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La causa número uno de muerte en Colombia y en el mundo es el infarto. Por eso, un equipo de emprendedores colombianos creó varios algoritmos con cuatro millones de historias clínicas de pacientes locales, 30 años de registros de pacientes que hace igual número de años estaban sanos, luego les dio prediabetes, pasaron a diabetes, siguió la hipertensión, llegaron a una enfermedad renal y tuvieron un infarto. Con toda esa información nació Corpus IA, la compañía capaz de construir todas esas trayectorias médicas y, de esa forma, predecir quiénes, dentro de los que están ya enfermos, tienen una mayor probabilidad de sufrir un accidente cerebrovascular, o que su enfermedad renal progrese y termine en una diálisis. Ya han conseguido USD 1.2 millones de inversionistas ángeles y fondos de inversión, con lo que buscan salvar vidas no solo en el país sino en toda la comunidad latina en el mundo. Esta es su historia, contada por su CEO, Juan Felipe Forero, para Emprendimiento y Liderazgo de El Espectador.

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00:00We have a guest who knows about finance, understood an opportunity in the market, and today they are growing.
00:06with his entrepreneurial spirit.
00:07That's what the story of entrepreneurship and leadership at El Espectador is all about.
00:18Juan Felipe Forero.
00:20Edwin, nice to meet you.
00:21What's up, Juan?
00:21How's everything going?
00:22Good or not?
00:23Good.
00:23Well, I'm going to read it because I don't want to say it wrong.
00:26Corpus AI, as artificial intelligence.
00:29That's how it is.
00:29This is the head of Corpus.
00:31What is Corpus AI?
00:32Corpus AI is a company that focuses on two main things.
00:37First, to be the primary care layer for Latinos around the world.
00:41And secondly, it is a company that is dedicated to the management of risk for chronic patients.
00:46What we do is, through a lot of technology and rigorous medical practice,
00:52We make predictions of acute outcomes in chronically ill patients.
00:55What does that mean?
00:56We take a patient's medical history, run it through our algorithms, and what
01:01What we do is predict who among those who are sick has a higher probability
01:06for example, having a heart attack or stroke, or that their illness
01:11If renal failure progresses and the patient ends up on dialysis, we create a prediction of the most optimal care pathway for that patient.
01:18patient
01:18to reduce your risk in the most efficient way.
01:22That's what Corpus EI does.
01:23Well, that sounded a bit technical, don't deny that answer.
01:28Now, if you were facing an audience that is not technical, that perhaps is not so old and so...
01:34knowledge,
01:35but rather it's a group at school and they're trying to find out what you do,
01:41What would I say to them?
01:41In simpler terms, what problems do you manage to solve?
01:45What do startups ultimately do?
01:47The number one cause of death in Colombia and in the world is heart attack.
01:53It is the leading cause of death in the world today.
01:57It also brings a tremendous social and economic burden to the system.
02:02And what we do is try to predict who will have a heart attack in the next 3, 6, or 12 years.
02:08months
02:08and avoid it in the best possible way.
02:11So, we give it to a group, let's say, of people who are, I don't know, diabetic or hypertensive,
02:18We can review their medical records and say, listen, we have to attend to Juan Felipe first,
02:22because Juan Felipe has an 80% risk of having a heart attack in 3 months.
02:26And he has it because his cholesterol is at this level, because his blood sugar level is this
02:32and any number, let's say, of reasons that might involve that risk.
02:36And therefore, by providing that explanation, we can tell you what Juan Felipe needs.
02:41so that your risk is not 80, but drops to 30 or 20.
02:45No, he needs this type of medication.
02:48He needs this non-pharmacological treatment, that is, exercise and this diet.
02:53But it's made in a personalized way for Juan Felipe
02:57And not what we've always been told: we all have to quit smoking, quit drinking, exercise
03:02and eat well.
03:04Yes, the generalities they always talk about.
03:06Exactly, they are clearly important, but the risk faced by 32-year-old Juan Felipe is not the same.
03:12because he has a sedentary life, smokes, or whatever.
03:15to what a person who is, I don't know, 65, and has been diabetic for 10 years, might have,
03:21He was diagnosed with hypertension 5 years ago and now has kidney damage.
03:24Of course, I understand now, and it's much clearer for us.
03:27Now let's get to the story because what we do here is tell stories.
03:30And how did it all begin? How did it start? Why did they take the initiative?
03:33You were telling me before this interview,
03:36I worked in companies, let's say, from the last decade, 15 years,
03:39that have been important.
03:41One of them is Rapid, another is Copper, which we have also referenced,
03:44We interviewed them here quite a while ago.
03:47And where did the idea come from? Why get involved in that?
03:49You're also a financier, aren't you?
03:51Yes, I started my professional life somewhat in the more traditional areas of finance.
03:56Or, well, the financial career we all want is investment banking, right?
04:00Yes, I mean, he graduated and went to work in investment banking.
04:03I graduated and went to work in investment banking.
04:04In fact, I was working there as an intern even before I graduated.
04:08Where was he?
04:09In Axia, it's called Axia, a large investment bank.
04:13But beyond that, let's say, very quickly,
04:16I had an entrepreneurial streak in me.
04:20I ended up working at Rappi; I was there for three years.
04:23I led the financial planning team,
04:26I had great experiences at Rappi
04:28And once you join a company like this,
04:30I think there's no going back.
04:32And I tried.
04:33I was talking about it with someone yesterday, and it's true that sometimes you even
04:36He even tries to get out of this,
04:39But I got bored very quickly.
04:42In other words, go and look for a traditional job.
