.
But of course, the data set we,

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Peter has created, he is an
absolute environmental toxin

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data ninja.
And he's been, we've, he's

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integrated over 60 environmental
toxin geospatial data sets into

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a harmonized layer on our map
with we're tracking 1500

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different environmental toxins.
And it has, we have this data

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asset, right?
It's this and then an asset

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around the interactive map in
the tool so that people can

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easily visualize, understand
digest the information as

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opposed to what I found when I
started digging around, you

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know, state data databases and
and EPA because that's like in

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tables and with, you know, lat
logs.

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And I mean, it was impossible
for me to digest.

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This allows anybody at any
level, whether it be complete,

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you know, newbie like I was to a
very sophisticated environmental

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scientist like Peter or
yourself, to digest instantly

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and utilize in whatever way they
need to.

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Right.
Yeah.

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No, that's great.
I mean, and I think there's

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always been a desire for some,
some tool like this available

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to, to to individuals.
I mean, because, you know,

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you've got the ECHO database for
the EPA and it largely has a lot

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of good stuff in there.
But there are some gaps

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obviously from state to state
and industry to, to, you know,

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even if you look at the
military.

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So there's still, like a lot of,
you know, gaps.

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And so, you know, Peter, how did
you get plugged into this

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opportunity to help Dev?
Yeah, great question.

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And you know to to speak to your
thing about the ECHO data set,

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right, Like that's where we kind
of start.

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We as environmental
professionals, that's where we

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start.
But we are like, you know, it's

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a rabbit hole.
It's multiple rabbit holes.

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You have trouble, you like, oh
great, now I see the sites, but

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not what's at each site and
what's the deal and when and all

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that stuff.
So definitely a tough user

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interface to for the, the
layperson I was.

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So I've been out for after
getting my masters and doing all

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that GIS learning all that
stuff.

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I've been out consulting for
almost 20 years and in the 1st

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batch company I worked for
supported EPA quite a bit, both

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at the national level, state
levels, some state governments

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as well.
One of them was what used to be

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called the Office of Research
and Development, which had a

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group that dealt with landscape
level data sort of management

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analysis and visualization.
And it grew into the EPA's

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Enviro Atlas, which while the
organization AKAORD no longer

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exists on paper in our
government, the Enviro Atlas

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still doesn't.
Many of the folks that are that

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that supported and are working
are still there.

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So I worked on Enviro Atlas and
help them with hundreds of

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foundational data sets for that
and really helped get them sort

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of developed and then help them
prop it up tested.

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That sort of stuff is a great,
great project.

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Loved it.
Great people too, just amazing

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stuff.
Really challenged me as a

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geospatial professional.
And so I had that and being so

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excited about it.
I had it on on my sort of CV

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resume there and on one of the
business professional social

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media websites.
I could certainly say it, Deb,

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shoot me a text.
And I was like, hey, she's like,

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hey, this is an environment,
this thing, What do you know

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about it?
I'm like, well, I know a lot

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actually.
So we started.

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I haunted him down.
I haunted him down and found.

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His.
Research.

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Skills paid off.
Yeah, no.

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He's really weird.
It was so I'm like, OK, this is

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great.
I'm not completed.

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He has an elite skill set that's
really hard to find, and he has

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been navigating the data with
incredible accuracy and and

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rigor and finesse and really
showing incredible thought

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leadership.
That's great.

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I mean you guys sounds like a
good match there.

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You know the solution for a
first time user.

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You walk us through like, you
know, how does Toximap translate

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raw environmental data into a
simple user interface that

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includes interactive map, you
know, maybe mapping your

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neighborhood.
So you've got this toxic

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neighborhood intensity score
type thing.

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Help us understand how this
works if you could.

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And maybe what we could do is
screen share and you can walk us

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through it that way.
I don't know if that's the best

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way to to discuss it, but it
might be I'm I've got a hunch.

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Yeah, no, that's that's great.
So I will absolutely do that.

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So let's see here.
Not sure that button is.

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I'll give you the high level
while she's doing it.

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So you know, for me, I'm and,
and you know, you've probably

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done this as well as you, you've
taken a lot of data for, for

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clients and had to summarize it
or rank it, rank it or put it in

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some sort of order of such.
So essentially that sort of

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skill set.
And with the geospatial analysis

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part, we take the sort of
universe of potentials across

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the United States and say, OK,
let's divvy them up

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statistically within each media
and within each database and get

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sort of an independent score for
each of those sets of data.

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And then roll it up into a
overall toxin intensity score

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for a given address with all
those sort of calculations on

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the fly, right?
Like you type the address in

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and, and now we're seeing it.
Basically it zooms into a, a

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location or an address and, and
at that point, we'll then

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produce both the Max, I'm sorry,
the map.

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And then those scores sort of
you can see there by air, water

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and land.
And then within the different

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data sources, under air, water
and land and then overall toxin

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intensity score.
Yeah.

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So he, he had to download and
harmonize and we have spatially

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aligned, you know, over 60 data
sets into 111 CSV file.

231
00:13:00,960 --> 00:13:03,360
And then we layer it on to to
map box.

232
00:13:03,720 --> 00:13:07,440
And then he has a, you know, a
special patent pending algorithm

233
00:13:07,440 --> 00:13:12,320
that takes into account toxin
intensity of each area, I mean

234
00:13:12,320 --> 00:13:14,560
of each medium.
And so this is where I was

235
00:13:14,560 --> 00:13:18,240
living when I learned about the
cancer cluster and notice that

236
00:13:18,240 --> 00:13:23,000
it's, it's, it's not even a, an
extreme toxin toxicity score.

237
00:13:23,000 --> 00:13:27,440
It's moderate.
So this was my address and each,

238
00:13:27,520 --> 00:13:31,720
this is an interactive map.
So each symbol on the map has a

239
00:13:31,720 --> 00:13:34,080
meaning.
And this is basically my address

240
00:13:34,080 --> 00:13:37,400
at the time.
And this is a Superfund site.

241
00:13:37,440 --> 00:13:40,840
And if we click on any of these
sites, actually it will give you

242
00:13:40,840 --> 00:13:46,400
a list of what the what the
toxins are present in that site

243
00:13:46,920 --> 00:13:48,800
to the degree that we have that
information.

244
00:13:48,800 --> 00:13:51,040
So arsenic, benzene and five
more.

245
00:13:51,040 --> 00:13:54,520
And you won't click on area
summary summary to see what five

246
00:13:54,520 --> 00:13:56,720
other ones.
So arsenic, benzene, cadmium,

247
00:13:56,720 --> 00:14:00,560
lead, mercury, PHSPCBS, just in
that one site.

248
00:14:02,200 --> 00:14:06,880
If we come back to the map, we
can click on, let's just do this

249
00:14:06,880 --> 00:14:08,440
one.
This is a brown.

250
00:14:08,920 --> 00:14:11,760
Go ahead.
So that's a great example of a

251
00:14:12,160 --> 00:14:16,480
specific location where there is
a contaminated site.

252
00:14:17,080 --> 00:14:22,000
Is there any information that
you also provide related to like

253
00:14:22,080 --> 00:14:27,400
is there sounds like the
exposure for the site is maybe

254
00:14:27,400 --> 00:14:30,560
it's on site, but is there off
site exposure challenges or

255
00:14:30,560 --> 00:14:35,560
concerns are those identified in
the the discovery of the

256
00:14:35,560 --> 00:14:37,200
information?
Or is it just say, hey, here's

257
00:14:37,200 --> 00:14:39,800
the parameters of toxin that we
know of that are here?

258
00:14:40,080 --> 00:14:42,040
Is it, is it, you know, limiting
to some of it?

259
00:14:42,120 --> 00:14:43,920
I mean, maybe you can explain
that a little bit.

260
00:14:44,680 --> 00:14:46,720
Yeah.
Do you want to do it or do you

261
00:14:46,720 --> 00:14:47,320
want me to?
Sure.

262
00:14:47,920 --> 00:14:49,280
Sure, we've talked about this
somewhat.

263
00:14:49,280 --> 00:14:51,000
Yeah, a lot.
And not just the two of us,

264
00:14:51,000 --> 00:14:54,600
we've got other folks that help
support us, including a board

265
00:14:54,600 --> 00:14:58,520
certified toxicologist too.
So the reality is there's a

266
00:14:58,520 --> 00:15:02,000
difference between a hazard and
a risk.

267
00:15:02,760 --> 00:15:04,600
And it's subtle.
We shouldn't get into it because

268
00:15:04,600 --> 00:15:07,360
I'll mess it up.
But all of what we're trying to

269
00:15:07,360 --> 00:15:10,240
do here is say, hey, these
things are here.

270
00:15:10,360 --> 00:15:14,680
And of course, the time that
these things were placed or

271
00:15:14,840 --> 00:15:19,480
became into existence, the
intensity, the longevity, your

272
00:15:19,480 --> 00:15:22,760
own role in being around that,
you know, all those things are

273
00:15:22,760 --> 00:15:26,120
just, they're too much variables
for us to say this is your

274
00:15:26,880 --> 00:15:28,520
exposure.
What we do is a risk of

275
00:15:28,520 --> 00:15:31,600
exposure, right?
It's just to say this is all

276
00:15:31,600 --> 00:15:34,480
here, right?
And this is so much more than

277
00:15:34,480 --> 00:15:37,000
you can get from any other
place.

