Upload your closed files. See what the platform would have caught, and when. BETA
Closed-File Backtesting Lab runs the platform against your own already-closed files and shows, retrospectively, where missing records, severity signals, benchmark variances, or documentation gaps would have surfaced, and how much earlier. It's a demonstration built entirely on files you already have, describing what the platform would have flagged, not a forecast.
Run your own closed files through the platform, safely.
Upload files you've already closed — no open claim, no live decision at stake. The platform reads them exactly as it would a new file, then shows what it would have surfaced along the way, using an outcome you already know.
See where a signal would have surfaced, and how much earlier.
The lab checks for the same things Missing Records Identification and Reserve Benchmark Radar already flag on live cases — then places each flag against the point in the file where it would have appeared, compared with when it was actually caught.
Proof before you commit, not a promise about tomorrow.
A backtest is a rearview mirror: it describes what the platform would have flagged on a file whose ending you already know. It's evidence you can inspect before deciding to use the platform on your open cases — not a claim about how any specific future file will go.
A rearview mirror, not a crystal ball.
Closed-File Backtesting Lab is a retrospective demonstration using your own historical files. Results describe what the platform would have flagged — missing records, severity drivers, benchmark variances, documentation gaps — on a file whose outcome you already know.
That is never presented as a guarantee of future results. A backtest tells you what would have surfaced then; it does not predict what will happen on your next open claim.
From closed files to a retrospective read.
Three steps, built entirely on files you already know the ending to.
Any case you've already closed, handled under the same BAA as an active file.
Every detection the platform runs on live cases runs the same way here.
Compare each flag against what actually happened in the file.
Who runs a backtest before committing.
Anyone evaluating the platform against a real track record, using files they already trust.
See what closed claims would have flagged before rolling out broadly.
For carriersTest the platform against a client's own closed book first.
For TPAsRun a closed file to see what a chronology would have surfaced.
For law firmsCheck past reports against what the platform would have flagged.
For IME orgsClosed-File Backtesting Lab, answered.
It's a way to run the platform against files you've already closed and see, retrospectively, where missing records, severity signals, benchmark variances, or documentation gaps would have surfaced — and roughly how much earlier than they actually did. It's proof built entirely from your own history, before you commit to anything.
No. This is a retrospective demonstration using your own historical files. Results describe what the platform would have flagged on files whose outcome you already know — they are not a guarantee, forecast, or prediction of what will happen on a new, open claim.
Any closed case file you already have on hand — the same document types the platform reads elsewhere: clinical notes, imaging, billing, legal documents, and correspondence. Files are handled under our BAA the same as any active case.
Yes, in beta. Closed-File Backtesting Lab is live and testable now on your own closed files; we're refining it hands-on with early customers, and if your use case is a good fit we'll work with you directly.
The same signals it surfaces on live cases: missing records, severity drivers, benchmark variances against comparable cases, and documentation gaps — each one timestamped to when it would have appeared in the file, not when it was actually caught.
Related capabilities.
The live-case detection this lab replays retrospectively.
Another signal a backtest can check against closed files.
The fingerprint layer a backtest can also compile and compare.
Value ranges a backtest can compare against your closed cases.
Run it on a file you already know the ending to.
Join the beta and backtest one of your own closed files. Handled under our BAA; never used to train a model.