My mom lost her life to breast cancer when I was 13, but there's a world where she didn't The clinical knowledge required to save her existed somewhere, but two doctors dismissed her case for a year before she got diagnosed Over time, I realized they weren't evil or incompetent They reasoned in good faith from the cases they had personally seen in their careers. This is the unfortunate truth about modern medicine. The care you receive based on a lottery of which clinician happens to walk into your exam room. A doctor gets better over 30 years of practice. When they retire or leave the clinic, their clinical intuition leaves with them A hospital can treat 10,000,000 patients and be no smarter on the 10,000,001st than it was on day one. Healthcare doesn't fail because clinicians do not care, but because the system has no institutional memory. Every patient starts from scratch. After what happened with my mom, I made it my mission to make sure no one else has to go through this We're building Health World Models that provide a unified foundation for clinical intelligence across clinicians and AI Every act of care compounding across the entire network If this work matters to you, DM me Big announcement coming soon

All these simulation companies raising 100s of millions to predict human behavior… and then use it to help Pepsi do market research... what a waste

Life update: I just got engaged! Here's what it taught me about B2B SaaS👇

Check out the @databricks case study on how @concurrencehq runs clinical AI at trillion-token scale! databricks.com/blog/how-conc…

Everyone thought I was destined to fail. The first company I built was selling AI clones to coaches, sourcing revenue from a $20/month Slack community. People congratulated me when we hit $1M ARR But the truth is, we were burning capital to retain consumers The business model was unsustainable with a small TAM When I started building in healthcare, one enterprise healthcare deal arrived that doubled our revenue At that point, every advisor told me to keep the customers and revenue from AI cloning to fund the shift into enterprise I told them no. I knew dragging the old business along would ruin the new one So I churned 100% of our customers that very afternoon. I refunded every single customer so our engineering team could focus strictly on building AI infrastructure for healthcare Within the same year, we rebuilt from no revenue to $2M ARR with zero churn. Moral of the story: Don’t waste time saving a dead business. Bury it fast and move on to something better.

10,000,000 patients are already running on @concurrencehq. we’ve raised $24M from General Catalyst, Madrona, and Optum Ventures. we have more demand from major health systems and enterprise orgs than our current team can physically serve. I’ll give you $10k if you help me find my next hire roles: > head of engineering you will scale our infrastructure behind dozens of live clinical deployments. you will build the core engineering org training our Health World Model. clinical-grade reliability is the baseline here, not an afterthought. > enterprise sellers you will close health systems, payers, governments, and massive provider groups. our inbound pipeline has completely outpaced our capacity to close deals. > how we operate high agency, low ego, and direct communication. DM me if you know someone exceptional.

What do you get when you put a Stanford cancer surgeon, a Google DeepMind researcher, the engineering leader behind the world's largest clinical studies, and my co-founder in the same room? Come find out at the @concurrencehq event during SF Tech Week on Wednesday, October 7th! If you're an engineer or researcher curious about healthcare, RSVP here → partiful.com/e/RBjOKviZHlul9…

friday 8am call time 😴 @khookhar

I'm sitting down with @databricks and @nvidia tonight for a fireside chat on building at the intersection of AI and life sciences! New York has the largest concentration of biomedical research institutions in the world and the country's biggest biotech workforce. It's also home to one of the deepest AI ecosystems anywhere. Come hang out if you're building or investing in the middle of that venn diagram :) RSVP via Luma: luma.com/nyc-bgcx

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i made a personal site 👉👈 i didn't want it to feel like a resume or a blog (i already have those things) so i made a place instead claireuhm.com/

pacing the frontier is a gift to slow-moving industries, and healthcare has the most to gain from it

My mom passed away from breast cancer when I was 14 years old. What I remember most is how much work it was just to be sick. Referrals were made and forgotten, every new doctor meant starting over, and my family was left to fill in the gaps because the healthcare system never carried that weight for us. I started Amigo because there are too many stories like mine. We build, train, and deploy AI agents that can safely deliver care across clinical use cases such as intake and triage, chronic care management, and 24/7 virtual care. AI is transforming every industry it touches, but healthcare has a higher bar. There's no room for errors or hallucinations, and definitely no second chances with patient lives. That's the problem no one in this space has solved. We asked ourselves “how do you make AI safe enough to deliver care?” The answer was obvious: clinical agents need to be trained the same way we train doctors. So we pioneered the industry's first Digital Residency program, training every AI agent against millions of simulated patient cases until they reach a 100% safety pass rate. And it’s working. In just the last six months, Amigo agents have completed over 3 million patient encounters around the world with zero safety incidents. I'm proud to announce that Amigo has raised $17M to make healthcare work for everyone, including our $11M Series A led by Madrona with participation from Optum Ventures, General Catalyst, and GSV Ventures. We have a real chance to build something better together. For healthcare organizations thinking about how AI can safely expand the reach of their care teams, I'd love to talk.

NEW: Company Deep Dive — Amigo We sat down with CEO Ali Khokhar to unpack how Amigo is helping health orgs build safe, patient-facing AI agents. They’re redefining trust, simulation, and what it means to actually deploy agentic AI in clinical workflows. Link below! 👇

Seeing another chart review, AI scribe, or voice agent product launch