278
00:15:37,000 --> 00:15:39,480
And you know from Echo that you
can click on the points and it

279
00:15:39,480 --> 00:15:42,520
tells you the name and address
and it gives you their unique

280
00:15:42,520 --> 00:15:46,880
UEPAID for their facility, their
facility registration number,

281
00:15:47,080 --> 00:15:49,640
but that's it.
They don't easily.

282
00:15:49,640 --> 00:15:52,200
You have to click three more
websites to even get a list of

283
00:15:52,200 --> 00:15:54,600
what they do.
And maybe you get a list of

284
00:15:54,600 --> 00:15:56,520
chemicals.
Maybe you don't right.

285
00:15:57,000 --> 00:15:59,720
You have to do that for each
individual site and you can't

286
00:15:59,720 --> 00:16:02,360
even do it for some of these
data sets like the Tri sites

287
00:16:02,360 --> 00:16:04,760
that we've got.
I had to do a some serious

288
00:16:04,760 --> 00:16:07,920
transformation and sort of a
special request from E pay to do

289
00:16:07,920 --> 00:16:10,760
a data dump for me to then use
to then harmonize with our data

290
00:16:10,760 --> 00:16:12,320
sets.
So there's a definitely a couple

291
00:16:12,320 --> 00:16:15,640
steps to go in there that make
this sort of a boom within 3

292
00:16:15,640 --> 00:16:17,480
miles.
Just how many of sites each of

293
00:16:17,480 --> 00:16:19,680
the things you got?
This is a list of toxins in the

294
00:16:19,680 --> 00:16:22,280
different media.
Boom, easy button, right?

295
00:16:22,600 --> 00:16:26,560
Yeah, yeah, exposure.
Is really dependent on how each

296
00:16:26,560 --> 00:16:29,320
individual interacts with those
points.

297
00:16:29,400 --> 00:16:33,720
And it's it's actually a point
of empowerment because people

298
00:16:33,720 --> 00:16:36,560
can radically reduce their
exposure risk and their actual

299
00:16:36,560 --> 00:16:40,680
exposure if they simply abstain
from interacting with the sites

300
00:16:40,680 --> 00:16:43,680
that are toxic.
And they can't do that unless

301
00:16:43,680 --> 00:16:47,080
they know where they are at the
same time there is spread,

302
00:16:47,160 --> 00:16:48,840
right?
They're spread through storm

303
00:16:48,840 --> 00:16:52,320
waters, they're spread through
wind over time, they're spread

304
00:16:52,320 --> 00:16:55,000
through groundwaters to the
degree to which something's not

305
00:16:55,000 --> 00:16:58,040
contained.
And so it's kind of like a

306
00:16:58,040 --> 00:17:01,520
little bit of a soup, right.
We kind of live in A to some, to

307
00:17:01,800 --> 00:17:05,680
greater or lesser degrees, and
if we know what we're being

308
00:17:05,680 --> 00:17:10,839
exposed to or what's present,
yeah, for any other purpose, not

309
00:17:10,839 --> 00:17:15,000
only health, but also all kinds
of decisions, financial

310
00:17:15,000 --> 00:17:18,119
decisions, real estate
decisions, investment decisions,

311
00:17:18,680 --> 00:17:22,520
insurance decisions.
You know what the risk set is to

312
00:17:22,520 --> 00:17:26,720
begin with or you have the data
are incomplete like the EPA is

313
00:17:26,720 --> 00:17:30,520
not tested every single square
inch of soil and water in the

314
00:17:30,760 --> 00:17:33,320
US.
So our map is kind of an under

315
00:17:33,320 --> 00:17:35,640
representation.
It's an underestimate, we'll

316
00:17:35,640 --> 00:17:37,720
say.
It's a good indication of what

317
00:17:37,720 --> 00:17:40,960
your potential concerns are in
the neighborhood.

318
00:17:40,960 --> 00:17:44,320
So you can actually have an idea
of if you think you have

319
00:17:44,320 --> 00:17:46,880
symptoms that might be related
to something like that.

320
00:17:46,880 --> 00:17:49,800
Well, maybe there is a 'cause
that's the 'cause that could be

321
00:17:49,800 --> 00:17:50,840
the 'cause.
We never know.

322
00:17:50,840 --> 00:17:54,840
But I mean, at least you have a
good indication of what areas

323
00:17:55,000 --> 00:17:58,680
that you maybe live in that
have, you know, have had some

324
00:17:58,680 --> 00:18:01,480
exposure to.
Yeah, I mean, it's it gives you

325
00:18:01,480 --> 00:18:03,360
a huge leg up, right.
Yeah.

326
00:18:04,640 --> 00:18:08,280
And the reality is, it all boils
down to knowledge is power,

327
00:18:08,280 --> 00:18:09,840
right?
Yeah, absolutely.

328
00:18:09,880 --> 00:18:11,080
I know.
I get you.

329
00:18:11,720 --> 00:18:14,320
You know when you when you guys
track your guys are tracking

330
00:18:14,320 --> 00:18:18,520
over 150 different toxins.
What specific public and private

331
00:18:18,520 --> 00:18:22,520
data sources aside from maybe
like the EPA, you know, echo

332
00:18:22,520 --> 00:18:26,240
site are you guys using to
aggregate to bring all this

333
00:18:26,240 --> 00:18:28,440
together?
I mean, are you talk a little

334
00:18:28,440 --> 00:18:30,520
bit about some of the types of
sources you guys are pulling?

335
00:18:30,520 --> 00:18:31,280
Sure.
Yeah.

336
00:18:31,280 --> 00:18:35,240
So in the current version that
was just shown by by Deb there

337
00:18:35,760 --> 00:18:42,800
we we have about almost 1000
toxins from essentially five

338
00:18:42,800 --> 00:18:44,960
different major data sources
there.

339
00:18:45,680 --> 00:18:51,280
We are in the process of pulling
in not just the five major data

340
00:18:51,280 --> 00:18:54,560
sets but and Deb has said this
already 60 data sets.

341
00:18:54,560 --> 00:18:57,360
So what we are socially doing is
we start with the low hanging

342
00:18:57,360 --> 00:18:59,960
fruit that's EP as databases
etcetera.

343
00:19:00,240 --> 00:19:02,880
And I see low hanging fruit
still requires a lot of work and

344
00:19:02,880 --> 00:19:06,040
massaging and then starting to
look at state data sets because

345
00:19:06,040 --> 00:19:09,040
we know that there's a lot of
state data sets that sometimes

346
00:19:09,040 --> 00:19:11,400
roll up to the feds.
Sometimes it takes a while to

347
00:19:11,400 --> 00:19:13,480
roll up to the feds.
Sometimes it never goes.

348
00:19:13,480 --> 00:19:15,800
Up never goes up there.
Yeah, because they don't have

349
00:19:15,960 --> 00:19:19,080
money to do it, but they just
track their own state, State

350
00:19:19,080 --> 00:19:22,920
lead sites, voluntary
remediation sites, USD sites

351
00:19:22,920 --> 00:19:24,360
that don't go all the way up to
the feds.

352
00:19:24,760 --> 00:19:28,240
There's, I mean, and of course,
as with everything you go from

353
00:19:28,240 --> 00:19:30,640
one state to another, it can be
drastically different.

354
00:19:30,640 --> 00:19:34,040
So our next version of release,
we're going to essentially

355
00:19:34,040 --> 00:19:37,680
double the amount of unique
toxicants in the land, air and

356
00:19:37,680 --> 00:19:38,960
water.
We're going to get around, we're

357
00:19:39,600 --> 00:19:41,360
actually going to get close to
1900.

358
00:19:42,040 --> 00:19:45,680
It says 1500, but it's when we,
when I get all done and said

359
00:19:45,680 --> 00:19:49,360
with this, this effort I'm
currently under way on we're,

360
00:19:49,480 --> 00:19:51,560
we're going to have 1900
different toxins.

361
00:19:52,160 --> 00:19:55,280
We're going to drastically
improve the number and ability

362
00:19:55,280 --> 00:19:58,040
for folks to understand not
drinking water.

363
00:19:58,040 --> 00:20:01,280
But the other one, the the
contact surface water, lakes,

364
00:20:01,280 --> 00:20:04,000
ponds, rivers, streams, we're
going to drastically improve

365
00:20:04,000 --> 00:20:07,160
that data set quite a bit in
terms of detail.

366
00:20:07,160 --> 00:20:10,080
Also the air quality right now
we went for the low hanging

367
00:20:10,080 --> 00:20:12,960
fruit air quality.
You know, people know AQI,

368
00:20:13,080 --> 00:20:15,640
right?
There's 66 sort of measured

369
00:20:15,640 --> 00:20:18,920
chemicals that go into that.
We've got those six, but.

370
00:20:20,040 --> 00:20:22,400
There's hundreds that they're
actually measuring, so we're

371
00:20:22,400 --> 00:20:25,480
going to bring those in too.
Yeah, well, you know the the

372
00:20:25,480 --> 00:20:30,480
likelihood now too of well, not
the likelihood the emergence of

373
00:20:30,480 --> 00:20:33,800
P Foss in the industry.
I mean that one should be, I

374
00:20:33,800 --> 00:20:37,600
would think, a big hot topic for
Toxie map to start tracking.

375
00:20:37,600 --> 00:20:38,080
It.
Oh yeah.

376
00:20:38,400 --> 00:20:41,280
Well, yeah, you saw it on that
list, right there was the list

377
00:20:41,280 --> 00:20:42,520
she had of Yeah.
It's.

