And since then, they’ve actually created a Master’s degree specifically in machine learning for signal processing. Pictured above are, from left to right: Nick Glattard, co-founder and chief technical officer; Sam Rusk, co-founder and president; Brock Hensen, chief operating officer; and Chris Fernandez, co-founder and CEO, along with Murph, the office dog. There’s two parts to that answer. And it can contain 20 sensors or more. And that really kind of helped us to accelerate that fundraise process. Chris: You too, Meb. And so, part of the transferability as a resource allocation, how many people can we fork off our core businesses are working on this other stuff? Well, fortunately, they wanted to use deep learning, which is really powerful. There are actually a lot of different factors or reasons why a patient could have sleep apnea. Meb: How portable is that? And, you know, of course, as we said with the current kind of compliance levels on CPAP, we’re really trying to support pharma companies and medical device companies in bringing forward that next generation of more patient-friendly, more comfortable treatment options that folks have more to choose from. Nobody has cracked the nut. And we’ve been ramping up our webinars as well. Today’s episode, we drink some Red Bulls and talk all things sleep. So it’s not gonna be ready soon.” We were able to go out and sell the vision. You know, we transitioned from undergrad to grad. Chris: It’s really simple. When we are… This is July 1st, we’re recording this, it seems like you’re a music fan. And so, the clinics that were already well-equipped and at scale in-home testing, many of them [inaudible 00:27:08]. We said, “All right, we got to YC,” set sail from there. The first part is, you know when you know. We can do all this.” And so there’s a lot of cool content we’re putting out through our website. It was, “This is our vision. ABOUT THE AUTHOR. And I think that he saw that we had a level of determination that represented, “We’re gonna do this, whether or not he helped us and we’re gonna bang our heads a lot in the process.” And so I think that he convinced himself that he needed to save us some pain and became one of our earliest kind of mentors and advisors. That point we still had three people. And just to prove that our product worked, we needed several hundred thousand dollars. Really at that first stage was validating the market and validating the demand through selling the vision. We have a proliferation. “We know that not everyone has access to quality and affordable treatment, and have the conviction that our technology can help bridge that gap. So they’re not harassing you, elbowing you in the head, snoring and then by morning time, it comes back together. And then I think we’re workaholics, we’re like, “What do we do?” We just started working again. Don’t you know better than we?” That was a lesson. The day that we got back, it felt like kind of putting out feelers in the fall of 2015. But I think that there’s a lot of interesting stuff happening in the music space right now. Chris: We ultimately got our FDA 510K clearance to aid clinicians in diagnosing sleep apnea and other sleep disorders by automating the analysis of the physiologic waveform data that came from sleep studies. I could keep going. And, you know, we got to it. They don’t wanna sleep, you know, in a hospital or in a clinic and have people kind of supervising them. So we stuck around, found the university to be an amazing sort of launchpad for startups, I would recommend that to anybody as possibly the best place to start a company. What does that look like? Chris Fernandez Co-founder & CEO at EnsoData. And we saw an opportunity by applying waveforms to dramatically improve patient access, patient outcomes, the in-patient provider experience and the affordability of healthcare. Listeners, you heard him, shoot over your resume as you hear this show. And within AI, there were incredible breakthroughs over the last several years in image recognition and computer vision, and natural language processing, and speech translation, and in a variety of other applications of AI. And we’re seeing a lot of the growth in the sleep medicine industry, occurring in that push of patient care into the home setting in the home environment, both through home testing devices, through cloud-connected see pap devices, and through telehealth. You know, it’s a little hard, but one of the most effective ways to lose 10% of your body weight, in many cases, that has a meaningful impact on the severity of the sleep apnea but we lost as hard. You know, in the first half of college, let’s call it, I was frequently staying up until 2:00 am to try to study for tests, stay on top of deadlines and projects. Meb: You got any favorites I can download Spotify later today? We look forward to providing you with even more cutting-edge market research, as Topio Networks. It’s been a whirlwind past few months for EnsoData.. After completing gener8tor’s gBeta accelerator program this summer, the Madison-based tech startup that scores sleep announced recently that it completed Y Combinator’s inaugural Fellowship program. Madison, WI. Chris has an MS in Biomedical Engineering from the University of Wisconsin-Madison, and brings more than three years of advanced algorithms and big data research experience to EnsoData. Is there also any sort of at-home sort of diagnostic or is there any sort of kits on the horizon where people could self-test at all or what’s the lay of the land