Q&A with Jenny Diggles, Co-founder of JennyCo, the world’s first AI & Web3 Healthcare Data Exchange

Excerpts from the Twitter Spaces Interview with JennyCo Co-founder Jenny Diggles by Community Member, Julius Optimus, on May 25, 2023

Julius (Interviewer): To me, JennyCo is the perfect use case of applying Web3 technology to solve massive problems in the world. JennyCo is the first Web3 healthcare data exchange, and in my opinion, will bring about a paradigm shift in healthcare — with a personalized AI health assistant for all of your health data to help you live a healthier life and know more about yourself.

Check out Julius’ summary video and then see the full Q&A below.

Q: Would you mind giving us a quick introduction of what JennyCo’s building and the inspiration behind it?

Jenny (JennyCo): What we’re building specifically is an app that will allow the everyday person to store and securitize their medical well being data, IOT data from their devices, and be able to use that data to get back very personalized insights about their own health and recommendations, as well as being able to lease their data compliantly and anonymously so that it can be used in different studies. This is really a way that we’re putting the person in charge of their own health information and what they decide to do with it.

Julius (Interviewer): There are so many different ways to obtain health data today. You have your Apple Watch, smart clothing, all these devices, and they’re not synchronized. One of the things I love about JennyCo is the dynamic health data branding.

Q: Can you describe the difference between a static healthcare data model (our current model) versus a dynamic healthcare data model experience?

Jenny (JennyCo): When we look at where we’re currently at … I have for example, as you do too, tons of electronic medical healthcare records out there that have existed since we were born, more or less, including our dental records, and they’re everywhere and they just don’t change. They stay the same.

That’s why every single time I go into the dentist, they ask me to update the record because they don’t have updated data, and they’re also only asking the questions that they know to ask. And so it’s often the same thing over and over and over again.

There’s no dynamic information there. Furthermore, I don’t actually get those records dynamically updated anywhere for me when I leave the doctor’s office.

Now, there are some things out there like my chart or my health on different platforms where, if you’re going through a surgery or something like that, they give you this portal to log into, but it’s not really that useful.

So that data just sits there. When we look at dynamic data, we are looking at what did I do today? What did I eat? What’s my blood pressure? How well did I sleep? Those things factor so strongly into how I’m going to feel and the effects my body’s going to have.

And those are big pieces of this.

60% of our overall well being is based on what we’re doing on a daily basis. This dynamic data is incredibly important for both our own understanding of our health, and also for our healthcare practitioners who don’t usually get that insight.

As I think about the questionnaires I fill out at most doctors’ offices, they really only get into some exercise, let’s say, how often do you exercise and at what intensity? And that’s pretty much it. They’re not asking about my diet or stress levels or relationships in my life that are going to play a role as well. So that dynamic data is incredibly important. We can’t really base how we’re going to feel in the future on an old static record somewhere, but we can make a more accurate prediction of how we’re going to feel in the future off of the dynamic data we’re collecting today.

Julius (Interviewer): I wanted to talk about the cryptocurrency element of all this. To me, cryptocurrency as an incentive mechanism to allow people to own their health data, own all these IoT sensors, own your genetic component, bring in your EHR, bring it all into this 360 degree view, and then you have AI giving you real time insights into how you can live better.

Q: Can you talk a little bit about the cryptocurrency element and compensating people in addition to providing this valuable service?

Jenny (JennyCo): I think it’s helpful to currently understand how clinical trials work. So right now, there’s really two ways that information is gathered in a mass way to either produce new therapies or drugs, whatever it may be. It’s either a clinical trial or what’s called an observational study. Clinical trials largely lean on drug-based therapies or devices. They call them interventions. And it relies on physical locations of people being able to make it into a hospital or clinic or doctor, wherever these sorts of trials are happening. They’re also very focused just on the task at hand. Let’s say their metric is “we want to lower blood pressure.” They’re literally very focused on that. And so that is the metric they care the most about, which means that maybe some of the baby’s getting thrown out with the bathwater inside some of these studies.

They also can include risk and injury, and they’re not guaranteed to give back any feedback to the participant around what they learned about them in particular. It’s rather this whole data pool of people, and they get their information and they move on… and right now there are some challenges around compensation for how these current studies are happening.

So it can sometimes be viewed as coercion, or people will fake a health history in order to fit into the study if the pay is enough. And so on the flip though, compensation leads to higher enrollment, fewer dropouts, and it can also reduce the timelines of the study. So compensation is a very important piece.

