Fleet E · The Training Range
LIVE · FEEDING THE ORACLE

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.

Training Range DRILLING --:--:-- UTC
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Synthetic runs
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Parse accuracy
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Claim lines parsed
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Failure modes drilled
Live aggregate telemetry · refreshes continuously · no provider identities, no protected data, ever
The oracle uplink

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.

Billionsfederally filed payer rates
314M+contracted-rate records
Every NPIin America · all 50 states
Mythos · Fable 5frontier intelligence
What it actually does
In plain terms

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 vision view

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.

01

Generate

The fleet synthesizes labeled X12 835 remittances grounded in real public rate distributions, every one stamped synthetic.

02

Parse

The deterministic parser, the exact code that will read real files, extracts every code, charge, payment, and adjustment.

03

Grade

Output is scored against the known answer key. Real measured accuracy, every cycle. A faked number is a defect.