for sleep clinic base, in general? Where do they go? We wanna go wireless. And there was, like, one project left. Anything you can talk about? Which one are we gonna sell on? I think the great thing about wearables is, you know, sleep is really not just a thing for patients. I’m a huge music fan, both listening to it, live, and recorded, and making it. And to my surprise, 750 people showed up. There’s a lot of, I’m gonna run out of money, all that stuff. We have some really cool newsletters. Medicare and Medicaid reimbursements, it’s only one third the cost to do it at home, as it would be in clinic setting. Well, as we start to wind down, I got a couple of fun questions, but anything in particular you think is on your brain, you’re excited about. And from our perspective, we as a field should put the right practices in place so that this pandemic or the inevitable next pandemic, whenever that does happen, is not something that causes patients to lose access to healthcare because it simply doesn’t need to . What have you learned about sleep in your own life for over the past 10 years? So look out for those. Chris: I can share the single biggest and most important lesson that I’ve learned about sleep personally in my life, and I learned that lesson during college before we were playing work on sleep, back, if you pulled me out of the time machine and you asked me if I thought that sleep is gonna be fine. What’s your hacks? Chris Fernandez. We called every single sleep clinic in the Midwest to do that, talked to them on the phone. How’d you sleep last night? Here’s the kind of the bunk where we do all this work. So he said, “When are we gonna pull the plug?” “We’re gonna pull the plug when I actually can’t even buy a bus ticket home,” call my parents and say, “All right, it’s over. That’s an area that we’re really excited about. He is currently available to hire for short form projects on a freelance basis. At an event last August featuring pitches from startups, EnsoData co-founder Chris Fernandez told audience members that … It’s more comfortable. So, I’ve spent many an evening at Red Rocks. How far are we away from a much more sort of simple test or even a wearable in able to detect and diagnose something like sleep apnea? I think the harder question though is, every AI company, typically in healthcare, has to solve a data chicken or egg problem, which is you need data to build a product that creates value. It’s a circus, absolute circus, but it’s a circus where everybody’s all at one time. Chris: We got 15 now. I think there’s an increasing awareness, you know, in the field that sleep apnea is not just sleep apnea. So use the free trial model. And now we live in a world with, you know, more data than we conceived that we could even store a decade ago. And we then hired our COO, Brock from Epic systems. So listeners, if you wanna do, like, a 10-foot meetup, shoot me a message, and we can grab a beer somewhere. So I think that we feel really, really lucky to have been able to, you know, secure this financing during the pandemic, during tremendous economic uncertainty. Watch the on-demand webinar featuring William Hevener RPSGT, BetterNight Clinical Initiatives Manager, and Chris Fernandez, EnsoData CEO, for an overview of the latest research on applying AI to predict CPAP usage. Now, those time-savings are even easier to realize, with our ‘zero-install’ AI scoring provided directly within existing LabRetriever cloud workflows and available to every user,” said Chris Fernandez, CEO and Co-founder of EnsoData. Sam Rusk Founder. Together, along with my co-founders Chris Fernandez and Nick Glattard, we founded EnsoData, the company using groundbreaking AI to simplify the process of analyzing the human body to diagnose health conditions, starting with sleep. And we went to it. I’m a cold guy and held out, I haven’t bought one yet. And then the day after New Year’s, we met with an amazing digital health investment firm, HealthX Ventures, Mark Bakken there. things people say are impossible, but sort of just going for it is I think is a really big part of the battle. We put together a team of very experienced advisors and consultants to help kind of guide us and point us in the right direction. About. To do this in healthcare, I think it’s really rewarding. But I’m cheering for you guys. On those sensors, they are reading these this data in 32nd pages. Chris: Pre-answer data, you know, more than 80%, 85% of the sleep clinics out there today in 2020, manually by hand score all of their sleep studies. Courtesy of EnsoData. As it turns out, we also loved working together and wanted to turn these passions into something tangible. You mentioned with the EKG, and the pulse oximeter, and everything. And, you know, we look at AI as really bringing those technologies to life. You have an excuse to not know anything. And during COVID, many sleep labs that had a discontinuity in service. But what we end up with is this really is the most widely available data for diagnosing and for treating patients. Were you still in school at this point? You’ve identified it works, you get the FDA approval, and then kind of what’s the next sort of step in y’all’s evolution? We were able to bootstrap enough data into our ecosystem to be able to build the product, to be able to validate it clinically, and ultimately, kind of take that to market. Chris: The entire thing, really. But initially, the go-to-market, the three of us sat down and were like, “All right, now we can sell it. You