As we look at how these things currently work and where we fit in, I believe we can do this so much better and more efficiently, and we don’t need to have physical locations.

We’re decentralized. We can work with people who are everywhere, which means that there can be a much larger pool of participants to engage in a study versus just looking at, say, people in one city.

We can also use algorithms and AI to get insights into the holistic health of a group of people to start to identify that maybe there are some other causalities going on here within this group that are leading to the conditions they might be struggling with.

By giving people compensation through cryptocurrency, it does a few things. It encourages them to participate in the study. They also have to contribute some of their own $JCO utility tokens into it that comes with their data that basically validates they’re real and it’s them. And then it’s locked in there for the portion of the study. Of course, anyone can leave at any time, just like any sort of study like this and take what they brought in with them, but if they stay for the duration of the study, they’re also going to be given back compensation for that and insights.

This is where things have fallen off in the past for other studies in my opinion. They don’t have to tell the participants what they learned about them in particular.

We view this as a way to speed up the timeline and it’s much harder to fake a health history if your genetic information is in the app. If you’re then uploading any other medical documents, it’s kind of hard. You can’t pretend to all of a sudden have breast cancer when you don’t. So it makes it much cleaner and better for the people who want to research the kind of condition they’re looking at.

I really view this as a way for people to want to engage and say, “Great, I’m going to get to know myself better. I’m going to earn some rewards out of this, and I’m not just being used.”

Right now a lot of our data, that is that static data that’s just out there is being used in this way for the gain of other entities without any of the people who are essentially contributing information, being aware of it or getting any sort of compensation for it.

I feel like there is so much information that people don’t have. And when we look at our families, what’s so funny to me is how we have things like Ancestry and 23 and me, and they’ll tell me what heritage my family is, you know, very kind of superficial aspects, but it’s not getting into the deep sort of data, you know?

One of the ideas for a future state of JennyCo is to have a place where families can create their own groups, contribute their data, and really start to see if we have genetic predispositions to things. And also to help each other keep tabs on their family members. Like, my dad’s going in for a surgery tomorrow, and I know that because he told me, but it’d be great if there was a way for me to kind of monitor and be a part of that and encourage his healing and well being.

Julius (Interviewer): I’ve heard you in the past talk about Ancestry.com and 23andme. It’s like they literally are offering this test at a breakeven price because they’re selling your genetic data in the background.

Q: What are your thoughts on genetic testing companies like Ancestry.com and 23andme selling our data?

Jenny (JennyCo): I hate that it’s true, but I’m glad that it’s true as well because it proves that there’s a really big opportunity for each of us within this to claim that money for ourselves instead.

Julius (Interviewer): I know you and, and your husband, Benjamin, are very passionate about Web3 and data ownership, like data is the new power. Speaking of Benjamin and Constellation, one thing that layer zero distributed ledger technology offers, and to me Constellation’s Hypergraph uniquely, which JennyCo is building on, is the ability to synchronize disparate data sets.

It goes along with that 360 degree view of your health. I’m going to bring my genetic test in, my doctor records, my IoT, all in one, and then I’m going to have my AI to analyze that.

So let’s say there are five breast cancer research companies, but all of them have the same mission. All of them want to cure breast cancer.

Q: With JennyCo and layer zero technology, is there a way for multiple research companies studying the same thing to port their datasets down to a common layer to expand on their individual capabilities to run AI ML analysis to research and figure out new causations and potential solutions?

Jenny (JennyCo): I think this is all possible. And what’s crazy is it feels like it’s only becoming possible right now, with access to something like Constellation’s layer zero protocol to having these IoT devices that are constantly collecting information that can be real-time validated and pulled into a system. And then now we also have the release of really good AI tools. It feels like this is now the potential of where we can get to.

And what’s great is that AI doesn’t have a bias. It’s just looking for data. It’s looking for correlations. When we can strip biases away, we can strip that from the table and really start getting into better data, clean data, better collection, better analysis.

What’s so cool about this dynamic data is being able to collect it over a period of time. Like, being able to collect it from a healthy person who may have a genetic predisposition saying, hey, they may or may not get breast cancer and studying that person and their decisions to see does that turn on or does it not? And what were the things that factored into it could prevent so much.