378
00:20:43,600 --> 00:20:45,800
In there.
Already it's in there.

379
00:20:45,960 --> 00:20:48,600
It is in there so and so.
There's a difference between

380
00:20:48,920 --> 00:20:51,240
measuring it and a different
difference between addressing it

381
00:20:51,240 --> 00:20:52,800
as a standard.
And that's the hot topic right

382
00:20:52,800 --> 00:20:55,480
now is how much is too much,
right?

383
00:20:55,720 --> 00:20:59,480
And you're getting different
values associated from EPA and

384
00:20:59,480 --> 00:21:01,680
different state level.
I live in North Carolina, and so

385
00:21:01,920 --> 00:21:05,040
you know.
You got some contamination there

386
00:21:05,080 --> 00:21:05,760
for sure.
What are the?

387
00:21:06,000 --> 00:21:08,200
PFAS.
PFAS crucibles, if you will.

388
00:21:08,320 --> 00:21:12,240
Although you know. 1st in
flight, first in PFAS, no.

389
00:21:12,360 --> 00:21:14,960
The.
The reality is it was just the

390
00:21:14,960 --> 00:21:17,000
first time people really noticed
it, right?

391
00:21:17,000 --> 00:21:18,520
And of course, yeah, we have a
lot.

392
00:21:18,520 --> 00:21:21,320
And so the states are coming up
with their own guidelines and

393
00:21:21,320 --> 00:21:25,440
roles and all of that is is just
so such new science, right?

394
00:21:25,440 --> 00:21:29,560
Like, I'm training individuals
that I'm learning from that are

395
00:21:29,560 --> 00:21:32,880
in my classes that are learning
with the toxicologist at Duke

396
00:21:33,480 --> 00:21:35,400
about how to deal with this PFS
thing.

397
00:21:35,400 --> 00:21:39,080
I mean, it's just crazy.
I feel lucky to be sort of in

398
00:21:39,080 --> 00:21:41,440
the room, if you will, with
these folks because it's really

399
00:21:41,480 --> 00:21:44,200
neat to watch these smart people
go at it.

400
00:21:44,600 --> 00:21:48,920
It's it's certainly it's not
going to be something that goes

401
00:21:48,920 --> 00:21:52,200
away anytime soon in the market
in our lifetime basically.

402
00:21:52,200 --> 00:21:55,400
And yeah, so there's always
going to be an interesting and

403
00:21:55,400 --> 00:21:58,400
where the exposure is, where the
concentrations are highest,

404
00:21:58,520 --> 00:22:02,480
what's going on with drinking
water, you know, facilities

405
00:22:02,480 --> 00:22:06,840
where's, where's the watersheds
that are, are mostly impacted.

406
00:22:06,840 --> 00:22:10,040
I mean, so you know, when you
mentioned you're going to start

407
00:22:10,040 --> 00:22:13,160
adding, you know, surface water
type stuff to it too, that's

408
00:22:13,160 --> 00:22:15,520
that's going to be pretty
interesting if there's a lot of

409
00:22:15,520 --> 00:22:17,760
data in there.
I know for some recent

410
00:22:17,760 --> 00:22:21,160
conversations we've had with
some state agencies that yeah,

411
00:22:21,160 --> 00:22:23,800
they've done some mapping,
they've done the the sampling of

412
00:22:23,800 --> 00:22:26,280
where P Foss is kind of high in
surface water.

413
00:22:26,280 --> 00:22:28,400
And they doing that because
they're trying to figure out

414
00:22:28,880 --> 00:22:31,520
where the public intakes are
from the drinking water

415
00:22:31,520 --> 00:22:33,760
facilities and should they go
upstream and who's the

416
00:22:33,760 --> 00:22:35,840
environment, who's the
industrial dischargers and

417
00:22:35,840 --> 00:22:36,880
things like that.
So.

418
00:22:37,200 --> 00:22:41,600
Yeah, and this is The thing is
we're learning that PFAS, not to

419
00:22:41,600 --> 00:22:44,320
stay stuck on it, you know, it's
using a lot of different things

420
00:22:44,320 --> 00:22:46,400
and in some cases it's used in
very important things like

421
00:22:46,400 --> 00:22:51,520
firefighting foam, which.
OK, great, Well, OK, great.

422
00:22:51,520 --> 00:22:54,880
What if we use it once on an
airplane or a fire, a Firehouse

423
00:22:54,880 --> 00:22:57,400
or firehouses, store it,
whatever, right?

424
00:22:57,400 --> 00:22:59,720
Like all these things that
aren't just necessarily

425
00:22:59,720 --> 00:23:04,520
industrial producers of Teflon,
but just like plastic.

426
00:23:04,560 --> 00:23:06,560
What do we use that has plastic
in it?

427
00:23:07,640 --> 00:23:09,520
Everything.
Almost everything.

428
00:23:09,680 --> 00:23:10,600
Everything.
Yeah.

429
00:23:11,160 --> 00:23:15,920
There's an article recently that
came out that indicated research

430
00:23:15,920 --> 00:23:20,280
has found PFAS in the
bloodstream of polar bears in

431
00:23:20,280 --> 00:23:22,640
Greenland.
So it is ubiquitous.

432
00:23:22,640 --> 00:23:25,800
It's not just like, you know, in
our drinking water, It's been

433
00:23:25,800 --> 00:23:28,760
spread all over the world.
Our assumption is that it's

434
00:23:28,760 --> 00:23:31,000
ubiquitous.
And, you know, where do we go

435
00:23:31,000 --> 00:23:32,280
from there?
What are we going to do about

436
00:23:32,280 --> 00:23:34,880
it?
What, how can we manage that and

437
00:23:34,880 --> 00:23:38,920
what protect our bodies from it?
And there are techniques, there

438
00:23:38,920 --> 00:23:42,480
are things that can actually
pull PFAS out of drinking water.

439
00:23:42,480 --> 00:23:45,760
So which is a really good?
News yeah, there's a lot of

440
00:23:45,760 --> 00:23:49,080
really good technology for that
and and that's great.

441
00:23:49,320 --> 00:23:52,520
And and finally, you know,
there's there is some, you know,

442
00:23:52,520 --> 00:23:55,680
I think some security down the
road for a lot of people who are

443
00:23:55,680 --> 00:23:58,400
concerned about exposure.
But it definitely is going to

444
00:23:58,400 --> 00:24:01,240
come at a cost, unfortunately
for the ratepayers of a lot of

445
00:24:01,240 --> 00:24:03,720
drinking water facilities who
weren't the cause of the

446
00:24:03,760 --> 00:24:07,840
contamination, unfortunately.
And they're paying the the cost

447
00:24:07,840 --> 00:24:11,400
and it's it's unfortunately not
really a fair proposition.

448
00:24:11,400 --> 00:24:13,840
But what are you going to do?
Are you going to have bad water

449
00:24:13,840 --> 00:24:17,560
or are you going to, you know,
so that's the crux that we're in

450
00:24:17,560 --> 00:24:20,680
with a lot of these communities
that are highly impacted.

451
00:24:21,840 --> 00:24:24,560
Hello ET Nation, I want to thank
you for listening to the

452
00:24:24,560 --> 00:24:26,080
podcast.
If you're enjoying the

453
00:24:26,080 --> 00:24:28,960
interviews we bring you,
consider supporting the program

454
00:24:28,960 --> 00:24:32,920
by visiting my website at
seankgrady.com and buy me a cup

455
00:24:32,920 --> 00:24:35,040
of coffee.
Proceeds will go towards helping

456
00:24:35,040 --> 00:24:38,440
me continue producing timely
content and offset production

457
00:24:38,440 --> 00:24:41,360
costs.
I'd also like to take a moment

458
00:24:41,360 --> 00:24:43,880
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461
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469
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470
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You know, when you look at this

498
00:27:01,600 --> 00:27:04,680
technology stack you guys are
working on, talk about building

499
00:27:04,680 --> 00:27:08,200
a platform that geolocates
toxins with the three mile

500
00:27:08,200 --> 00:27:11,520
radius and you know this massive
data challenge, you know, what

501
00:27:11,520 --> 00:27:15,400
core technologies are you using
to power this visualization?

502
00:27:15,920 --> 00:27:20,280
Yeah.
You know, Peter has his GIS, you

503
00:27:20,280 --> 00:27:23,640
know his amazing, his technology
there in his office, but we also

504
00:27:23,640 --> 00:27:26,480
have a CTO and he's working on
that.

505
00:27:26,480 --> 00:27:30,080
He's using a number of different
technologies.

506
00:27:30,120 --> 00:27:34,520
I'll just mention a few.
He we are using map box for the,

507
00:27:34,640 --> 00:27:38,920
the, it's the kind of the very
user friendly kind of a simple

508
00:27:39,160 --> 00:27:41,960
interactive map program that's
out there.

509
00:27:41,960 --> 00:27:46,200
We're using super base for the
data and React for some of the

510
00:27:46,200 --> 00:27:49,080
coding and it's on AWS so it's
it's a.

511
00:27:49,240 --> 00:27:53,240
Cloud system.
Yeah, it's a very big data set

512
00:27:53,240 --> 00:27:56,240
with obviously backed up many
times.