know, there are more advanced versions of PAP therapy, as those conditions get more severe and complex. And using that capacity to focus on wanting to continuing to expand our partnerships with our core customers and others in the industry, as well as bringing new products to market that are really going to change things. We went through… So I guess after that, we were sort of at a crossroads between staying in graduate school or do we cut and run. Thanks so much for joining us today. What are we gonna do with it?” And we said, “I don’t know. EnsoData, whose software uses machine learning algorithms to help clinicians score sleep data and diagnose patients with sleep apnea and other … And on each page, they’re using visual pattern recognition and perceptual reasoning to identify in the circle and to annotate, and to mark, and to tag different kinds of physiologic patterns. Tyne & Wear. Fernandez used his expertise to Please review us on iTunes and subscribe to the show. “Sleep apnea is a condition that plagues nearly one billion people worldwide, and we’re uniquely positioned to address this massive problem,” says Chris Fernandez, CEO of EnsoData, in a release. What they ended up doing was, they took the image net dataset, which is, you know, more than 14 million images, that include more than 20,000 different human-annotated objects, like cats, and trees, and airplanes, and dogs, and stuff like that. Everybody who’s tried it has had a horrible experience, flatly they don’t believe it back in 2015. People have been trying to automate this for the last 20 or 30 years. in Biomedical Engineering from UW-Madison and brings more than five years of artificial intelligence and big data research experience to EnsoData. Chris: It was interesting to go around. E132 Chris Fernandez, CEO and co-founder at EnsoData Today's guest is Chris Fernandez, CEO and co-founder at EnsoData. So it’s more affordable. We ended up having, I wanna say, audio meetings in three days or four days. If you love the show, if you hate it, shoot us firstname.lastname@example.org. And then it’s been scaling since then. In the ’90s, during the 2000s, we saw the proliferation of smartphone technology and cloud computing that produced a massive deluge of data that had to be dealt with. Biomedical engineering is incredibly broad. It’s arbitrary in length. MEB FABER is co-founder and the Chief Investment Officer of Cambria Investment Management, and author of multiple books. Please enjoy this episode with EnsoData’s, Chris Fernandez. It’s really a thing for all of us. I studied less, I slept more. Ensodata’s AI and machine learning powered signal analysis platform enables clinicians to automate complex and time consuming data interpretation tasks. Meb: So what do you guys gonna spend all that money on? All opinions expressed by podcast participants are solely their own opinions and do not reflect the opinion of Cambria Investment Management or its affiliates. Today's guest is Chris Fernandez, CEO and co-founder at EnsoData. Founder EnsoData • Worked at @ Innovative Signal Analysis, @ Hitachi Global Storage Technologies • Studied at @ University Of Wisconsin Madison. Chris Fernandez Senior Project Manager - Azure Cloud Infrastructure / 0365. So that was really a crossroads. Let’s do a business that we can take all the way to market without any capital because that’s the situation that we’re in. Summary: In episode 239 we welcome our guest, Chris Fernandez, co-founder and CEO of EnsoData. The genesis of EnsoData kind of came out of a course called biomedical engineering student design. And there’s opportunity to make a huge impact in those medical specialities. It includes two kinds of airflow to be able to measure breathing and breathing frequency. That’s a separate story. You can weather that storm. You got anything you’re listening to? And so, decided to focus on AI, took all the AI classes they had. And so, I played this game, if we wanna try to find the specialty of medicine that doesn’t use waveforms for something important, I’m able to find one yet. It is a way to solve increasingly complex problems that get into the realm of tasks that require expert human level decision-making, problem-solving, reasoning and expertise to be able to do effectively. Excited to be here. And so I think that’s just an example of some of the categories and tools that are available in machine learning and AI that aim to address that problem directly. In episode 239 we welcome our guest, Chris Fernandez, co-founder and CEO of EnsoData. The lesson was we need a killer application. It was very clear to us as soon as we found it, we set out. So we had somebody that was phenomenally experienced in medicine, venture capital, startups, and kind of running a business. Curated profile of Chris Fernandez, Co-founder & CEO, EnsoData including career history, news and intelligence, portfolio companies and investments. So you want to create the next big thing in AI. I think that’s the art and the science. We wanna use this powerful machine learning. The things that you can do, like, I think pretty much everybody is capable of doing things that are probably way beyond what they think they’re capable of, things that seem impossible. Meb: I used to go to the JP Morgan conference every year so I actually started out as a biotech equity analyst in the depths of the last big internet biotech busts. About My name is Chris Fernandez, and I'm Co-founder & CEO at EnsoData. I got much better grades, I was much more productive and I was much