The dynamic data’s going to matter so much versus the snapshot in time of me seeing the doctor today and then looking at a really old record from maybe a couple of years ago. That’s not going to be all that helpful moving forward.

Julius (Interviewer): This is an extremely powerful vision. I wanted to kind of parlay into micro DAOs or groups or communities that form within JennyCo.

Q: Can you explain how the group DAOs will work within JennyCo?

Jenny (JennyCo): The way these groups will work is that they could be initiated by JennyCo or by a research institution or by participants inside the app who want to create a group around a particular thing.

What we think a lot about are the orphan diseases. An orphan disease is something that affects 200,000 people or less. In this country there are about 7,000 orphan diseases.

Right now there are about 30 million people in the U.S. alone who are dealing with something where there’s no research being done, no therapies provided because there’s no financial incentive. If they were to get all these people together and do a study to create a pharmaceutical that’s really only going to treat 75,000 people, well either that pharmaceutical is going to be so expensive that the people who actually need it can’t afford it or it will never be developed because the potential market isn’t big enough.

What we see happening is a way and a place for people to contribute their information into a group if they meet the parameters of it. And then within that group there can be research and analysis going on consistently around what that dataset is saying and doing. And especially as the data is dynamically being updated so that hopefully there can be some conclusions that are being drawn.

For example, if you’re dealing with this rare orphan disease that’s affecting your skin and we’re finding 95% of the participants in this group all have this same genetic disorder. And with that, this is the potential switch for how to change that. So we really see it being very powerful. The interest in this data is vast — it’s not even just the medical companies anymore.

Q: What will the initial launch of the app look like?

Jenny (JennyCo): When we launch, we’ll have some of the core features of the app. These include having a wallet to hold the tokens as well as detect if you bought a JennyCo NFT. Some of the NFTs have additional booster rewards attached to them. Within the app, there’ll be surveys, and that’ll be an initial way to just get some data sets going. If somebody’s like, I don’t know how to get my electronic healthcare records. I didn’t do a DNA test, it’s like, that’s okay, you just start somewhere. So there’ll be surveys for people to take in order to start building out their profile of their data, their insight. We’ll have some initial groups that people can join and start to contribute that data.

We’ll have a chatGPT integration. It’s just a “dumb” integration for now. By that I mean this is not an integration that will be looking at any of the data at all, but it is a way for people to get comfortable with the idea of using AI to ask for insights like what should I be doing for a workout if I weigh 150 pounds now and want to lose 10 pounds?

You know, this is just here to start to create that AI aspect to it. And then we’ll have a lifeline, which is where people will store their data and see in chronological order all the things that have been contributed to it. Whether it was pulling in Apple IoT watch data, or you went to the doctor’s office, you took some medication, whatever it is, it’s a way to start to chronologically organize that information.

And then some of the features that will come next include a shopping page. We’re also working on integrations with partners on how we can make it really seamless. So when somebody buys a test and takes the test, the data shows up right back into their JennyCo lifeline vault area, so they don’t have to worry about uploading it or doing anything like that.

Shopping will be coming very soon. And then an intelligent version of the AI. So, you know, ChatGPT has access to one billion websites, but apparently it’s not currently scouring for more. So it bases it off of that. It doesn’t give personalized information for somebody. It’s really generic based on what it’s read. It’s just a large language model.

Where we’ll get to is essentially what we’re calling a “walled garden.” So we’ll be using these walled garden instances of a couple of different AI platforms that will be looking at my personal information and giving me personal insights. AI is wonderful, but we do not want any of our user’s data exposed or contributed back into something. This has to stay localized. So what’s nice about this is the system can get smarter and smarter and smarter.

Let’s say I’m in the place where I want to lose 10 pounds and I’m starting to get insights based on my genetic data — all sorts of suggestions on what I should do. I’m going to be able to say, “Hey, it worked — I lost the 10 pounds.” Or I’ll be able to say it didn’t work. And then the system gets smarter.

It’s like, oh, okay, so that worked for her and this didn’t work for her. And in the meantime, it can also look at the overall JennyCo pool of data from the people who’ve allowed for this (again, this is all consent based), and it’ll start optimizing and finding different connections.

To us that’s really exciting. I’m very excited for that piece to come out. When the app launches it’s going to have some of the core things for people to do. We have so many cool features coming out, just some stuff that makes this app really, really fun, but when we launch, it’s the backbone. These are the backbone core pieces of what people will have to kind of master, and what they’ll be using on a regular basis.