513
00:27:56,800 --> 00:27:58,920
And we also have a lot of
security, you know,

514
00:27:58,920 --> 00:28:02,680
cybersecurity measures in place
that in fact we have one of the

515
00:28:02,760 --> 00:28:06,840
top cybersecurity experts on the
board and she's advising us on

516
00:28:06,840 --> 00:28:10,120
that matter often.
So we had, it's a very complex

517
00:28:10,120 --> 00:28:14,160
but very manageable stack and we
have a really capable, we're

518
00:28:14,160 --> 00:28:15,880
blessed with the capable
technology, yeah.

519
00:28:16,720 --> 00:28:19,200
He's straight.
Keeping it fast is important,

520
00:28:19,200 --> 00:28:20,120
right?
Yeah.

521
00:28:20,120 --> 00:28:22,480
Right, that is the the the trick
right?

522
00:28:22,720 --> 00:28:25,360
And and curious, is AI playing a
role in this?

523
00:28:25,400 --> 00:28:27,840
I don't know this stack for you
guys as well.

524
00:28:28,720 --> 00:28:31,920
Well, we are not predicting
anything, OK?

525
00:28:31,920 --> 00:28:34,440
We are.
We are presenting reality.

526
00:28:34,480 --> 00:28:36,880
So we're not doing any
predictive modeling.

527
00:28:36,880 --> 00:28:40,320
We're not.
We, our CTO may use AI in some

528
00:28:40,320 --> 00:28:42,760
of the code creation process,
but that's it.

529
00:28:42,760 --> 00:28:46,480
All the data are real life, real
world accurate.

530
00:28:46,880 --> 00:28:51,040
And I think paradoxically, in
this age of AI mania, it's a

531
00:28:51,040 --> 00:28:55,280
strength of ours to be grounded
and rooted in the real world.

532
00:28:56,160 --> 00:29:00,160
Yeah, they're, you know, we,
we've had discussions about oh,

533
00:29:00,160 --> 00:29:03,600
no, OK, wouldn't it be great if
there was a sort of site based

534
00:29:04,120 --> 00:29:09,560
agentic or agent AI to help
someone explore this explore

535
00:29:09,560 --> 00:29:13,280
Toxie map or explore the data
that comes out of their St.

536
00:29:13,280 --> 00:29:14,720
search.
So it's definitely on our

537
00:29:14,720 --> 00:29:17,280
horizon, but we're not, we're
certainly not.

538
00:29:17,360 --> 00:29:20,360
We're just using, we're using
cloud storage, right?

539
00:29:20,840 --> 00:29:25,320
Like I joke, we're using server
farms as opposed to corn farms.

540
00:29:25,320 --> 00:29:28,360
We're using server farms and so
does everybody else.

541
00:29:28,920 --> 00:29:31,520
Basically we see if we, you
know, we have an amazing road

542
00:29:31,520 --> 00:29:33,040
map.
There's so much on our road map

543
00:29:33,040 --> 00:29:35,040
that's exciting.
And one of the things not only

544
00:29:35,040 --> 00:29:38,760
having sort of like a chat bot
or something to help somebody

545
00:29:38,760 --> 00:29:41,120
through the massive amount of
information, but also we

546
00:29:41,120 --> 00:29:45,760
envision a future where maybe
there is a pollution copilot,

547
00:29:46,120 --> 00:29:48,720
you know, for, for every person
on their iPhone or their, their

548
00:29:48,720 --> 00:29:51,400
Android.
And that's definitely going to

549
00:29:51,400 --> 00:29:54,720
be have an AI component.
So we're we're using AI for some

550
00:29:54,720 --> 00:29:57,560
features, but not around the
data in the building, but not

551
00:29:57,560 --> 00:30:03,280
around the data itself.
Now some road map features.

552
00:30:03,280 --> 00:30:05,040
Let's talk a little bit about
some of your features.

553
00:30:05,040 --> 00:30:07,680
You kind of think I mean because
I can think of 1 right away that

554
00:30:07,680 --> 00:30:11,240
seems to be like an ideal fit
for this solution.

555
00:30:11,600 --> 00:30:15,400
What is that?
Well, say I'm a concerned

556
00:30:15,400 --> 00:30:19,560
citizen and I'm looking for, you
know, impacts in my

557
00:30:19,560 --> 00:30:22,200
neighborhood.
And I want to know once I figure

558
00:30:22,200 --> 00:30:25,240
out that I've got contaminated
sites that let right around my

559
00:30:25,400 --> 00:30:30,160
my home and do I have any
exposure that I need to worry

560
00:30:30,160 --> 00:30:35,200
about whether that air, water,
those types of things.

561
00:30:35,280 --> 00:30:38,760
Maybe there's a way to kind of
link up and partner with a, a

562
00:30:38,760 --> 00:30:42,440
company that could offer, you
know, a drop ship sampling prop,

563
00:30:42,600 --> 00:30:45,960
you know, program to sample your
water, you know, type thing and

564
00:30:46,200 --> 00:30:50,040
you use that data, start
building further data sets into

565
00:30:50,040 --> 00:30:51,360
this rate.
That's right.

566
00:30:51,800 --> 00:30:54,680
Kind of Crowdsource other
things, right, Right.

567
00:30:54,800 --> 00:30:57,800
Yeah, Crowdsourcing is actually
on our road map for sure, not

568
00:30:57,800 --> 00:31:02,440
just people that use Toxie map
to then get a sample.

569
00:31:02,440 --> 00:31:05,280
But the reality is a lot of
people have information already

570
00:31:05,320 --> 00:31:07,640
right, one way or another.
And so we're going to build that

571
00:31:07,640 --> 00:31:11,000
in as part of a road map is to
think, how do we really get the

572
00:31:11,000 --> 00:31:14,200
community involved?
Because this is this is all of

573
00:31:14,200 --> 00:31:16,040
us, right?
Like we care about this.

574
00:31:16,480 --> 00:31:19,160
We all do.
And the the more we care, the

575
00:31:19,160 --> 00:31:20,760
more benefit we get to each
other.

576
00:31:21,040 --> 00:31:24,080
You know, another, another one.
And just so, I mean, I think

577
00:31:24,080 --> 00:31:27,560
Deb, I told you this before, but
I've, I've, I used to operate

578
00:31:27,560 --> 00:31:29,200
and manage a software product
too.

579
00:31:29,680 --> 00:31:34,480
And so we had sprints and road
map planning and you know, all

580
00:31:34,480 --> 00:31:37,560
the, you know, I had a good
scrum master and you know, it

581
00:31:37,560 --> 00:31:39,600
was a lot of fun.
But here's another thought, you

582
00:31:39,600 --> 00:31:43,520
know, like where's the recycling
center, my closest recycling

583
00:31:43,520 --> 00:31:47,200
center to my property so I can
recycle those toxins that are,

584
00:31:47,200 --> 00:31:49,320
you know, maybe getting in the
system because not everyone, you

585
00:31:49,600 --> 00:31:52,000
know, usually knows where they
can find that data.

586
00:31:52,280 --> 00:31:54,520
Another little interesting
tidbit.

587
00:31:54,520 --> 00:31:56,200
Or where's the landfill, right?
I mean, there.

588
00:31:56,200 --> 00:31:59,600
So those are things I think, you
know, just kind of thinking out

589
00:31:59,600 --> 00:32:02,320
loud maybe, you know, helping
you kind of build out this

590
00:32:02,840 --> 00:32:06,640
future view of this program.
Since I've been in the

591
00:32:06,640 --> 00:32:10,680
environmental field a long time
myself, former consultant for 23

592
00:32:10,680 --> 00:32:14,120
years myself and a regulator for
aid, I kind of kind of know the

593
00:32:14,600 --> 00:32:17,240
the mindset of these guys.
And so yeah, that's another one

594
00:32:17,240 --> 00:32:20,000
that would be really good.
But when you talk about your

595
00:32:20,000 --> 00:32:22,520
target audience a little bit,
let's talk through that.

596
00:32:22,520 --> 00:32:25,080
I mean, you partner with
networks like the Mosaic

597
00:32:25,080 --> 00:32:28,360
Diagnostics, maybe talk a little
bit about who they are, what

598
00:32:28,360 --> 00:32:31,240
they are with it, what's their
the relationship with them?

599
00:32:31,240 --> 00:32:33,320
How does that product help them?
Yeah.

600
00:32:34,240 --> 00:32:38,160
So we have sort of AB to B to C
model right now as well as AB to

601
00:32:38,160 --> 00:32:41,400
C model.
And we are working with and

602
00:32:41,400 --> 00:32:46,640
through healthcare practitioners
and Mosaic Diagnostics is a

603
00:32:46,640 --> 00:32:50,560
reference lab and they have
three tests that assess the bio

604
00:32:50,560 --> 00:32:54,200
accumulation of environmental
toxins, you know in our body.

605
00:32:54,600 --> 00:32:58,240
And so that's a really important
partner because that gives our

606
00:32:58,520 --> 00:33:03,480
our B to C consumers users point
of, you know, an action that

607
00:33:03,480 --> 00:33:07,200
they can take that has very, you
know, that has great potential

608
00:33:07,200 --> 00:33:09,960
for healing.
Also, we are in the process of

609
00:33:09,960 --> 00:33:12,800
supporting integrative
naturopathic and functional

610
00:33:12,800 --> 00:33:17,000
doctors to really profoundly
change the standard of care

611
00:33:17,000 --> 00:33:21,840
around every touch point with a
patient to include a Toximap

612
00:33:21,840 --> 00:33:24,920
report for each patient.
So that not only are we talking

613
00:33:24,920 --> 00:33:29,240
about symptoms or diagnosis or
medications or whatever, but

614
00:33:29,240 --> 00:33:32,720
also what are your potential
exposures and which tests should

615
00:33:32,720 --> 00:33:36,800
we be ordering for you?
And then we can build a plan to

616
00:33:37,680 --> 00:33:41,760
create detoxification for your
body if you have stuff that's in

617
00:33:41,760 --> 00:33:45,320
the body, which most of us have.
And then how not to re toxify

618
00:33:45,360 --> 00:33:48,680
because when we are there and
there are great technique for

619
00:33:48,680 --> 00:33:52,280
detox, but if we're constantly
being retoxed at the same time,

620
00:33:52,440 --> 00:33:55,080
it's kind of a race between
detox and Retox.