04:44Yes, let's say, exactly.
04:46To be in something, let's call it a little more relaxed, right?
04:48What some would say about work-life balance.
04:52But that's what I really believe,
04:55That, let's say, story of entrepreneurship and drive and such,
04:58It got mixed up with something, well, the truth is,
05:00very personal to us in our family
05:02And both my parents have high blood pressure.
05:05It's been several years now and both have had sharp outcomes.
05:09And what does that mean?
05:10My mom had a stroke,
05:12She works in Santa Fe and very quickly...
05:14A cardiovascular accident.
05:16Cerebrovascular.
05:17Cerebrovascular, sorry.
05:18It's like a stroke, so to speak.
05:22And she works in Santa Fe,
05:23Thank God they caught him very quickly.
05:24She realized on her own that she was having these symptoms
05:27and went, let's say, to the emergency room
05:29And there they treated her very well.
05:32Nothing serious happened and thank God everything was alright.
05:35And my dad had,
05:36Well, he's had two heart attacks and also a stroke.
05:39And that story is a bit like one of those that was almost made to order.
05:43My dad, I remember him very well,
05:45I was arriving at school,
05:46I turned 18 that day,
05:49I just had a whisky with my friends at home
05:52And they call me to say my dad is in the hospital.
05:55I don't even remember who called me,
05:56if my mom or my brother,
05:58from an older brother.
06:00And that ended up being a little bit like my 18th birthday.
06:04At that time, let's say,
06:05I was really looking forward to that birthday,
06:06I really liked the party, too.
06:08I was eagerly awaiting that day.
06:11And I think that kind of thing,
06:13when combined with a slightly entrepreneurial drive,
06:18They end up arriving as something like this.
06:20There you talk about two points that were far away
06:23and that they ended up getting together.
06:24What I had already experienced after having worked
06:26in investment banking and understand the entrepreneurial world
06:29from Rappi,
06:30Well, we all know that Rappi
06:32A lot of new businesses have emerged,
06:34all of them large-scale.
06:36And the other one,
06:37the pair of background checks at their home,
06:40which one of them had when he turned 18,
06:42But today he's in his thirties,
06:44thirty-two.
06:44Thirty-two, that's right.
06:45How long ago was the company founded?
06:47The company was founded a little over a year ago.
06:50Ready.
06:50A year and a half ago.
06:51And how then did he put those two pieces of information together?
06:54the entrepreneurial spirit and what had happened to him
06:56to his two relatives to get started,
06:59along with the other co-founders,
07:01This company.
07:02When you look at history,
07:03All my partners are practically identical.
07:05Did it happen to them too?
07:06Very similar things have happened to them.
07:08For example,
07:09Santiago,
07:09who is our partner lawyer,
07:11He had to watch his grandfather die.
07:14They were both alone together, too.
07:15and his grandfather collapses and dies of a heart attack.
07:18His father also had a heart attack very young.
07:21And so, let's say,
07:22We all have these kinds of stories.
07:24And when we get together to put something together,
07:27We kind of saw that it was a little bit this way.
07:30Our medical partner,
07:31His name is Juan Esteban,
07:33His father also had a heart attack
07:36And he, in fact,
07:37even before being in Corpus,
07:39He was working on a project
07:41whose name is Rafael,
07:42which is a heart failure project
07:43for nine countries of the European Union.
07:45I mean,
07:46He also had this kind of streak
07:48We have to do something with our hearts.
07:50This cannot continue.
07:51It is the number one cause of death in the world.
07:53It makes no sense that such a well-known disease
07:55continue to be,
07:57let's say,
07:57having that social and economic impact.
08:00Yeah.
08:01And the same,
08:02It's like putting all these stories together,
08:04We'll end here.
08:06And well,
08:07That's what brought us here.
08:09And there,
08:10Juan Felipe,
08:11I want you to tell me a little bit.
08:11They sat down one day,
08:13They all agreed and said,
08:14Why don't we set something up?
08:15Thinking also,
08:16No?
08:16Obviously,
08:17the development of artificial intelligence,
08:19all historical data,
08:21Well,
08:21to know what is the number one cause of death in the world
08:24And what did they do?
08:25how it all started.
08:27That's a somewhat funny story.
08:29Santiago and I had always wanted
08:30to do something together,
08:31let's say,
08:31He and I worked together in copper.
08:34He was in copper for about four years,
08:35a little more suddenly.
08:39But we had never found
08:40like what I put together a little bit
08:42like that passion,
08:44No?
08:44As a purpose.
08:45As a grand purpose,
08:47save lives.
08:48We are also Catholics
08:49And that really moved us.
08:51So,
08:51It's like we hadn't found that.
08:53And one day, while talking,
08:54told me,
08:55Listen,
08:56I spoke with my father-in-law,
08:57my father-in-law is a radiologist,
08:59And he tells me,
09:00I have been introduced
09:01ten thousand solutions
09:03for resonance topics
09:05chest x-ray
09:06and read,
09:08let's say,
09:08diagnostic imaging with it.
09:10And we sat down with him one day
09:12like to grow a strong head.
09:15We were there for about three or four hours
09:16at home,
09:17eating,
09:18talking,
09:19and we ended up arriving
09:21that perhaps
09:21that side of the images,
09:23although there is very solid technology
09:25who can achieve it,
09:26It wasn't ours.
09:27It wasn't ours
09:28because in Colombia
09:29and in Latin America
09:30We have a different problem.
09:32And we need to know
09:33who to take
09:34to that exam,
09:35because as
09:36have a chest MRI,
09:38For example,
09:38Is this expensive,
09:39Well, not everyone
09:40A chest MRI is performed
09:41to find out what they have
09:42the lung,
09:43For example.