Julius (Interviewer): It’s going to offer so much value. Let’s say I get my genetic test in there, I start doing some lab tests, and we have the AI component, the questionnaires.

Q: Is the AI providing recommendations to me based on outside databases that correlate between genetics or is it all within the JennyCo database that the AI is using?

Jenny (JennyCo): We’ll probably use something called “stability AI,” which looks at PubMed resources and research, which is largely just basic biological research. That will bring in that aspect of what we know scientifically speaking and what we know biologically speaking. So it’s not just going to be based on the JennyCo data, it’s going to be referencing some other reputable sources of information as well.

Q: Do you see the healthcare model becoming proactive? Like, “Hey Julius, your blood pressure has been high the past three days.” Could the JennyCo app alert me that something’s going on and even refer me to my doctor? Is that possible with my real-time IoT data feeds?

Jenny (JennyCo): Absolutely, within the app that is a possibility. It will start surfacing insights to you as things change — like noticing one of your metrics is a little off and correlating it with other data.

The aspect of tying in with doctors is such a cool piece. Now the challenge becomes that oftentimes these doctors’ offices don’t have systems to analyze that kind of data, like what we’re setting up. They’re looking at just the basics. What’s your blood pressure? How much do you weigh? How tall are you? That kind of stuff. So what would be pretty great is to be able to port over to a doctor very easily, that basic data they’re looking for. And then ideally in some sort of notes section — since we have to work with the platforms they’re using — we could paste in there the current view of what’s happening with the patient. Here’s what has been tracked, here are the trends, whatever it may be, so that the doctor can start from a better place of knowledge to hopefully rapidly find a better solution. And then we could also take that data back. That’s a huge goal.

I envision going into my doctor or my dentist, and they scan a QR code when I check in, updating all my medical information, and when I leave, I scan the QR code again so I get all the new updated information back, whatever the notes were from the doctor on that visit. That way I’m not missing anything.

I recently had a blood test done, and it was the weirdest thing. I went in with the doctor and she said, “Oh, we have your blood test results, everything’s good.” I could see the paper just sitting next to her and I was really curious about all of it — not just the one metric she was concerned with — but she didn’t give it to me. And I’m thinking, “What are we doing here? What’s going on? This is strange.” This is my information and maybe she assumes I can’t interpret it, I don’t know what to do with it, or I have nothing further to do with it. So she’s just simplifying it down to “You’re fine.” Okay, but I’d prefer to have all the data so that over time as my profile builds, I have a really great record of seeing what’s been happening to myself over time.

Julius (Interviewer): Absolutely. It’s like you have to trust in one person’s analysis of your data. And it’s not even a holistic view — it’s craziness. I watched Benjamin Diggles and Ben Jorgensen on their recent Hypergraph Hour about IoT devices syncing directly to an immutable distributed ledger on the Hypergraph. And I’m thinking how great it would be if JennyCo could create hardware devices owned by the user, collecting healthcare data and feeding directly to a DLT synchronized across this entire layer zero dataset.

Q: Has JennyCo thought about any IoT hardware device development initiatives for health monitoring?

Jenny (JennyCo): Yes, and it’s never too much because I love the big picture. I love fast forwarding and imagining what’s possible — that is where I have the most fun. We definitely have that idea. And right now getting hardware devices manufactured is becoming dramatically less expensive. Even the other day in our Telegram channel, someone mentioned a smart toilet bowl — performing urinalysis and fecal analysis. It’s so funny because a couple weeks ago, Benjamin and I were brainstorming about hardware devices that could collect medical information and what would be best. And I wondered if there’s anything around toilets.

We looked it up and actually found something! There’s just so much possibility. And we plan on integrating with as many as possible devices that allow their data to be synced into something else. As long as they don’t have their own walled garden approach, we can pull that data in, and the person can use it in different ways. We’ll be able to see what people are using the most and what data being collected by these devices is having the most impact in terms of people’s health as well as what is worth the most. With all of this information, I believe we’ll be able to develop a hardware device that will benefit people the most as well as giving the best insights for them. There is a big goal for that and something we are very excited to get into.

Julius (Interviewer): That’s really exciting to hear.

Q: What about your partnership with Dr. Dragan and Arizona State? What’s happening with them?