621
00:33:55,160 --> 00:33:59,680
And if people the interventions
not going to to be sustainable

622
00:33:59,680 --> 00:34:01,880
if they're just everyone's just
being retoxified.

623
00:34:02,360 --> 00:34:07,160
And so Toximap helps detox win
that race because people can

624
00:34:07,160 --> 00:34:11,400
they're incredible mitigating
actions patients or people can

625
00:34:11,400 --> 00:34:14,800
take.
If they are aware of what toxins

626
00:34:14,800 --> 00:34:17,320
are in their environment, they
can avoid the points of

627
00:34:17,320 --> 00:34:20,239
potential contact.
They can test their soil and

628
00:34:20,239 --> 00:34:23,920
maybe use garden raised beds or
something if they're going to do

629
00:34:23,920 --> 00:34:26,080
gardening or flowering.
So they're not interacting with

630
00:34:26,080 --> 00:34:30,120
the soil that much.
Water filters, air filters, you

631
00:34:30,120 --> 00:34:32,840
know, avoid the locations.
I'll tell you what, I do not

632
00:34:33,080 --> 00:34:36,120
allow my child to swim in any
water body that I haven't toxi

633
00:34:36,120 --> 00:34:38,480
mapped.
And that lesson was hard one,

634
00:34:38,480 --> 00:34:43,600
because there was a public town
pond in Massachusetts where we

635
00:34:43,600 --> 00:34:46,440
used to live that everyone went
to.

636
00:34:46,480 --> 00:34:50,040
Very sweet, you think this world
sweet little pond, great beach

637
00:34:51,239 --> 00:34:55,400
and she I would let, I would
unknowingly let her swim there.

638
00:34:55,400 --> 00:35:00,000
And after I create a Toxie map,
turns out it had elevated levels

639
00:35:00,000 --> 00:35:04,400
of mercury and that actually was
confirmed in her and some of her

640
00:35:04,400 --> 00:35:08,920
lab work.
That is a very powerful action I

641
00:35:08,920 --> 00:35:12,560
as a parent can take to protect
my child and myself.

642
00:35:12,640 --> 00:35:15,720
You know, if I just don't
interact with these points of

643
00:35:16,080 --> 00:35:20,280
potential exposure, it really
supports the healing process

644
00:35:20,280 --> 00:35:24,480
that that's happening.
Well, maybe Peter, you can maybe

645
00:35:24,480 --> 00:35:27,000
kind of talk a little bit about
some of the environmental

646
00:35:27,000 --> 00:35:30,840
consulting community type use
cases or any EHS professional

647
00:35:30,840 --> 00:35:34,800
and you know some of the other
potential personas of A use case

648
00:35:34,800 --> 00:35:37,800
that could help out and maybe
give us an idea of what you see

649
00:35:37,800 --> 00:35:39,920
there.
Yeah, sure.

650
00:35:40,000 --> 00:35:41,360
Yeah.
So Deb's already kind of

651
00:35:41,360 --> 00:35:44,200
mentioned how we've got
functional doctors, we've got

652
00:35:44,200 --> 00:35:47,160
mosaics.
So the, the company that

653
00:35:47,160 --> 00:35:53,040
provides the test to test the
human part and, or other

654
00:35:53,040 --> 00:35:56,600
companies that have the test
kits for the soil and water,

655
00:35:56,600 --> 00:35:59,360
right?
So, you know, taking, taking the

656
00:35:59,360 --> 00:36:01,320
knowledge that we give you and
go to the next level.

657
00:36:01,400 --> 00:36:04,040
And that's what we tend to do in
environmental consulting, right?

658
00:36:04,040 --> 00:36:09,560
We, we are helping investigate,
summarize and visualize and then

659
00:36:09,560 --> 00:36:13,720
make a recommendation.
So a lot of what we do and, and

660
00:36:13,720 --> 00:36:17,040
I still do in the environmental
consulting world is we do a like

661
00:36:17,040 --> 00:36:20,040
a landscape level analysis.
And then you start identifying

662
00:36:20,040 --> 00:36:22,280
sites of interest, whether
they're sites that are good or

663
00:36:22,280 --> 00:36:25,080
sites or that are bad, and then
you start to rank them, right?

664
00:36:25,080 --> 00:36:27,680
That's what we do for all sorts
of things as environmental

665
00:36:27,680 --> 00:36:30,280
profession.
And so the environmental

666
00:36:30,280 --> 00:36:32,640
consulting community, what
Toximap can do is provide a

667
00:36:32,640 --> 00:36:34,760
short, a short circuit, right, a
shortcut.

668
00:36:34,920 --> 00:36:38,840
And in in the consulting world,
you are billable to a project.

669
00:36:39,000 --> 00:36:41,160
You take time, you take money,
it takes budget.

670
00:36:41,400 --> 00:36:46,280
If you can do something in 30
minutes and QA it as opposed to

671
00:36:46,320 --> 00:36:49,720
6 to 8 hours while you save a
lot of money and time, right.

672
00:36:49,720 --> 00:36:51,520
And then you roll that up over
time.

673
00:36:51,520 --> 00:36:54,560
It saves a lot of money and time
for the company and the clients.

674
00:36:54,840 --> 00:36:56,240
Yeah.
I mean, you know, there's a lot

675
00:36:56,240 --> 00:37:00,160
of work on the environmental
side.

676
00:37:00,360 --> 00:37:05,400
So just for instance, all
appropriate inquiries related

677
00:37:05,400 --> 00:37:09,240
to, you know, a phase one kind
of due diligence type project.

678
00:37:09,600 --> 00:37:13,480
You know, we've typically will
go through an EDR request and

679
00:37:13,480 --> 00:37:16,520
and pull the data and see what
sites you see there.

680
00:37:16,880 --> 00:37:20,840
It's not always identifying the
containment concern, but you,

681
00:37:20,840 --> 00:37:25,640
you see a site, if you're doing
NEPA work, you've got to

682
00:37:25,640 --> 00:37:28,120
identify what are potential
concerns out there there.

683
00:37:28,120 --> 00:37:31,440
So I think you guys got a nice
niche here that you can get in

684
00:37:31,440 --> 00:37:33,880
front of the consulting
community and, and use this as

685
00:37:33,880 --> 00:37:38,280
an additional layer or
additional, you know, source of

686
00:37:38,280 --> 00:37:43,560
information for them to actually
grab this data quickly included

687
00:37:43,560 --> 00:37:47,160
in their report that you've
done, you know, this additional

688
00:37:47,280 --> 00:37:51,040
taxi map level, you know,
reviewed identifying these

689
00:37:51,040 --> 00:37:54,840
containments of concern.
Because you know, you're always

690
00:37:54,840 --> 00:37:58,720
trying to educate or, you know,
I guess not educate, but to, you

691
00:37:58,720 --> 00:38:03,200
know, inform the, the clients
what the concerns are in, in, in

692
00:38:03,200 --> 00:38:05,480
their area where they're looking
at whether it's a brownfield

693
00:38:05,480 --> 00:38:10,480
site or, you know, IPA projects,
you know, so, so if there's a

694
00:38:10,480 --> 00:38:14,480
way that I, I see a pathway
where you guys could get, you

695
00:38:14,480 --> 00:38:17,720
know, more in front of that
aspect of the environmental

696
00:38:17,760 --> 00:38:21,320
assessment phase and use it as a
tool for that, that would be

697
00:38:21,320 --> 00:38:23,920
really, I think powerful.
Yeah, absolutely.

698
00:38:23,920 --> 00:38:26,800
I mean I used to do Phase 1 Esas
and and I know all that goes

699
00:38:26,800 --> 00:38:30,440
into them and Toximap is of
course not going to replace

700
00:38:30,440 --> 00:38:33,400
that.
But I can certainly in a big

701
00:38:33,400 --> 00:38:37,800
way, like I said, short, short
circuit or supplement that any

702
00:38:38,400 --> 00:38:40,880
even, you know, the same thing
applies.

703
00:38:40,880 --> 00:38:44,880
And and Deb can talk more about
the relationship we have with a

704
00:38:44,880 --> 00:38:46,800
National Association of home
inspectors, right?

705
00:38:46,800 --> 00:38:50,360
Like home inspectors rely on
databases and things and, and

706
00:38:50,360 --> 00:38:53,400
put them into their report to
you, right, If you're going to

707
00:38:53,400 --> 00:38:57,280
buy a piece of property.
And so you get a home inspection

708
00:38:57,320 --> 00:39:00,680
right through that due diligence
period of of home buying.

709
00:39:01,000 --> 00:39:04,480
And so we we're in conversation
with them about that to supply

710
00:39:04,960 --> 00:39:08,320
sort of a plug in add in add on
thing as well, right.

