We've spent our careers building data systems. Now we're pointing them at healthcare.
A small team that's helped build data foundations for large enterprises. We're applying what we learned to a problem that quietly costs providers billions — revenue that leaks out before anyone notices.
We think a lot of software fails its users,
then quietly blames them for it.
When a user fails, that's on us
We treat a confusing screen as a design defect, not a training problem. The goal is software that feels obvious enough to need no manual.
Less, not more
Healthcare finance teams are already buried in dashboards. We try to remove cognitive load — not add another tab to learn.
Fit the work that exists
The best tool is the one you barely notice. We build to slot into the workflows your teams already run, and to hand leverage back to the provider.
We're a small team applying what we learned building enterprise data systems to one stubborn problem: revenue that leaks out of healthcare before anyone can act on it. We'd rather earn trust through radical simplicity than impress anyone with complexity.
An estimated $18B in provider revenue leaks out each year. We're focused on the part we can actually help recover.
Houshang Livian
Houshang leads product and design. He's spent his career on what he calls invisible design — building systems that feel natural enough to need no training, and blending automated intelligence with human judgment rather than replacing it.
- Led UX for Clearwell, the e-discovery platform Symantec acquired for $390M
- Helped reshape the product culture at Hortonworks ahead of its merger with Cloudera
- As a Senior Director at Oracle, unified 30+ separate healthcare applications
- Holds a 2016 utility patent in machine learning for automated document review and quality control
Andrew Grande
Andrew leads engineering. He's spent two decades building data infrastructure at the scale where reliability, interoperability, and security stop being optional — and brings an integration-first approach to bridging modern AI with legacy healthcare data.
- Founding architect at MuleSoft, acquired for $6.5B
- Former VP of Big Data at JPMorgan Chase, supporting a $2.5T portfolio
- Ran Google Cloud's real-time analytics business ($450M P&L)
- Led the commercial launch of DeepMind's generative AI portfolio — Imagen, Veo, and Lyra
Why we think we're a fit for this
We won't pretend to have it all figured out. But this problem rewards a specific mix of skills, and it happens to be the one we've spent our careers building.
Founder–market fit, honestly
Elite enterprise data engineering on one side, real empathy for the healthcare finance user on the other. This problem needs both, and we have both.
Contracts that can act
We turn static PDF contracts into what we call Living Logic — terms your systems can actually read, check, and enforce.
Built to keep up with payers
Our Temporal Knowledge Graph tracks the roughly 100,000 policy changes payers make each year — the same changes their denial algorithms run on.
The defense layer that was missing
Providers have never had an autonomous layer watching every claim against every contract. Quietly, that's the gap we're built to fill.
Want to see whether we can help?
Bring your payer contracts and claims data. We'll walk through where the leverage is for your organization — no pressure either way.
Request a demo