About
We spent 7 years inside the payer data mess. Then we found the problem nobody was solving.
At Diameter Health, we built the clinical data normalization infrastructure that Availity acquired. FHIR pipelines, payer integrations, data systems for the country's largest payers. Across all of it, the same problem kept surfacing: after a roster update goes out, nobody can prove what happened.
Why it matters
Rota exists because every credentialing team we talked to described the same experience: submit the file, then wait. No confirmation. No tracking. No proof.
We’ve seen this problem from the inside
Before Rota, we spent 7 years at Diameter Health building the clinical data normalization infrastructure that Availity acquired. We built FHIR pipelines, payer integrations, and data systems for the country’s largest payers. That’s where we saw the roster problem up close — and realized nobody was solving it for providers.
People keep telling us this can’t be done
Too many payers. Too many formats. Too many edge cases. We heard the same thing about clinical data normalization. It took 7 years, but Diameter Health solved it and got acquired. Roster reconciliation is the same kind of problem: messy, payer-specific, and worth solving because everyone else decided it was impossible.
The moment we knew
“If you can solve this problem, you will be king of the world.” That’s what Kym Everett at Octave told us on a demo call before pulling in extra team members. Only 2 out of roughly 10 demos have resulted in a flat no. The product resonates because the problem is universal.
The point of view
People say this can't be automated. We've heard that before.
Too many payers. Too many formats. Too many edge cases. We heard the same thing about clinical data normalization at Diameter Health. Spent 7 years solving it. Got acquired. Roster reconciliation is the same kind of problem: messy, payer-specific, and worth solving because everyone else decided it was impossible.
Background
7 years at Diameter Health, acquired by Availity. Built clinical data normalization and FHIR infrastructure for major payers. The roster problem was hiding in plain sight.
Point of view
People say this can’t be automated. We’ve heard that before. Different problem, same skepticism, same answer: it can.
How we sell
Design partnership first. $15K over 6 months, credited to Year 1. We earn the business or you’ve spent less than an FTE costs in a month.
Design partnership
You're not betting on us. You're testing us.
$15K over six months. You co-build the product with us on your data, with your payers. If we earn the business, it's credited to Year 1. If we don't, you've spent less than one FTE costs in a month.
Why this motion works
Smaller upfront commitment
Less than the monthly cost of one full-time manual workaround.
Shared product direction
The initial build reflects the real workflow instead of a generic roadmap.
Trust earned with proof
The relationship starts with visible progress, not a long promise deck.