711
00:39:08,360 --> 00:39:11,960
So this huge database has a lot
of great applications just like

712
00:39:11,960 --> 00:39:14,680
you, you identified for
environmental consultants for

713
00:39:14,840 --> 00:39:16,880
home inspector.
Yeah, insurance, yeah.

714
00:39:16,880 --> 00:39:18,520
I mean, yeah, there's so much
there.

715
00:39:18,520 --> 00:39:19,960
I think.
Yeah, I think you guys are on to

716
00:39:19,960 --> 00:39:22,840
something really cool.
Like I like where you're going

717
00:39:22,840 --> 00:39:25,200
with this, the maps very
interactive.

718
00:39:25,200 --> 00:39:27,880
I think the data is very
insightful.

719
00:39:28,160 --> 00:39:31,720
I do kind of like the, the
scoring metrics that you pulled

720
00:39:31,720 --> 00:39:36,720
together, although I think maybe
do you guys do any, do you kind

721
00:39:36,720 --> 00:39:40,120
of summarize how you derive
these scores for the user when

722
00:39:40,120 --> 00:39:43,120
they use it, they kind of have a
little peek behind like how they

723
00:39:43,120 --> 00:39:45,640
come up with this rating.
You know, what's the the

724
00:39:45,640 --> 00:39:49,520
process, because you probably I
can envision some engineers or

725
00:39:49,520 --> 00:39:51,880
some other scientists going,
hey, you know, what does this

726
00:39:51,880 --> 00:39:53,320
even mean?
And they're going to challenge

727
00:39:53,440 --> 00:39:55,280
at least the rating.
So I'm.

728
00:39:55,520 --> 00:39:57,720
Scared.
We welcome the challenge, We

729
00:39:57,720 --> 00:40:00,520
absolutely welcome any
challenge, any feedback to.

730
00:40:00,520 --> 00:40:02,720
The you, you know where I'm
coming from because that's just

731
00:40:02,720 --> 00:40:05,200
the nature of the nature of
scientific community, yeah.

732
00:40:07,080 --> 00:40:09,440
Yeah, let's, let's open the hood
and take a look at this thing.

733
00:40:09,560 --> 00:40:12,080
Yeah, right.
And so we want to open the hood

734
00:40:12,080 --> 00:40:13,840
appropriately.
So it's not.

735
00:40:14,240 --> 00:40:17,920
It's patent pending.
So we we have a few patents on

736
00:40:17,920 --> 00:40:21,120
this, but you can talk a little
bit about it it.

737
00:40:22,160 --> 00:40:26,120
Really, it really is true to to
what it says.

738
00:40:26,120 --> 00:40:29,280
It's an intensity, right?
And intensity has to do with the

739
00:40:29,280 --> 00:40:32,080
number and the density, spatial
density, right.

740
00:40:32,080 --> 00:40:37,360
So what we've done is and to
inform why did I get a moderate

741
00:40:37,680 --> 00:40:41,080
or OK, I've got a moderate, but
this one's really high.

742
00:40:41,120 --> 00:40:44,520
Like, that's why we give you
those sort of broken out levels

743
00:40:44,520 --> 00:40:46,360
of intensity by media.
Yeah.

744
00:40:47,000 --> 00:40:48,280
Because maybe you never go
swimming.

745
00:40:49,000 --> 00:40:49,800
Yeah, you're right.
Yeah.

746
00:40:49,800 --> 00:40:52,320
So it's not a big problem for me
if I'm not going swimming,

747
00:40:52,360 --> 00:40:54,040
right.
You know, it's like I don't have

748
00:40:54,040 --> 00:40:55,680
that exposure.
I don't eat fish, I'm not

749
00:40:55,680 --> 00:40:58,120
fishing, I'm not going to get in
the water, that sort of thing.

750
00:40:58,120 --> 00:41:01,720
But maybe, you know, we have
some colleagues that they love

751
00:41:01,720 --> 00:41:04,400
going swimming.
Yeah, well, I mean, you're

752
00:41:04,400 --> 00:41:06,120
right.
So it says, I got a question.

753
00:41:06,120 --> 00:41:10,400
How does toximat bridge the gap
between identifying a risk and

754
00:41:10,400 --> 00:41:13,040
taking action through healthcare
or mitigation?

755
00:41:13,880 --> 00:41:18,080
Yeah.
So we provide our users with

756
00:41:18,160 --> 00:41:21,600
mitigating in you know
mitigating steps that they can

757
00:41:21,600 --> 00:41:26,360
take like for instance if there
is has been some water drinking

758
00:41:26,360 --> 00:41:29,280
water contamination identified.
So we'll provide them

759
00:41:29,280 --> 00:41:35,120
information about how to which
water filters might be

760
00:41:35,120 --> 00:41:37,760
appropriate for the particular
contaminants in the drinking

761
00:41:37,760 --> 00:41:39,400
water.
So water filters either

762
00:41:39,400 --> 00:41:43,000
centrally through the house or
at each tap point in the house,

763
00:41:43,320 --> 00:41:46,960
which water bodies to avoid
Mosaic diagnostics, we give them

764
00:41:46,960 --> 00:41:49,520
a lot of resources for
toxicologist, functional

765
00:41:49,520 --> 00:41:53,120
doctors, naturopathic doctors,
chelation.

766
00:41:53,120 --> 00:41:56,560
There's a huge amount of amount
of resources on the site that we

767
00:41:56,560 --> 00:41:58,920
can provide.
Of course, the diagnostic

768
00:41:58,920 --> 00:42:03,960
testing as well, we're also
about to bring on the course

769
00:42:03,960 --> 00:42:07,800
from EMEI, which is
Environmental Medicine Education

770
00:42:08,200 --> 00:42:11,800
Institute that actually trains
doctors, but they have a course

771
00:42:11,800 --> 00:42:15,040
for the general public about how
to thrive in the polluted world

772
00:42:15,040 --> 00:42:18,400
or toxic environment.
And so they'll have lots of

773
00:42:18,400 --> 00:42:21,840
tricks and information there.
We also provide limited

774
00:42:21,840 --> 00:42:25,480
information about like opening
the detoxification pathways.

775
00:42:25,480 --> 00:42:27,640
We're not, we're not medical
doctors.

776
00:42:27,920 --> 00:42:31,080
We are not prescribing or
diagnosing or giving any sort of

777
00:42:31,080 --> 00:42:34,880
medical advice, but there's some
really simple things that people

778
00:42:34,880 --> 00:42:40,520
can do like dry brushing or
taking NAC or taking vitamin C

779
00:42:40,520 --> 00:42:44,920
and, you know, certain kinds of
detoxifying foods for infrared

780
00:42:44,920 --> 00:42:48,200
sauna, that kind of thing.
So that people feel like they're

781
00:42:48,200 --> 00:42:51,320
not just dumped with all this
information and know, you know,

782
00:42:54,480 --> 00:42:57,280
test the soil, test the water,
come up with there are

783
00:42:57,280 --> 00:43:00,040
solutions.
You know, I'm even hearing about

784
00:43:00,120 --> 00:43:04,800
people are inventing ways to
clean up.

785
00:43:04,800 --> 00:43:07,800
There's this new the mush, this
kind of mushroom that can eat

786
00:43:07,800 --> 00:43:10,360
certain types of toxins.
So I can imagine a world in

787
00:43:10,360 --> 00:43:14,600
which we're spawning a whole new
set of industries for cleanup.

788
00:43:14,600 --> 00:43:16,960
So but that that's down the
road.

789
00:43:16,960 --> 00:43:20,560
What right now we're focusing on
is informing people and making

790
00:43:20,560 --> 00:43:22,760
them feel empowered around this
information.

791
00:43:23,760 --> 00:43:25,360
No, that's great.
That's really good.

792
00:43:25,400 --> 00:43:29,280
I mean, yeah, you, you, you just
kind of touched on some stuff

793
00:43:29,280 --> 00:43:30,920
and it just hit me in the my
mind too.

794
00:43:30,920 --> 00:43:33,960
It's like you guys could do a
plug in with web MD or something

795
00:43:33,960 --> 00:43:35,920
like that.
You know, where they, you know,

796
00:43:35,920 --> 00:43:37,960
oh, you've got this.
Just go right here and look it

797
00:43:37,960 --> 00:43:40,920
up, right?
I mean, there's some cool stuff

798
00:43:40,920 --> 00:43:44,000
there that you're you're the
possibilities of this

799
00:43:44,000 --> 00:43:47,080
application are pretty endless.
I mean, I guess yeah, you guys

800
00:43:47,080 --> 00:43:48,240
are got.
I like it.

801
00:43:48,240 --> 00:43:50,400
I like it.
So let's talk about funding.

802
00:43:50,560 --> 00:43:51,960
Let's talk about funding and
growth.

803
00:43:53,080 --> 00:43:55,240
Funding and growth.
You guys are an emerging leader

804
00:43:55,240 --> 00:43:57,160
in the environmental with
environmental health.

805
00:43:57,280 --> 00:43:59,720
So where do you currently stand
with your funding?

806
00:43:59,720 --> 00:44:02,480
You know your seed, your Series
A, you know what kind of key

807
00:44:02,480 --> 00:44:06,800
milestones are you aiming to hit
to attract your next round of

808
00:44:06,800 --> 00:44:07,880
investors.
Yeah.