09:44So,
09:45what we need
09:45is being able to be
09:46a step backwards.
09:48And that's how we arrived
09:49because all diabetics
09:50and all those with high blood pressure
09:53they constantly
09:53contact with doctors,
09:54they constantly
09:56blood laboratories
09:57and Olina,
09:57For example,
09:58that are things
09:58that we use
09:59and we needed
10:00that type of data
10:01more basic.
10:02And that's how we went
10:03as molding
10:04a little bit of the company
10:05And that's how we got to this.
10:07They build a company
10:08of zeros,
10:09They start from scratch,
10:11But who put
10:11the initial capital?
10:12Because sometimes
10:13It's very, let's say,
10:15Easy to say,
10:16No,
10:16we achieved
10:17family and friends
10:18or friends and family.
10:19The family
10:19and friends
10:20that they lent,
10:20Others say,
10:21No,
10:21It was my own savings,
10:22But there are people
10:23that comes out with a PowerPoint
10:24in Silicon Valley
10:25and earns millions
10:26of dollars.
10:27How did it start?
10:27The funding?
10:28It's a combination
10:29of several things.
10:31I remember it very well.
10:32that the first person,
10:35let's say,
10:35who wrote us a check
10:36He was a great friend of mine
10:38with whom I worked
10:38I've been at Rappi for a long time.
10:39His name is Joaquín.
10:41And talking to him,
10:42He has already had
10:43a couple of ventures
10:44to those who haven't gone
10:45so well,
10:45others that did.
10:47And like,
10:48I think it's over
10:49to give it to me personally
10:51like that final push
10:52and also,
10:53well,
10:53with a check.
10:54Bye,
10:54You told him.
10:56I told him
10:57a little like,
10:58Listen,
10:58I need your advice,
10:59What do you think?
11:02He also gave us
11:03the first check,
11:04That was very exciting.
11:05then.
11:08And so we began,
11:09let's say,
11:09to talk to everyone
11:10people
11:10with which we have
11:11worked
11:11in the different places.
11:14I worked,
11:14I called until
11:15my first boss,
11:16well,
11:16from Axia,
11:17until the very last
11:18that I had,
11:19well,
11:19and to everyone
11:21We asked him for money,
11:22to everyone
11:22We asked him for advice.
11:24That was like
11:25the first,
11:26the first group
11:27of investors.
11:28They ended up going in
11:29nearly,
11:30If I'm not mistaken,
11:3134 angels
11:33investors
11:35from all sides,
11:36from Rappi,
11:37copper,
11:37from a more traditional sector,
11:40doctors,
11:40of all kinds.
11:42Then he went in
11:43in December
11:44Magma Partners,
11:45which is a fund
11:45that has a base
11:47in Mexico
11:47and in Chile.
11:48Gran fondo,
11:49They believed in us
11:50from,
11:50well,
11:51without having
11:51practically nothing.
11:52How much did they give them?
11:53They put us
11:54$200,000
11:55They closed like that round
11:56of angels.
11:57And then in February,
11:59ending February,
12:00Amador Holdings entered,
12:01which is a Panamanian fund
12:04And that has been
12:05a bit
12:05our story
12:06anchorage.
12:07And how much did he come in with?
12:08With $500,000.
12:09Ready,
12:09I mean,
12:09have been anchored
12:10with 700.
12:111.2.
12:12Ah, 1.2.
12:12Yeah,
12:13among angels,
12:14exact.
12:14Clear,
12:141.2 in one year.
12:16In one year.
12:17Well,
12:18They've done very well,
12:18No?
12:19They've done very well.
12:20I hope that when it comes out
12:21This interview
12:22be a little bigger,
12:23But I can't say more yet.
12:24So be it.
12:25No?
12:25So be it.
12:26But that means
12:26which is already underway.
12:28Tell us today
12:28what they are solving.
12:30He already told us a little bit
12:31how it started,
12:32Where did the idea come from?
12:33how the partners met
12:35and now
12:35what they are solving today.
12:37There is an issue
12:38that we too
12:39a bit
12:40It blew our minds
12:41with cardiovascular disease.
12:44In Colombia
12:44is validated
12:45one thing
12:46which is called Framingham,
12:47which is a scale.
12:49Framinga?
12:50Framingham.
12:51Framingham.
12:52Yeah,
12:52It's the surname
12:53of a man
12:53that in 1946
12:55it was invented
12:56this scale
12:56that does
12:57is to do
12:58a prediction
12:59cardiovascular risk,
13:01but it has two components
13:02important.
13:03The first
13:03It's a scale
13:05that was done
13:05with population
13:06foreign,
13:07let's say,
13:07Latin style.
13:08Yeah.
13:09It was validated afterwards
13:10in Colombia,
13:11but it has to,
13:12to give you an idea,
13:13when someone
13:14Framingham Run
13:15in Colombia
13:15then it multiplies it,
13:16I think, if I'm not mistaken,
13:17by 0.67
13:18to adjust
13:19the risk
13:19Colombian style.
13:20Because?
13:20Because that's what
13:21adjust the line
13:22as best as possible.
13:24But beyond that,
13:25It's a screening
13:27risk
13:2710 years.
13:29So,
13:29If I take,
13:30I don't know,
13:30a group
13:30of 100,000 people
13:3160 years old
13:32And I'll tell you this,
13:34everyone will have
13:35a relative risk
13:36at 70
13:36of cardiovascular disease.
13:38Clear.
