About
We're building the data layer healthcare has been missing.
Verism Health is a small, early team building trustworthy synthetic healthcare data — every domain, every line of business, rendered from synthetic patient archetypes — so the people who could build healthcare's future don't have to wait years for access to start. Medicare Advantage is live today; the rest is on the way.
Our vision
The future of healthcare is bottlenecked by who can get the data.
Healthcare's transition to value-based care, to AI, and to better outcomes runs on data — claims, eligibility, labs, quality, revenue. But the real thing is locked behind privacy law, licensing, and cost — so the people who could build that future are stuck waiting.
Startups can't prototype, researchers can't test a hypothesis, analysts and consultants can't benchmark — not because the ideas aren't there, but because the data isn't reachable. The friction is the bottleneck, and it's only gotten worse.
Verism exists to put trustworthy synthetic data in everyone's hands — data credible enough to build on, priced so anyone can start — and accelerate that transition. We think the next wave of healthcare progress comes from many more people being able to build, not a few institutions holding the keys.
Who we are
A small team with deep, overlapping backgrounds.
We're early, and we're small — and we think that's worth being honest about. We're not ready to put names on a page yet, so here's the more useful thing: the disciplines in the room, and what each one brings to the data.
We calibrate to the benchmarks an actuary would check first — risk scores, MLR, utilization, and trend.
We design for the workflows the data will live in: risk models, backtests, and reproducible pipelines.
We know how claims actually move between plans and providers — coding, adjustments, lag, and benefit phases.
We model the things VBC teams obsess over — attribution, episodes, and population risk over time.
We keep the data grounded in how care is delivered and recorded, not just how it looks on a spreadsheet.
We make the output linked, longitudinal, and clean enough to load and join without a fight.
We generate clinically-coherent synthetic populations — people and journeys first, then every record they produce.
No two of these live in separate silos here — the actuarial view and the AI view argue with each other on every release, and the data is better for it.
What we believe
Four principles we hold ourselves to.
Fidelity is earned, not claimed.
We treat fidelity like an eval and publish the score. Every release ships a credibility audit against published benchmarks — with citations. If a number drifts, you see it before you buy.
We're clear about what's synthetic.
No overclaiming. We're explicit about what's calibrated today versus what's on the roadmap, and about where synthetic data is the right tool — and where it isn't.
Access over gatekeeping.
Real claims are locked behind privacy law, licensing, and six-figure cost. We price and license so individuals and small teams can actually use this — not just the institutions that already could.
Built by people who've lived the data problem.
We've sat on every side of this — calibrating models, waiting on data deals, and shipping without the data we needed. We're building the thing we kept wishing existed.
Why now
The timing is the opportunity.
AI has finally crossed the threshold where you can generate clinically-coherent synthetic populations at real quality — people and journeys that hold together, not just plausible-looking rows. That wasn't true a few years ago.
Meanwhile, healthcare's data-access bottleneck has only tightened. The gap between who needs healthcare data and who can get it keeps widening.
A new capability meeting a worsening problem — that's the moment to build. So we are.
Get in touch
We'd love to hear from you.
We're especially keen for feedback from actuaries, data scientists, and builders — the people who'll poke holes in the data and tell us where it falls short. Reach us at hello@verisimhealth.com.