It drills on synthetic claims so its accuracy is proven before it reads a real one.
The swarm generates realistic remittance files, runs them through the parsing engine, and grades itself against the answer key, around the clock. The same engine that aces the simulator is the one that will read a real client 835 the day they connect it.
It drills all night, then it drills again.
Every synthetic claim, every parser run, every scored answer feeds the same learning core that runs the whole swarm. The range never closes and the score only climbs.
Think of a flight simulator for the parsing engine. It drills clean payments, denials, underpayments, and bundled claims over and over until it never misses a code or a dollar. By the time a real file arrives, it has already seen ten thousand like it.
THE WALL is structural, not a promise: synthetic data trains the pipeline, never the model, and never touches a real account. The engine has to earn its way to live data by acing the range first.
Generate
The fleet synthesizes labeled X12 835 remittances grounded in real public rate distributions, every one stamped synthetic.
Parse
The deterministic parser, the exact code that will read real files, extracts every code, charge, payment, and adjustment.
Grade
Output is scored against the known answer key. Real measured accuracy, every cycle. A faked number is a defect.
One machine. Many fronts.
Learning Layer
The live demand map, building itself out of real usage.
Open →Market ReconMarket Recon
The whole market, read, scored and ranked in real time.
Open →Signal IntelSignal Intel
Who needs us most, re-ranked continuously across the board.
Open →