13:39Therefore,
13:40knowing who to attend to
13:41first,
13:41second and third
13:42with a capacity
13:43limited care,
13:45like we have in Colombia
13:46and throughout Latin America,
13:47It's very complex.
13:48Another thing
13:49that blew our minds,
13:521.6%
13:53of the populations
13:55from medical studies
13:58It is a Latin population.
13:59Just 1.6%.
14:01It's very little.
14:02the representation
14:03in medical research
14:05of the Latin population
14:06It is scarce.
14:09We created
14:10these algorithms
14:11with 4 million
14:12of medical records
14:13Colombian women.
14:1430 years of history,
14:15I mean,
14:15longitudinal data.
14:17We are 30 years old
14:17of history
14:18where I have patients
14:19that 30 years ago
14:20They were healthy,
14:21then he gave them
14:22prediabetes,
14:23then they developed diabetes,
14:24after hypertension,
14:25later kidney patients
14:26and then they had a heart attack.
14:27So,
14:27I can build
14:28all those trajectories
14:29It's something that before
14:30We simply couldn't do it.
14:33And that's what already
14:34They are doing today.
14:35That's what
14:36we managed to do
14:36throughout the past year,
14:38create
14:38that base
14:40of knowledge
14:41which allows us
14:42conduct research
14:44real
14:44with Colombian data.
14:46How does it work?
14:46the business model?
14:48Who are your customers?
14:49Who buys from them?
14:50How did they validate the idea?
14:51and how do they make it
14:52Is it sustainable over time?
14:54Today our customers,
14:56let's say,
14:56the Colombian model
14:56It's a little bit done
14:57for a company
14:58like us.
14:59It is an insurance model
15:00where the entire system
15:02is economically aligned
15:04to the extent that
15:05in which people
15:06get sick less often,
15:07there are fewer accidents
15:09in the EPS
15:09and therefore,
15:10well,
15:11They are more profitable.
15:12And today,
15:12let's say,
15:12with all the discussion
15:14of sufficiency
15:15from the OPC,
15:15well,
15:15a company
15:16with our help
15:16a lot.
15:18So,
15:19our clients,
15:19well,
15:20naturally it is
15:20the payer
15:21health.
15:22In the Colombian case,
15:23the EPS,
15:24also insurance
15:25private,
15:26let's say,
15:26insurance policies
15:27or prepaid ones,
15:29complementary plans,
15:31all of those are
15:32our clients
15:32nowadays.
15:33Okay,
15:33And I imagine,
15:35he,
15:36he,
15:36he,
15:37That's what they would call it.
15:37one a business
15:38to business,
15:39I guess so,
15:40but he,
15:41the business
15:42to the consumer.
15:43I mean,
15:43I'm coming,
15:44I'm from Colsanitas,
15:45For example,
15:45and in Colsanitas
15:46They offer me that service.
15:47They tell me,
15:47Hey Edwin,
15:48Now we have,
15:48or inside its package,
15:50This one has it.
15:51Nowadays,
15:52Today, Edwin,
15:53There is no product
15:55at this B2C moment,
15:58Yes, I can tell you
15:59that we are cooking
16:00something very interesting
16:01which I believe,
16:01that is worthwhile
16:03tell it
16:04and it is,
16:05a large part of our dreams
16:06power to empower
16:08a little bit to the people
16:08What does it have,
16:10Yeah?
16:10Today is very difficult,
16:11when,
16:12when one speaks
16:12with a person
16:13who is diabetic,
16:14doesn't understand well
16:15What does it have,
16:16doesn't understand well
16:16because that can end
16:18in a heart attack.
16:19Clear.
16:20I mean,
16:20They had been talking to him
16:21that he has to eat well,
16:22about what...
16:23Yeah,
16:23He knows about the sugar issue,
16:24But understand the afterlife.
16:26How does that translate?
16:27after he ends up having a heart attack.
16:30And I believe that's the only way
16:31to really make an impact there
16:33is having also
16:35a B2C product.
16:36Yeah,
16:36that comes to him from the business
16:38to all of us,
16:39to all of us who are watching
16:40to the traditional consumer.
16:41But nowadays,
16:42nowadays,
16:43let's say,
16:43the end consumer
16:44He doesn't realize
16:45who had corpus,
16:47simply receive
16:48probably a call
16:49of your VPS
16:50where they tell him
16:51Listen,
16:51You entered a program
16:53cardiovascular specialist
16:55because it carries a risk,
16:56let's say,
16:57high
16:58of certain acute outcomes.
17:00The program consists of
17:02that you come
17:02to a date here
17:03and we take care of it
17:04with attention cycles
17:06that they have
17:06two very important things.
17:08The first
17:09It's a tremendous...
17:13How to put it,
17:14as a commitment,
17:15a tremendous commitment
17:16of the care team,
17:17from the doctors,
17:18nurses,
17:19nurses
17:20and the whole team,
17:21let's say,
17:21of benefit
17:22of the EPS.
17:23That's for us.
17:24obviously it is
17:25absolutely relevant.
17:27You spoke
17:27from a lawyer,
17:29He spoke of a doctor.
17:30and you are a financier.
17:32How many are there?
17:32The co-founders?
17:33There are four of us.
17:34And who is the other one?
17:35The other one is the engineer
17:36of data,
17:36He is a psychologist.
17:37professional
17:38And I don't know.
17:39if people believe me
17:40When I say this
17:40but it is probably
17:41one of the minds
17:41brighter
17:42in Machine Learning
17:43and AI that there is
17:44in Latin America.
