Dave King

I’m excited to share that Angle Health, founded by former Palantir Technologies execs Tylon (Ty) W. and Anirban Gangopadhyay, has announced an oversubscribed Series B bringing total funding to nearly $200M. I’m proud to be an early investor and to have led this competitive round with the amazing team at Portage. Why we keep leaning in: - 26x revenue growth since the Series A - Serving 3,000+ employers across 44 states - 80%+ renewal rates Angle Health is rebuilding the healthcare benefits infrastructure for SMBs, who employ nearly half of America’s workforce but have historically been shut out of enterprise-grade coverage. Their AI-native platform helps predict risk and deliver better care at a sustainable cost. This is exactly the kind of product-driven, AI-native company we’re proud to support at Mighty Capital.

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Longevity isn’t about living longer at any cost, it’s about living better for longer. Yet, the gap between healthspan and lifespan in the US is the highest in the world and has grown to over 12 years. This gap is 29% higher than the global average and means that, in general, we are living over a decade of life in a diseased state. I spend a lot of time thinking about how this shift from reactive to proactive care is evolving and what emerging strategies from the elite performance world can be applied to accelerate this transition. The focus becomes less about how long can we live, and more on how long can we maintain strength, cognition, metabolic health, and independence? I’m really looking forward to this conversation with three outstanding people operating in this space. Hope you can join us live, but if not, be sure to register to receive a recording of our conversation. Registration link in comments.

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AI and Health Tech in Focus   AI Tool Used to Help Predict Postpartum Depression Researchers at Harvard University’s Massachusetts General Hospital have developed an AI tool that helps predict the risk of postpartum depression (PPD) before discharge from the hospital. Approximately 15% of women suffer from PPD which is responsible for suicide and self-harm and about 10% of all pregnancy related deaths. The researchers trained the algorithm based on about 29,000 mothers using electronic health records data including medical history, medication data, age, race, ethnicity, education, marital status, insurance type, number of births, mode of delivery, number of prenatal visits, length of delivery stay as well as an existing but more modest predictability score for PPD called EPDS. Incorporating this data resulted in an ability to predict more than three times the baseline risk of PPD. Using this model can help care teams identify those at risk for PPD and provide resources and support services such as referral to social workers, psychotherapy, psychiatry or medical therapy before they have an impact on the mother, child and their families. VC Investors are always adjusting their "Play Book" with a variety of options for investing. Mikal Ventures is one of those alternatives, offering curated solutions to real world problems. Reach out if you have questions on how we can be of assistance and bookmark https://mikalventures.com/ for additional insights and information.

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If you’re building a health tech startup, here’s a useful perspective from the accelerator side. At ViVE, I spoke with Keith Camhi, Managing Director of the Techstars Healthcare Accelerator powered by Permanente Medicine Mid-Atlantic States. The program invests in early-stage startups and helps founders run pilots with physicians in the Kaiser Permanente ecosystem. Some interesting takeaways: • Techstars still prioritizes “Team, team, team” above everything else; • Founders in the program are interviewed by physicians before acceptance; • The goal isn’t just mentorship — it’s getting real pilots with providers; • AI startups dominate applications, but the focus remains on real clinical problems. Applications for the next cohort open soon, so founders may want to keep an eye on it. Short interview from #ViVE 👇 🎥 Watch here: https://lnkd.in/gNN_5628 #Vive2026 #digitalhealthinsideout #health2tech #digitalhealth

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Talking to users and thoughtfully integrating their needs and wants was woven through everything we did at IDEO—threaded through every prototype and product decision. Reading my colleagues Joanne and Leo's latest work brought that to mind. They describe a future where research runs continuously, with AI agents recruiting participants and instantly surfacing insights. Synthetic personas, carefully trained on consumer signals, mirror human behavior closely enough to extend live studies and compress timelines from weeks to hours. Today user research mostly runs in fits and starts, prohibitively expensive and locked away in dedicated project cycles when it could be a constant companion, seamlessly integrated into the product development process. Joanne and Leo lay out the full vision here: https://lnkd.in/gEUBSG_J

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Nice quote from one of our Partners Andrew Brackin in TechCrunch: “This was one of the biggest use cases of ChatGPT,” Andrew Brackin, a partner at Gradient who invests in health tech, told TechCrunch. “So it makes a lot of sense that they would want to build a more kind of private, secure, optimized version of ChatGPT for these healthcare questions.” https://lnkd.in/gY3TV5VD

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