809
00:44:08,600 --> 00:44:12,640
So we would really love to get a
few more partners on board and

810
00:44:12,640 --> 00:44:15,720
we are in conversation with five
different potential partners or

811
00:44:15,720 --> 00:44:18,480
more.
So we are in the process of

812
00:44:18,480 --> 00:44:21,600
engaging these partners.
And once that is, they're sort

813
00:44:21,600 --> 00:44:25,280
of like B to B to C partners, B
to B partners who can really

814
00:44:25,280 --> 00:44:29,000
amplify our reach to the general
public and also to the

815
00:44:29,000 --> 00:44:32,960
professional professionals who
are connected to our product.

816
00:44:33,000 --> 00:44:38,520
So we are hoping to get those
partners on board and and start,

817
00:44:38,640 --> 00:44:42,360
you know go around with the next
funding which would be seed A.

818
00:44:42,400 --> 00:44:47,080
Seed all right, So still trying
to get the private investors to

819
00:44:47,080 --> 00:44:49,800
kind of jump on board and
partner with you now before you

820
00:44:49,800 --> 00:44:51,920
go into the next round of seed
fund.

821
00:44:51,920 --> 00:44:55,840
Is that, well, our priority
right now is Angel investors,

822
00:44:55,840 --> 00:45:00,880
individuals who are, you know,
they're passionate about this

823
00:45:00,880 --> 00:45:05,160
topic or any organizations that
are strategically connected to

824
00:45:05,160 --> 00:45:09,800
the value chain in this space.
And yeah, individuals, we're,

825
00:45:09,800 --> 00:45:13,280
we're not, we're not ready to
really crowdfund yet, but we

826
00:45:13,280 --> 00:45:16,160
will.
We're open to the different

827
00:45:16,160 --> 00:45:17,720
sources.
Yeah.

828
00:45:17,720 --> 00:45:20,680
No, I think there's a lot of
venture capital or investment

829
00:45:20,680 --> 00:45:23,720
venture, you know, investment
type companies that be very

830
00:45:23,720 --> 00:45:26,640
interested in this product and
learning more about it would be

831
00:45:26,640 --> 00:45:28,280
really great.
And maybe they can hear about it

832
00:45:28,280 --> 00:45:30,040
through this podcast, and
that'll be great.

833
00:45:30,640 --> 00:45:35,080
Well, take your call for sure.
Yeah, No, exactly.

834
00:45:35,080 --> 00:45:37,560
So I mean, there's a lot of VCs
out there that probably would

835
00:45:37,560 --> 00:45:40,840
say this sounds like a great
opportunity to help you help you

836
00:45:40,840 --> 00:45:43,160
guys.
You know, the biotech industry's

837
00:45:43,160 --> 00:45:45,240
huge.
I'm surprised they wouldn't be

838
00:45:45,240 --> 00:45:50,080
jumping on this to help support
the, you know, the, the medicine

839
00:45:50,080 --> 00:45:54,240
diagnosis of, you know, exposure
to their patients that come in.

840
00:45:54,560 --> 00:45:57,800
Yeah, I, you know, there's that
would be a huge one, I would

841
00:45:57,800 --> 00:46:00,240
think.
Absolutely.

842
00:46:00,280 --> 00:46:03,160
Talk a little bit about privacy
and ethics a little bit like

843
00:46:03,240 --> 00:46:06,640
environmental data can sometimes
impact property values and local

844
00:46:06,640 --> 00:46:08,920
reputations.
How do you balance the ethical

845
00:46:08,920 --> 00:46:12,760
responsibility of transparency
with potential sensitive

846
00:46:12,840 --> 00:46:16,200
sensitivities of the communities
that you map?

847
00:46:16,600 --> 00:46:19,600
Yeah, that's a really good
question and an important

848
00:46:19,600 --> 00:46:22,120
question, So thank you for
asking it.

849
00:46:22,160 --> 00:46:27,280
We do not share toxicant source
information like private company

850
00:46:27,280 --> 00:46:30,800
names or addresses.
We don't attribute pollution

851
00:46:30,800 --> 00:46:32,920
presence to anyone or any
entity.

852
00:46:32,920 --> 00:46:36,640
We just really focus on on
what's present.

853
00:46:36,680 --> 00:46:41,760
We don't other organizations are
focusing on that and our primary

854
00:46:41,760 --> 00:46:46,360
ethical commitment is around
data accuracy and accessibility.

855
00:46:47,000 --> 00:46:51,520
So we feel obligated to
represent the data that is

856
00:46:51,520 --> 00:46:55,800
available in the most rigorous,
you know, accurate manner.

857
00:46:56,160 --> 00:47:02,960
And it's possible that property
values could be disrupted or

858
00:47:03,040 --> 00:47:07,160
shift slightly as we become our
information is more widely

859
00:47:07,560 --> 00:47:09,880
spread out there.
It's not too unlike what's

860
00:47:09,880 --> 00:47:13,400
happening in climate risk.
I'm not sure if you're, you

861
00:47:13,400 --> 00:47:16,040
know, 1st St. let's just say
they have some really

862
00:47:16,040 --> 00:47:20,880
interesting predictive models
about heat and flood and wind

863
00:47:20,880 --> 00:47:25,560
risk around different locations
in the US And of course our

864
00:47:25,560 --> 00:47:28,760
coastlines are shifting.
So, you know, the properties and

865
00:47:28,760 --> 00:47:32,920
coastlines are definitely going
to be valued differently.

866
00:47:32,920 --> 00:47:35,400
And so there's a possibility
that that may happen.

867
00:47:35,760 --> 00:47:39,560
But our ethical commitment is
really towards information

868
00:47:39,560 --> 00:47:42,800
symmetry creating, you know,
making this information

869
00:47:42,800 --> 00:47:47,000
ubiquitously available to
people, businesses,

870
00:47:47,000 --> 00:47:51,400
organizations who are making
decisions that this to which

871
00:47:51,400 --> 00:47:54,480
this data would contribute.
No, that's really good.

872
00:47:54,520 --> 00:47:59,040
I mean, yeah, I can see it is a
can be a challenge, but I think

873
00:47:59,040 --> 00:48:02,840
the the good outweighs the bad
in these scenarios.

874
00:48:02,840 --> 00:48:06,080
People need to know that they
are have the potential exposure.

875
00:48:06,800 --> 00:48:09,440
They, a lot of people probably
have been living in the

876
00:48:09,440 --> 00:48:13,160
surrounding areas for decades
and don't even know that there's

877
00:48:13,320 --> 00:48:17,200
an issue or they're the, that
the property that's 2 miles from

878
00:48:17,200 --> 00:48:20,200
them or a mile from them.
And, and you know, all along it

879
00:48:20,200 --> 00:48:22,160
hasn't really affected their
property value anyways.

880
00:48:22,160 --> 00:48:23,520
So they're probably.
A.

881
00:48:24,200 --> 00:48:27,760
Big issue with it, but you know,
I think it's, it's a good, good

882
00:48:27,760 --> 00:48:30,600
question and, and I'm glad you
are concerned about it.

883
00:48:30,680 --> 00:48:33,520
When you look ahead, you know,
what's the future vision here?

884
00:48:33,520 --> 00:48:36,360
What, what you know, look, five
years from now, what do you

885
00:48:36,360 --> 00:48:39,000
think Toximax going to become?
You think it'll become a

886
00:48:39,000 --> 00:48:42,560
standard part of real estate
transactions or mandatory

887
00:48:42,560 --> 00:48:46,000
diagnostic tools in the medical
field or, you know, for primary

888
00:48:46,000 --> 00:48:47,280
care?
What do you, what do you, what

889
00:48:47,280 --> 00:48:50,800
do you see this going?
Yeah, that's a beautiful

890
00:48:50,800 --> 00:48:53,360
question, So thank you for that
one as well.

891
00:48:53,840 --> 00:48:57,760
Our vision is really to provide
the environmental intelligence

892
00:48:57,760 --> 00:49:02,680
infrastructure that can be used
across all industries wherever

893
00:49:02,680 --> 00:49:04,920
it's it's needed.
You know, that could be health

894
00:49:04,920 --> 00:49:08,720
insurance, could be risk
insurance, underwriting

895
00:49:08,720 --> 00:49:12,040
medicine, healthcare, real
estate.

896
00:49:12,680 --> 00:49:15,840
We're really democratizing
access to this information to

897
00:49:15,840 --> 00:49:18,480
the general population and and
across all industries.

898
00:49:18,480 --> 00:49:21,720
So we don't limit it just to
real estate or healthcare.

899
00:49:22,080 --> 00:49:25,680
It's data that's pertinent to
all kinds of business and

900
00:49:25,680 --> 00:49:27,840
municipal government decision
making.

901
00:49:27,840 --> 00:49:33,520
So we are providing that we have
the infrastructure that the data

902
00:49:33,520 --> 00:49:37,000
asset itself and we hope to make
it ubiquitous.

903
00:49:39,120 --> 00:49:42,600
That's pretty awesome.
You know, I think, I think you

904
00:49:42,600 --> 00:49:45,320
guys are on track the feature
wise.

905
00:49:45,320 --> 00:49:49,280
I think you've got so much in
the road map that you could

906
00:49:49,400 --> 00:49:52,160
deploy on, and I think that your
biggest challenge is going to be

907
00:49:52,320 --> 00:49:56,000
what do I prioritize?
Yeah, 100%.

908
00:49:56,000 --> 00:49:57,320
Yeah.
We talk about a lot of things.

909
00:49:57,320 --> 00:49:57,600
Really.
Yeah.