17:45Well,
17:45then we already named them
17:46because of their professions,
17:47Now tell me the names,
17:48Who are they?
17:49Santiago Peláez
17:50He's the lawyer,
17:52Juan Esteban Correa
17:53He is the doctor
17:53and José Amorocho
17:54He is the data engineer.
17:56He told me
17:56how some got started
17:58but the four
17:59They had similarities
18:00to get on
18:00in the four
18:01in co-founding
18:02that company.
18:03Yeah,
18:04Santiago,
18:05Juan Esteban
18:05and I are friends
18:06many years ago,
18:07Juan Esteban
18:08and Santiago
18:08They studied at the school
18:09together,
18:09They are from San Carlos,
18:11I know them
18:12to the two of them
18:12for example
18:13this whole topic
18:14we are very Catholic
18:15and we are in a
18:16Catholic movement
18:17Let's say together
18:19and we know each other
18:20I don't know,
18:2015 years ago
18:24and Joseph
18:25He's a cousin
18:25by Juan Esteban
18:27and a little bit
18:28that story
18:28It's funny
18:29because
18:30Juan Esteban
18:30joined the team
18:31was the third
18:32before Joseph entered
18:34and he joins the team
18:36when we were going to talk
18:37with Henry Gallardo
18:38Dr. Henry Gallardo
18:39He is the director
18:39of the Holy Faith
18:41we were going to talk
18:41with the
18:42We wanted your feedback
18:44Of course
18:45the highest
18:46at a professional level
18:47that could help them
18:48on the way
18:48to undertake
18:49from the medical side
18:50definitely
18:51and yesterday or the day before yesterday
18:52left
18:53the ranking
18:53of hospitals
18:55and they are third parties
18:55in Latin America
18:56In other words, they are a benchmark.
18:57definitely
18:57in health
18:58throughout the world
19:00then we were going to talk
19:01with the
19:01and 5 or 10 minutes
19:03we realized earlier
19:04that we were going to talk
19:05with a doctor
19:06neither
19:07He is a doctor.
19:09And we said
19:10we don't need
19:11We need a doctor.
19:12so
19:13We called our doctor friend
19:15more than our partner
19:16then
19:17we told him
19:18Hey, we need
19:18that enters this call
19:19say I am
19:20Juan Esteban
19:21doctor
19:22and in the end
19:23of the so-called
19:24talk later
19:24We'll see what we can do.
19:25And so it was
19:26We called Henry
19:27we had a
19:28great call with him
19:29He also gave us
19:30a lot of drive
19:30then
19:33But beyond that
19:34then when we hung up
19:35and we spoke with Juan Esteban
19:36It tells us how
19:37come on
19:37What are they doing?
19:38clear
19:39I wanted to understand
19:40I wanted to understand
19:41a little better
19:41and right there
19:42let's say
19:44And that's where it came in.
19:45the other co-founder
19:46that's where it went in
19:46the other co-founder
19:47And then he told us
19:48also as
19:48And I have the rooster.
19:50which can lead us
19:50at this other level
19:51And that's José.
19:51well then
19:52there, let's say
19:53touches on another point
19:54which seems to me
19:55which is a hinge
19:55and it is
19:56one would say
19:57Well
19:57they concentrated
19:58They found a problem
19:59they saw a path
20:01to find the solution
20:02which is ultimately
20:02the entrepreneurship model
20:04by opportunity
20:04and not out of necessity
20:05and ultimately
20:08who endorses them
20:08because one would say
20:09They are discussing medical matters.
20:11They are entering
20:12to one's own history
20:13of each person
20:13which is a
20:14Let's say a jewel
20:15staff
20:16and it is
20:17who has helped them
20:18to endorse all this
20:20Who are the doctors?
20:21who have been behind
20:22beyond one
20:23the co-founders
20:24that they tell them
20:25They're on the right track
20:26They have our
20:27check
20:29confirming
20:29that they are doing well
20:30and above all
20:31They're going to solve a problem.
20:32hanging that
20:33call with Henry
20:34We also realized
20:35about something very important
20:36what did we do
20:37and it is
20:37we need
20:39a medical board
20:40We thought so at first
20:42like a medical board
20:42It ended up being an advisory board
20:44with doctors
20:46and with
20:46let's say
20:47further
20:47more people there
20:48both sides
20:49of entrepreneurship
20:50as
20:50a little bit of everything
20:51for
20:52so that they would help us
20:53lot
20:54how to have that guide
20:55And what is the right thing to do?
20:56in everything
20:57today at that advisory board
20:59doctors
20:59let's say
21:00are
21:00Dr. Augusto Galán
21:02former health minister
21:03the public health vision
21:05it was fundamental
21:06for us
21:06the second
21:07It is Dr. Guillermo Ortiz
21:09which is probably
21:09one of the researchers
21:11most important
21:11from Colombia today
21:12in medicine
21:13and the third
21:14It's Dr. Henry Gallardo
21:16of the Holy Faith
21:18exact
21:18which also
21:19Well, he's a role model.