Jenny (JennyCo): Oh yes. We love Dr. Dragan, and we love ASU. They have been incredible partners. We’ve already accomplished quite a bit with them, and we’re using their HIPAA compliant blockchain. We’ve granted ASU $100,000 that’s being used for scholarships for students who are in blockchain and building state channels and now metagraphs on Constellation’s Hypergraph network. We even hired our CTO who’s a former student of Dr. Dragan. So they’ve been the best.

They’re going to help us in the near future with the app release. Getting the ASU student body engaged is huge. There are a hundred thousand students there. So that’s a big, big potential draw for us into the app. And then we’re going to be working with them primarily on an R&D basis. We have some really unique ideas around how to use AI and machine learning to manage things like our state channels and our groups. We have an initiative now that I can’t go into detail on, but we are really diving into ways within our app and our ecosystem to keep things true — to prevent people from faking things, to prevent people from trying to manipulate the system in any way.

So yes, we’re really excited to keep working with them, primarily on research and development of some “out there” ideas.

Julius (Interviewer): That’s so cool to hear. Now I’d like to shift a little bit to the tokenomics. I know there’s been research done in terms of the monetization revenue potential for us as users of the JennyCo app. So let’s hypothetically say I’ve got my genetic test in there, I’ve done the questionnaire, I’ve got some lab tests, my EHR records are syncing in.

Q: From a user’s perspective, how valuable is this data all put together? Is there a rough monetary estimate you could tell us that we could expect to potentially earn from this?

Jenny (JennyCo): Yes, we get this question regularly, and we have looked at how people are currently being compensated for studies and how much their data is worth out there in the market. And it really varies. It varies anywhere from $1,000 to $30,000 based on the study, but we believe this will be recurring for people. People can earn based on the studies they’re participating in, of course, and the value of those studies, how long they go on, etc. Don’t hold me to this, but my gut says this is easily worth $1,000 on a minimum basis a year to a person. What I feel is more accurate is somewhere closer to $5,000, and go up from there.

I really feel that the more people are contributing to it and participating and adding to this overall momentum of hopefully finding solutions, healing themselves, just feeling better, that there’s going to be a really great flywheel of that money — just knowing how much this data is worth. It’s a $50 billion industry right now in this country alone. You could divide that up among everybody and get to a number, but not everybody’s going to use it. Not everybody’s data is being used. Anyway, I hope people earn a lot. I really do.

I want to see people be healthier and wealthier. I feel very strongly about that. For us that’s a big driver — how much money can you get into people’s hands for their data and for the insights they’re contributing?

Q: In terms of purchasing data, say we’ve got this outside group, and they want to lease the data for $1 million. Does $800,000 USD get bought on the open market of the $JCO utility token? Is that how it works?

Jenny (JennyCo): Yes, that’s pretty much how it will work. That amount will be the pool of tokens used to compensate the group of users who join that study. It’ll most likely be purchased off of the open market. We have to consider that sometimes we may have to facilitate a purchase for these entities who won’t be crypto savvy. They just want to get good insights. They just want to have some good information, and they know that they have to pay for that — so we may have to do some of that facilitation for them in terms of converting the fiat into tokens and injecting it into the system. But yes, you’re right in general about how it will work.

Julius (Interviewer): Great. Now, I know people with genomic data, and they don’t want their genome out there floating around. They think, “that’s valuable data that could be used against me.”

Q: Can you give us a quick overview of the security of the data so we know it can’t be hacked and also the models you’re using?

Jenny (JennyCo): Yes, because we’re using this HIPAA compliant blockchain, the data is fractionalized and saved in shards as it is with a decentralized blockchain, and then on top of this it’s stored only in HIPAA compliant locations. In addition to that, we’ve been using AI to patrol the data as an additional layer of security — to detect if something seems fishy or if there’s an attempt to try to get to a piece of data. We are very concerned about the security of it, and quite honestly, this has been the focus of our development so far within the app. It has been very back-end focused, making sure the way that people contribute data, how it’s attributed to them, and how they can use it and even delete it is fully intact and fully secured.

I’m really excited that we’re using this HIPAA compliant blockchain because that means the way we’re dealing with data is highly compliant, especially when it comes to medical rules and privacy.

Not only are we secured with blockchain technology and the AI “patrol,” but we have the added layer of HIPPA compliance on top of it. With all of this, It will be virtually impossible for anyone’s data to be hacked.