910
00:49:57,600 --> 00:50:01,520
Wouldn't it be great if you had
a Toximap app on your phone so

911
00:50:01,520 --> 00:50:04,400
that you got just like you get a
lightning, a lightning strike

912
00:50:04,400 --> 00:50:08,440
proximity alert, you're like,
hey, you're, you're within 1/4

913
00:50:08,440 --> 00:50:11,560
mile of a Superfund site.
Yeah, OK.

914
00:50:11,640 --> 00:50:15,400
That's good to know.
Another really interesting use

915
00:50:15,400 --> 00:50:18,520
case could be institutional
investors, you know,

916
00:50:18,520 --> 00:50:23,840
mortgage-backed securities and
even financial market data

917
00:50:23,840 --> 00:50:27,440
platforms, you know, having this
data feed, you know, as a

918
00:50:27,520 --> 00:50:30,040
decision part of their
regression models or whatever.

919
00:50:30,560 --> 00:50:35,400
The data are so pertinent to so
many levels of society and

920
00:50:35,400 --> 00:50:38,040
business.
So it's it's really exciting.

921
00:50:38,320 --> 00:50:39,400
No, no.
OK.

922
00:50:39,400 --> 00:50:42,920
So one thing we didn't cover
though was how much does it cost

923
00:50:42,920 --> 00:50:44,800
to be a user?
We got to go through there.

924
00:50:44,800 --> 00:50:47,120
I mean, we can't end the program
without that.

925
00:50:49,600 --> 00:50:54,840
So, yeah, yeah, sure.
We for right now the pricing

926
00:50:54,840 --> 00:50:59,320
model is very simple.
And for now the cert the to

927
00:50:59,320 --> 00:51:04,440
search 1 address is about 1999
and we have bundles for

928
00:51:04,440 --> 00:51:07,400
organizations or individuals
depending on what the purpose is

929
00:51:07,400 --> 00:51:10,640
to have higher volume searches
at a lower price.

930
00:51:10,960 --> 00:51:14,440
So it goes up.
And of course we'll we also have

931
00:51:14,840 --> 00:51:18,800
licensing kind of options as
well that will be individually

932
00:51:18,800 --> 00:51:21,000
priced according to the the
partnership.

933
00:51:21,520 --> 00:51:25,080
So that's the basic right now.
And yeah.

934
00:51:26,120 --> 00:51:30,600
Well, I think there's a few lab
contacts I want to connect you

935
00:51:30,600 --> 00:51:33,840
with that could be good for you
that, you know, you might be

936
00:51:33,840 --> 00:51:37,360
able to use them as plug
insurance at some point to offer

937
00:51:37,880 --> 00:51:39,520
the service.
I mean, unless you already have

938
00:51:39,520 --> 00:51:41,760
them, but there's some people
that are probably interested in

939
00:51:41,760 --> 00:51:43,920
that.
Yeah, environmental consultants,

940
00:51:43,920 --> 00:51:47,920
I mean, if there is a consulting
firm that feels they're going to

941
00:51:47,920 --> 00:51:51,880
use our data or platform to I
know with Peter, he, you know,

942
00:51:51,880 --> 00:51:56,680
using one address search on
Toxie map could save him 4 to 8

943
00:51:56,680 --> 00:51:59,240
hours and searching for that
data for a client.

944
00:51:59,240 --> 00:52:02,440
So you know, if there's a
consulting firm that needs, you

945
00:52:02,440 --> 00:52:06,560
know, just a lot high volume of
address searches for sure that

946
00:52:06,560 --> 00:52:10,440
could save them, you know, save
them a lot of money on their

947
00:52:10,440 --> 00:52:16,120
back on their PNL.
So we come up with deals that

948
00:52:16,120 --> 00:52:19,720
benefit everybody, right?
We want to help our B to B

949
00:52:19,720 --> 00:52:22,920
customers really benefit from
the product.

950
00:52:23,440 --> 00:52:26,360
Have you started to attend any
conferences, environmental

951
00:52:26,360 --> 00:52:28,880
conferences, to present this
product anywhere?

952
00:52:28,880 --> 00:52:32,040
Because that's where your
audience is going to be going

953
00:52:32,400 --> 00:52:35,560
for the most part to.
I mean, Peter, you know this as

954
00:52:35,560 --> 00:52:39,520
well as I do, but you know these
guys, they, they go to a lot of

955
00:52:39,520 --> 00:52:43,400
conferences, they listen and see
presentations.

956
00:52:44,320 --> 00:52:49,000
You know, the sale cycle of a
lot of this takes time, but you

957
00:52:49,040 --> 00:52:53,640
know that could be a really good
venue for you expanding into the

958
00:52:53,640 --> 00:52:57,040
environmental market.
Yeah, it's on the, it's in the

959
00:52:57,040 --> 00:52:58,960
plans as well as healthcare
conferences.

960
00:53:00,440 --> 00:53:01,440
Yeah.
So you're right.

961
00:53:01,440 --> 00:53:04,640
So I know there's, you know,
there's an annual brownfields

962
00:53:04,640 --> 00:53:09,920
conference that we were looking
at going to, you know, this sort

963
00:53:09,920 --> 00:53:14,280
of functional functional
medicine and, and other unique

964
00:53:14,280 --> 00:53:18,840
ways of of sort of holistically
addressing health issues.

965
00:53:19,040 --> 00:53:20,760
There's some great conferences
about that.

966
00:53:20,760 --> 00:53:24,440
Of course, we hear it in the
news about people thinking about

967
00:53:24,520 --> 00:53:26,960
PFAS, if you think about
healthiness, all sorts of

968
00:53:26,960 --> 00:53:30,400
things, right.
So I think the sort of ground

969
00:53:30,400 --> 00:53:35,000
level consciousness of these
things is really is rising and

970
00:53:35,320 --> 00:53:38,400
we're here for it.
Well, this is great.

971
00:53:38,440 --> 00:53:41,480
You know, Deb, Peter, thanks for
coming on to the show.

972
00:53:41,480 --> 00:53:44,040
We really appreciate your time
today.

973
00:53:44,040 --> 00:53:49,400
And, and I like what you guys
are doing with Toxie Map and you

974
00:53:49,400 --> 00:53:52,600
know, hopefully the listeners
will dive into this and and take

975
00:53:52,600 --> 00:53:57,360
a look at the the application.
We welcome your or any of their

976
00:53:57,360 --> 00:53:59,200
feedback.
If any of your listeners want to

977
00:53:59,200 --> 00:54:03,280
test it out and ask, ask
questions or share ideas and

978
00:54:03,280 --> 00:54:07,080
feedback, they find some bugs.
We welcome it all. 100%, yeah,

979
00:54:08,200 --> 00:54:10,200
yeah, absolutely.
Well, that.

980
00:54:10,400 --> 00:54:12,200
That's great.
Yeah.

981
00:54:12,440 --> 00:54:15,560
Well, yeah, I mean it does.
It takes, it takes a lot to go

982
00:54:15,560 --> 00:54:19,880
through and identify, you know,
workflows and user experience

983
00:54:19,880 --> 00:54:21,680
and you know, all that good
stuff.

984
00:54:21,720 --> 00:54:23,160
So.
Yeah, we have an exciting

985
00:54:23,160 --> 00:54:26,760
version 3 coming out in the next
few weeks, which is really,

986
00:54:26,760 --> 00:54:33,000
we're adding landfills where
we're making the UUX way simpler

987
00:54:33,000 --> 00:54:36,000
and you basically get a whole
dashboard on one screen instead

988
00:54:36,000 --> 00:54:37,520
of having to click back and
forth.

989
00:54:37,520 --> 00:54:41,480
That has a lot of very exciting
to us features.

990
00:54:41,480 --> 00:54:43,120
So we'll let you know when that
comes out.

991
00:54:44,040 --> 00:54:47,480
Please do and, and maybe tag me
when you hit a release and we'll

992
00:54:47,480 --> 00:54:50,120
push it out to to our audience
as well.

993
00:54:50,120 --> 00:54:53,800
But you know, this is great.
I, I wish you guys the best of

994
00:54:53,800 --> 00:54:56,320
luck on this.
And you guys are got something

995
00:54:56,440 --> 00:54:59,320
here that I don't know.
I haven't come across another

996
00:54:59,320 --> 00:55:02,160
product like it yet.
So, and I've been seeing, I see

997
00:55:02,160 --> 00:55:06,000
a lot of technology, you know,
and tools and, but this is a

998
00:55:06,000 --> 00:55:09,440
good one that caught my eye and,
and thanks for meeting with me

999
00:55:09,440 --> 00:55:11,400
today.
Thank you and thank you for your

1000
00:55:11,400 --> 00:55:13,200
great work with this podcast.
It's a great.

1001
00:55:13,280 --> 00:55:13,840
Thanks so much.
Yeah.

1002
00:55:14,600 --> 00:55:16,600
Well, thank you very much, Dad.
Appreciate that.

1003
00:55:16,600 --> 00:55:18,720
OK, we'll talk to you guys soon.
Thank you.

1004
00:55:18,720 --> 00:55:20,560
All right.
Thanks for listening and

1005
00:55:20,560 --> 00:55:22,880
watching the show.
If you enjoyed the show then

1006
00:55:22,880 --> 00:55:25,560
please share it with your
friends and coworkers on social

1007
00:55:25,560 --> 00:55:27,720
media and tell somebody in
person.

1008
00:55:28,240 --> 00:55:30,080
Thanks for being with us, ET
Nation.