21:19in research
21:20as an institution
21:21Holy Faith
21:23so
21:24those
21:25those three
21:26let's say
21:26They are like the
21:27doctors
21:28that have
21:29done as
21:30be very demanding
21:32with that path
21:33investigative
21:34that we need to have
21:36We also have
21:36people for example
21:37of the pharmaceutical industry
21:38Eduardo Leiva is there
21:39which was
21:39he
21:41GM of
21:42Latin America
21:43for AVI
21:44the pharmaceutical company
21:46and so let's say
21:47like what
21:47we have had
21:48like the highest
21:49standards
21:50review
21:52of what we do
21:53If I were to ask him
21:54to Juan
21:54and it would be his turn
21:56face
21:56suddenly
21:57not even
21:57to a pool
21:58of investors
21:58because they
21:59They notice a lot
22:00in the KPI
22:00And you in that
22:01it's good
22:01the man
22:02of the numbers
22:02but in
22:03in a number
22:04maybe
22:06more humanized
22:07and it is
22:08that they have achieved
22:09since they started
22:10with Corpus AI
22:11that have prevented
22:13that they have achieved
22:14that in people
22:15which probably
22:16has delivered
22:17the information
22:18of their stories
22:18clinics
22:19you can say
22:20Look, Edwin
22:21And look at the audience
22:22of the viewer
22:22entrepreneurship
22:23and leadership
22:23of the viewer
22:24This is what
22:25nowadays
22:25Corpus AI
22:26has achieved
22:27Thanks for all the data
22:28and to the algorithms
22:29that we developed
22:30super
22:31We have been operating
22:33let's say we launch
22:34the product in January
22:35but really
22:36the benefit
22:37I mean
22:38with the teams
22:38attention
22:39in health
22:39It started more or less
22:41in March
22:42ending of February
22:43In fact
22:44and in these
22:45first five months
22:46Let's say without counting
22:47August
22:49we have achieved
22:50contain
22:51467 heart attacks
22:53That's a calculation.
22:54statistical
22:55What does that mean?
22:57that the population
22:58that we attend
22:59and we prioritize
23:01against which no
23:02we attend
23:02and we don't prioritize
23:03makes there
23:04a differential
23:05in heart attacks
23:06that have been
23:06in what yes
23:07we prioritize
23:09that there had been
23:10467 more heart attacks
23:12of those that have been
23:13this year
23:13That obviously
23:15Let's say two things
23:16important
23:16first is a result
23:18preliminary
23:18in the sense
23:19that we carry
23:19mid-year
23:20operating
23:21and things like that
23:22It's good to measure them
23:23at 12 months
23:25then we wait
23:25also that it is
23:26much more
23:27and the second
23:28is
23:29increasingly
23:31Let's say the evidence
23:32in medicine
23:32it is happening
23:33if there is a lot
23:34retrospective
23:35that is to say
23:36with the studies
23:36historical
23:37and all this
23:37information that I had
23:38but also
23:39There is a lot
23:40prospective
23:40and it is perhaps
23:41the most relevant
23:42for the community
23:43scientific
23:44so
23:45This will continue
23:46developing
23:47a lot of evidence
23:48forwards
23:49I mean
23:49the world
23:50of the probabilities
23:51It's a world
23:51statistical
23:52It's a world
23:53statistical
23:53the world
23:53of the probabilities
23:54Well
23:54It's time
23:55of the pitch
23:55where we do
23:56questions
23:57out of the box
23:58trying to find
23:59answers
24:00out of the box
24:01So here we go
24:01with the pitch
24:08Juan Felipe
24:09if you could
24:10change a rule
24:11of business
24:12the one who was
24:12was in power
24:14yours to change it
24:15What would it be?
24:15And why?
24:17I think that
24:18There should be a rule.
24:19in business
24:19where always
24:21let's say
24:22there is a benefit
24:23for the parties
24:23involved
24:24And that should be
24:25an unspoken rule
24:26for everyone
24:27It's not so clear to me.
24:29I wouldn't believe it
24:30that in the negotiations
24:31That's why it's called
24:32negotiation
24:32because you win
24:33and I win
24:34Why does he say that?
24:35because I believe that
24:36There are many businesses
24:37and many incentives
24:40perverse
24:40in many businesses
24:41including health
24:42let's say
24:44For example
24:44the payments
24:45by events
24:46in the country
24:47and in general
24:48in the world
24:48because they make it so
24:50is not so aligned
24:51the intention
24:52that someone
24:52be healthy
24:53with there is no
24:53an event
24:54because if, for example,
24:55the doctors
24:56They earn per event
24:57and everyone
24:57wins per event
24:58well let's say
24:59like what
24:59there might be
25:00a misalignment
25:01of interests
25:02I understand now
25:03to make a real prevention
25:04Let's say in medicine
25:05I understand now
25:06In other words, it's an incentive.
25:06perverse
25:07It's a perverse incentive.
25:08Let's just say it's poorly planned
25:09and it's not my fault
25:10nor from the doctors
25:11nor of not
25:12It's a little bit of fault
25:12like what
25:13the model
25:13of inertia
25:14Let's call it that
25:15Yeah, sure.
25:16if I attend to more people
25:17Well, obviously
25:18I earn more money
25:19I understand now.
25:20What has been
25:21one of those mistakes
25:22of those you say
25:23This was terrible.
25:24We did it
25:25in the most infamous way
25:26but maybe
25:28That was it
25:28the one who learned the most
25:30I think we had
25:31a meeting
25:32very early
25:33with a
25:34with a large EPS
25:38and a little bit
25:39then we met
25:40to someone
25:40in there
25:41and he told us
25:41As you say
25:42that a little bit
25:42the comment was
25:44that we had been
25:45very unprofessional
25:46at the meeting
25:48And I think that
25:49That hit us hard.
25:50because I don't know
25:51We didn't put out a presentation
25:52We didn't show them
25:53all results
25:54that we have
25:54we have
25:55published papers
25:56many things
25:57that we could have
25:58how to deliver them
26:00in a more
26:02Yeah
26:03how to support
26:03a little more
26:04medically
26:05what we have done
26:05I think that
26:06That taught us a lot.