Julius (Interviewer): Thank you for your emphasis on that. That’s so important. What you guys are building is extremely powerful. I think it pushes humanity forward, and that’s why I’ve personally become obsessed with Constellation and its ecosystem. And JennyCo because it allows me to see a brighter future. I want to direct my energy towards bringing that to life.

Q: Overall as a community — we’re JennyCo loyalists and warriors for you guys. How can we best help and advance the mission for you?

Jenny (JennyCo): I love that. I really do. I believe we can build a much better, healthier future for ourselves. The best way anyone could support us is to really use the app. And once we have it out there, tell other people to use it as well — to get the benefit from it. That would be huge.

It’s funny how many apps I’ve learned about that just came from somebody else saying, “Oh, you gotta try this one. This is a great app for x.” I would love for us to be in that position.

I want people to say, “Hey, this has been awesome, and I’ve earned this compensation, and my data’s doing good things.” That would be the best. Truly that’s what I would love.

Also, we’re looking for ideas as people are using it. We have a whole list of future potential features. We have the ones that we’re more closely zeroed in on for our upcoming releases, but we’re also looking for people to bring up ideas. We want to build an app that is for the people. And so we want to make sure that everything we’re doing is really very focused on the person who is using it. So yes, using the app and telling us what you’d like to see within it would be amazing.

Julius (Interviewer): We certainly will, and I think the network effect here could be pretty insane.

**Following are additional questions to Jenny from community members**

Q: Regarding the AI component, will users be able to control or even train their health AI such as feeding it things like research article links or YouTube links to various psychologists or doctors that they align with or are interested in learning from?

Jenny (JennyCo): Yes. I love that question and idea.

Part of our approach with the walled garden is to give each person their own personalized instance of an AI that they can work with and train based on what has worked and hasn’t worked for them.

This could include some research papers you’ve read recently, or a video you watched. And as you’re training it and it’s gaining more and more insight in giving you recommendations and you giving feedback, it will become much smarter on everything about your personal health. This is a very big approach for us — the personalization of the AI is the most important thing.

I just think about going to Google and typing in something and you go down the WebMD rabbit hole, and it’s just a mess. You don’t know if any of it’s true or if it’s actually what you’re dealing with.

With the JennyCo app, we want people to feel very comfortable being able to communicate with their aspect of the AI and to contribute what they’re doing, as well as what other people may be doing to help customize that.

Michael, our CEO, has said it so many times on the different calls we’ve been on, that the outcome data is the most important data. If we can contribute to our own personal AI with outcome data, it can better analyze us.

As an example, I took a genetic test a long time ago, and it told me essentially what kind of diet I should eat and what kind of exercise I should engage in, but it also gave me the disclaimer that they had really good, valid information on men, but not for women. And what was funny is that it told me — because it didn’t have enough information on women who were my age, who were exercising the way I was currently exercising — that I was going to be like a Type II diabetic that I was most likely obese. And I’m none of those things.

So that’s an example where I could go back and set the record straight. I could tell the AI this is what I do, this is how I work out, this is how I currently eat, this is my weight and all the current data on me so it can become smarter and give me more accurate recommendations. So yes, we want it to be so highly personal that you could contribute information into your instance, and get back better results for yourself.

Q: Will there be a way for the user’s health AI to communicate to their healthcare providers or physicians on the patient’s behalf, or to sync this health data to the hospital’s patient portal or their EHR — to help eliminate the low health literacy gap?

Jenny (JennyCo): Yes, that would be huge. For us to be able to sync the data into those systems is going to be an important piece. As I mentioned earlier, we have to think about how those systems are currently architected and what sorts of data they are capable of taking in. And then where we can take, for example, a recap of your personal health status and how that gets poured in so the doctor can see that and read it before they come in to meet with you. With this data, they’re already starting off from a better vantage point.

I do think there would be opportunities and potentially necessities for people to have an ongoing sync. Let’s say you have something going on that’s a very acute disorder that you are managing, and it’s truly a day-by-day thing. I would love to see that data be automatically synced with the doctor. And so the doctor can get alerts when something spikes, for example, so the doctor would tell you that you need to come in for a certain treatment, whatever it is. That could also potentially eliminate deaths that don’t need to happen, or diseases that start to spiral, conditions that spiral out of control before there can be an intervention.

Those are all really wonderful additions and ideas for how this app could work and where I would like to see it go.