happier. You guys did an early raise and you guys just raised another big slug. And so, you know, even to something like an image, waveform data is heavily unstructured. Funded over 2 rounds. Like, what would I be able to do? What’s next? Even at the starting point, we were in the 100 gig range, and then quickly, we got into the hundred terabyte range for that. Meb: So you guys have this thesis, and where did you kind of start next with acquiring the data or starting to build, you know, going through the scientific method, say, “Can we apply these tools, specific domain?” Would this have been about what year? And it was simple. We were ready to go, kind of do the FDA thing and that required capital. Anything come to mind, good, bad in between? All three EnsoData employees have an intensive background in handling big data. Cambria Fund Profile Series – Cambria Asset Allocation ETFs (GAA) (GMOM) (TRTY). And I think there’s been a lot of evolution in the public, you know, just with all the dialogue there and all the news on artificial intelligence, that’s been very influential in sort of the evolution of adoption in a clinician’s mindsets. We were able to raise so we close twice as much money as we set out to raise we closed $9 million, and then included Zetta Venture Partners, one of the best AI-focused kind of seed-stage funds that’s out there with great expertise in healthcare. I think there’s a lot of really talented people out there that just purely do the external environment of COVID, have been put into place where they’re either out looking for work or the place that they’re working, it’s become, you know, a little bit less enjoyable. If you want to support this and see if we can even have a shot at making it happen, kind of that’s what we need to do. But there are machine learning and AI methods that we are and have been developing that directly solve that problem of transferability. So that was the approach that we took. We talk about analyzing sleep data, solving hard data analysis problems with AI, and bootstrapping enough data into data ecosystem to build and validate the product. In order to launch a hardware business, especially an FDA regulated hardware business, that requires upfront capital. We had enough data to build the product. We love to read the reviews. I graduated a few years before you. SleepScore Ventures was also in the round, one of the first sleep-focused venture capital funds that has a lot of amazing strategic relationships, and others, you know, including Dreamit Ventures, a VC fund associated with one of the accelerators that we did, which is awesome. In both 2019 and 2018, EnsoData quadrupled the size of its customer base, according to Fernandez. See the complete profile on LinkedIn and discover Chris’ connections and jobs at similar companies. Chris: That was the Dick’s Sporting Goods arena that time. You know, leaders IN the medical device world, the pharma world, VC, you know, plays big and healthcare, hedge funds and other institutional investors. Like, I guess we’re gonna do wireless pulse oximetry. Tyne & Wear. Chris Fernandez is a filmmaker and graphic designer, currently studying BA Film at the University of Westminster in London. www.vbprofiles.com is now www.topionetworks.com. You take courses in chemistry, and physics, and biology, and statistics, and mathematics, and every other engineering discipline, from mechanical engineering, to electrical engineering, computer engineering. We broke the internet, or a part of it in the process. And I want more people to have that up too. I would say I learned a lot of lessons. Our flagship product, EnsoSleep, empowers clinicians with AI scoring and analysis.With the help of AI, clinicians are spending more time on the most satisfying and rewarding part of … Often that would turn into 4:00 am, sometimes it would turn into an all-nighter. And so that was an early signal that this was a good idea. I got heavily schooled in at the end of it because my VME masters ended up being mine computer science classes, right? I know one group of artists I was following, put on a seven-week virtual Music Festival, and they had shows, like, all day, every day for seven weeks. Meb: This is how this product that seems obvious in a lot of what you’re doing with the sort of just blocking and tackling of scaling, and partnering, and growing revenue, that’s all going on. And in the typical voluntary exchange of value that people like, you don’t have anything you can give people. Chris: The thing I would say is I think it’s so important for startup companies to be driven by real purpose and mission. So on average, that takes about an hour or an hour for an in-lab sleep study. Meb: And walk us through kind of how the clinicians approached it, either before or without your assistance. Chris Fernandez, EnsoData Businesses that offer HST logistics have been popular. They have broad expertise in the healthcare industry in these different segments. We made two offers last week. And so it’s excellent. And main drivers in that adoption of home testing are, you know, a lot of patients feels more comfortable. Summary: In episode 239 we welcome our guest, Chris Fernandez, co-founder and CEO of EnsoData. Total raised $2M. Subscribe to the Crunchbase Daily. We started going. Spoke Intelligence is home of VB Profiles. Since inception, it has seen 100 percent customer retention, he said. So, it’s dozens of sensors, dozens of different types of complex events. 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