26:08nowadays
26:08we prepare
26:09very good
26:10for all meetings
26:11we understand
26:11who are we going to talk to
26:12if it's going to be
26:13a meeting
26:14more financial
26:15or more medical
26:15or more scientific
26:17or less scientific
26:19I think that
26:19that meeting
26:20It makes me think
26:21every day
26:22if you
26:23were writing
26:24This is for a series
26:25from Netflix
26:26or Amazon
26:27or whatever
26:28to what genre
26:29would belong
26:30and in what season
26:32Would they go?
26:33That's a great question.
26:35I think that
26:35would belong
26:36like
26:39at this stage
26:40It's almost suspenseful.
26:41I would say
26:42how to see
26:43What's coming next?
26:44No?
26:44and how it will transform
26:46health in the world
26:47thanks to this
26:49and we would say
26:50definitely
26:51in the first chapter
26:52from the first season
26:53One always has references
26:55of whatever
26:56family
26:57business
26:59inspirational
27:00of whatever
27:00Who are your role models?
27:02or what have been
27:02their role models
27:03for modeling
27:04what it is today
27:05Corpus EI
27:06but also
27:07to the entrepreneur
27:08that is behind
27:08of all this
27:09along with the others
27:09co-founders?
27:10I think we
27:11We are undoubtedly
27:14well the sum
27:15of everything that
27:15what we have done
27:16No?
27:17I have many things
27:18that I bring quickly
27:20in the form
27:20in which
27:21in which I have
27:22the company
27:22and the form
27:24a bit
27:24in which we built
27:25and all this
27:26definitely
27:27also of copper
27:28We bring things
27:29important
27:29above all
27:30my partner Santiago
27:31that saw
27:32grow much more
27:33Well, to José
27:34and to all the
27:35co-founders there
27:37And those are
27:38major role models
27:39our
27:39Rappi Copper
27:40I think without a doubt
27:41on the entrepreneurial side
27:42definitely
27:43They are great role models
27:45and in terms of health
27:47as entrepreneurs
27:47in health
27:48I believe there are
27:49two lines
27:50of entrepreneurship
27:51that to us
27:51We get a lot of calls.
27:52attention
27:52one is
27:54There is a company
27:55which is called
27:55Hypoplastic
27:55which I think
27:57spectacular
27:58They are people
27:59very serious
27:59that we say
28:00constantly publishes
28:02like it has
28:02that rigor
28:03of the public
28:04I'll tell you
28:05What are my results?
28:06because I'm better
28:07than this other thing
28:07Why not, and so on.
28:08So that
28:09that
28:10We see it a lot
28:11and let's say
28:12we treat it as
28:13to bring
28:13to our
28:14that is, our way
28:15to become an entrepreneur
28:17There's another one called
28:18Tempus EI
28:18which also
28:19He's a giant
28:20Let's say about health
28:20in the United States
28:22that we love
28:23what they do
28:23They are very focused
28:24in cancer
28:25that we say
28:26We'll go there
28:27later
28:28but
28:29with other types of data
28:30I mean
28:31the
28:31the gringos
28:33They have a great advantage
28:34And that's because they have
28:34another level of data
28:35all the data
28:36possible
28:36genomics
28:37and any amount
28:38of words
28:38of these that nobody
28:39understands
28:40which are data
28:41that in Latin America
28:41We simply don't have
28:44But they
28:45They are a great role model.
28:46how they do things
28:47Juan Felipe
28:48this question
28:49let's say
28:50I've turned it back
28:52absolutely frequent
28:53for some time now
28:53because I believe that
28:54Everyone is very happy.
28:55counting their rounds
28:56investment
28:57how are they solving
28:58issues
28:59how they capture
29:00attention
29:00of the customers
29:01how have they managed
29:01big business
29:02but sometimes
29:03it is forgotten
29:04of the human
29:05that is behind
29:05So I want to ask you
29:07How is your mental health?
29:08and if possible
29:09How is yours?
29:10co-founders
29:11that of her colleagues
29:12I think that
29:13let's see
29:13definitely
29:14There are great challenges
29:15in entrepreneurship
29:16like what one
29:17It has to have
29:18in order
29:20Thank God
29:21I have a wife
29:21wonderful
29:22some children
29:23incredible
29:24Many people say
29:25what to undertake
29:27with children
29:27or with family
29:28let's say
29:28It's bad
29:30because one has
29:30that work a lot
29:31I think it's the other way around.
29:32I think that
29:32my family
29:33Well, it certainly is.
29:34the great engine
29:35of my life
29:37I also have parents
29:38Let's just say they've supported me.
29:40lifetime
29:41I am a doctor too.
29:42health entrepreneurs
29:43I learn a lot from them
29:45so like
29:47in general
29:48I think that
29:49the motivations
29:50of my life
29:51the passions
29:52of my life
29:52make this
29:53part of what I like to do
29:56I get up
29:57Happy to work
29:57It's not something
29:59that it costs me
30:00well or what
30:00No
30:02then yes
30:03Thank God
30:03I'm very well.
30:04I think that
30:05all my partners
30:05in general
30:07first we are
30:07very happy
30:08working together
30:09We've done very well
30:09that doesn't always happen
30:10clear
30:11That's one of the challenges.
30:12more difficult to face
30:13and also we
30:14We're old friends.