Q: How do you see the JennyCo app going internationally? I mean, are you focused on the US or any international plans you can shed some light on?

Jenny (JennyCo): Yes, we do have plans to be international. What’s really interesting is as soon as Michael and I started to build this, we started to have interest from people from other countries telling us about how their country needs public health and better access for their very large population of people. Take India for example — there are over a billion people there. How do you get healthcare into someone’s hands on a daily basis so that your overall population stays healthy and doesn’t become an economic drain or an impact to what’s potentially available healthcare-wise for the country?

What would probably work is for JennyCo to engage in joint ventures with these other countries where we could contribute technology, and they would contribute their language translation, the population of users — all that sort of stuff.

The way we view it right now is that the data would remain separate and necessarily so. With a joint venture, we would provide the technology, and they would manage other aspects of it from a regulatory basis with their laws and compliance requirements in their country. So we do plan on international expansion. I think the easiest ones to start with are our neighbors to the north and south. But international expansion is a big focus for us, for sure, over the next year or two.

Q: In what way do you think this data being synced up into the JennyCo app could help specialized parts of medicine communicate better? I’m in a specialized medical field and I’m thinking in terms of using the app to make better healthcare decisions for patients after they’ve already had incidents and have to see different providers.

Jenny (JennyCo): You’re right. There are so many times that we go to the doctor or to a therapist because we’ve just had a problem — something just happened, and we now need to deal with it.

I could see a way that medical providers who do want to have better insights on their patients could recommend the JennyCo app. They could say, “Hey, we use this app. I’m going to add all the electronic records I have on you now. Take this test (or whatever it might be they recommend to you)”. Then leverage that AI system for the data around that patient that is yours as the medical provider and encourage the patient to come back to you so you can start making better decisions with their care.

You could have them take the test, and you could take them back in and try to do your own analysis on them, but if there’s a platform in place that can do a lot of it for you, hopefully it can identify some areas where there’s great benefit through a small change.

I could see that working. We want this to be something that works very well with medical providers. We want it to be of benefit to them. Most medical providers right now are so overwhelmed. They have so much on their plate and so they get in front of a patient and do their absolute best, but they’re working within a short time period with limited information. If they’ve never seen the patient before, it’s all new. Everything is new. And so if we can speed up the ability for a provider to get way better insights about their patients, that’s really where we’d love to play a role in helping you with your job.

Q: What is the vision for the average user’s daily conversation with the AI component? Is it a constant flow of what’s been going on throughout the day? What exercise routines are looking like? What diets are like? And then the AI gives advice on a continual basis? Like how much, is it like an everyday sort of deal in terms of interacting?

Jenny (JennyCo): It can be like that. We want it to feel like that. I sat down and did this brainstorm about how I would use the AI, how from the moment I wake up to the moment I go to sleep — how I would interact with it.

So let’s say I wake up and I didn’t sleep well. I could say to the AI, “I didn’t sleep well last night. I woke up at 3:00 a.m. and I didn’t fall asleep again until 5:00a.m.” If I have some sort of sleep device, then that sleep information is synced. Then maybe I can ask, “What should I do today to keep my energy levels high?” And maybe it would give me back some insight like “Don’t eat a sugar-laden breakfast. It’s going to make you crash. Eat these sorts of things, get outside and be in the sun. Go exercise.”

Great. And as I go through my day, maybe then I eat something at lunch and my stomach really hurts. So I can say, “I ate this for lunch today and my stomach is in such pain. Is there any reason that it could be something that I ate?” And maybe it could look at my genetic predisposition, maybe my food allergy test or something like that, and yep, there it is. You ate raw egg yolks, and they don’t go well with you.

Another example is when I go to the gym and want to work out my legs. I could ask it to write a workout program for me today that emphasizes leg day. That’s how I’m kind of envisioning it. I want it to be useful in a lot of moments of the day.

It could also be a place where you say things that you’ve done. So, hey, I just drank two gallons of water today, or whatever. And it will start aggregating that information. So it could be as much as somebody wants it to be or as little as they want it to be.

We’ll have to see. I’m almost envisioning myself using it in weird ways — like, talk to me like you’re a drill sergeant. Tell me that I have to go to bed on time. So yeah. That’s hilarious.

And so it’s pulling information from more than just health data. It’s combining health data with lifestyle data.

The JennyCo app will release later this summer. For more information about JennyCo, check out our website and follow us on socials:

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