30:15So that sometimes
30:16It even goes wrong
30:17and we have
30:19the great fortune
30:19that we have understood each other
30:21very good
30:22and all of them besides
30:24They have again
30:24like us
30:25We're kind of identical
30:26I always say that Santiago
30:28if people
30:29Let's say I didn't know
30:30I would say we have
30:31the same parents
30:31when we count
30:32our life stories
30:33We have the same virtues
30:35the same problems
30:36all
30:38so
30:38He is also the younger brother
30:40fingers
30:40yeah, like
30:41rather
30:42We are very similar
30:44Okay, and with this one, yes.
30:45But let's get back to the course
30:46from the interview
30:46To finish up
30:47And tell us about the numbers.
30:49Let's finish this.
30:50because ultimately
30:50It's a business
30:52And sometimes one concentrates
30:54much in purpose
30:55But forget that behind
30:56of the whole purpose
30:57Well, he has to put up with it.
30:58a business
30:58and that business
30:59It has to be useful
31:00or if one is not going to do business
31:01Tell us about the numbers
31:02How are the figures?
31:03at the moment?
31:05we, of course
31:06Let's say we're a small team
31:07all things considered
31:09It's not like we spend
31:11large quantities of silver
31:12as a team
31:13nor in anything in general
31:16Today we sell
31:17approximately $650,000
31:18per year
31:21So, let's say
31:22in figures
31:23We're doing pretty well.
31:24growing
31:25kind of the idea
31:26of these companies
31:27It's growing very fast.
31:28not just because
31:29but because to the extent
31:30in which they grow quickly
31:31first they have more impact
31:32second
31:33They show a little more
31:34which is a real need
31:36that need to be addressed
31:36in the market
31:38So that's it.
31:39obviously one of our
31:40large spotlights
31:41investment
31:41and everything
31:42How do Juan Felipe look?
31:43I don't know
31:44maybe two years
31:44speak today
31:45five or ten years
31:46in the financial world
31:47before it was almost
31:48that the rule
31:49But nowadays
31:49I believe with the world
31:50technological
31:51walking so fast
31:51They are too far away
31:53those projections
31:54then rather
31:55Let's talk about one
31:55two or three years
31:56What do they look like?
31:57us
31:58We're starting this year
31:59with an algorithm
32:00which was a heart attack
32:01acute myocardial
32:02and the only one
32:02Today we have five
32:04we are developing
32:04two more
32:05so I
32:06how I look
32:07first is
32:08having, let's say
32:09an integrality
32:10of the patient
32:11beyond the
32:12cardiometabolic
32:13which is what we see today
32:15but
32:16practically then
32:17in everything that
32:18what is relevant
32:19for health
32:19of a person
32:21and for most
32:22of people
32:22let's say we
32:23we are not
32:23For example
32:24interested in
32:25orphan diseases
32:25and this
32:26because find
32:27to a person
32:28in millions
32:29it's not
32:30is it not perhaps
32:31which
32:31which will transform
32:33well, millions of lives
32:34and without saying
32:35that's not important
32:36I think that
32:36is supremely relevant
32:38But that's not our focus.
32:40That's one thing.
32:41then we're going to have
32:42many more
32:43predictions
32:43of various diseases
32:44and on the other
32:45we will be transforming
32:46life
32:47of millions of Latinos
32:48worldwide
32:49the goal is
32:51in the short term
32:52then Latin America
32:53and then they think
32:54Maybe I don't know
32:55almost like everyone else
32:56USA
32:57and then Europe
32:57Asia
32:57all Latinos
32:59in the world
33:00Latinos
33:01in the United States
33:01if I'm not mistaken
33:02There are approximately 65 million.
33:04of people
33:04They are the fifth largest economy
33:05of the world
33:06and they are also
33:07neglected
33:08in terms
33:08of medicine
33:09are underrepresented
33:11in all studies
33:11doctors
33:12They take care of them
33:13as if they were
33:14exactly the same
33:15to the gringo
33:15that is next to
33:16and they are not
33:16There it is
33:17Well, Juan Felipe
33:18before it ended
33:19the interview
33:19what is corpus
33:20because corpus
33:21body
33:21corpus is body
33:22in Latin
33:24and kind of like
33:25in fact it is corpus
33:27eia
33:28and not ia
33:29precisely with
33:30with the objective
33:31that we
33:32We are a global company
33:33Let's attend to this
33:35Latin population
33:35We are a global company
33:37and the people
33:38not only Latinos
33:39but the whole world
33:40He needs to understand
33:40He needs to understand
33:42that is worthwhile
33:42working for Latinos
33:43in the world
33:44He needs to understand
33:44that is worthwhile
33:45conduct medical research
33:46for this population
33:48and well, body
33:50definitely
33:50because we are going to make an impact
33:51the bodies of people
33:51Well, there it was.
33:52Juan Felipe
33:53That's why I'm coming
33:53Give me your hand
33:54congratulations
33:55There's one more story.
33:57in entrepreneurship
33:57and viewer leadership
33:58Remember that this information
34:00remains open
34:01on the YouTube channel
34:03for the viewer
34:04and for all of you
34:05obviously
34:05that they want to consume it
34:06somewhere in the video
34:07and it remains for subscribers
34:09in a version
34:10written
34:11within our
34:12closed content
34:13Of course, too
34:14has distribution
34:15on social media
34:15So here it was
34:16Juan Felipe
34:17Congratulations again
34:18The business sounds great.
34:20but above all the purpose
34:21And you already know
34:22See you later
34:22with these kinds of stories
34:23every eight days
34:24in entrepreneurship
34:25and leadership
34:26from El Espectador
34:27see you soon
34:38from El Espectador
34:38from El Espectador
34:38from El Espectador
34:38from El Espectador
34:39from El Espectador
34:39from El Espectador
34:39from El Espectador
34:39from El Espectador

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