Health AI · Evidence Lifecycle Console

Every AI/ML device, from clearance to payment— live.

Premarket precedent, post-deployment signals, and reimbursement pathways from live FDA and CMS data — plus the 483 compliance layer underneath. Built for regulatory teams who work the evidence directly.

How it works — live data flowing right now

Open a track

1 · Premarket

Precedent

What evidence FDA actually accepted for devices like yours — parsed 510(k) summaries, source-quoted fields, predicate chains.

devices parsed

predicate edges

2 · Post-deployment

Postmarket

MAUDE trends, recalls, and drift signals for the cleared AI/ML cohort — per device, every signal with a source.

devices snapshotted

drift signals

3 · Payment

Reimbursement

Clearance → code → NTAP → CMS rate → payer policy. Who got paid, how much, through which mechanism.

payment pathways

payer policies

Cross-cutting · every stage

483 Compliance Radar

Recalls, MAUDE, warning letters, and 483 citations scored weekly — with analyst verdicts on which patterns escalate.

alerts queued

verdicts captured

subscribers

Work the queue

Analyst alert queue

Review this week's detected changes, attach the verdict, approve into client digests. The verdict is the product.

Agents & integrators

Every track is also queryable over MCP at constat.dev/api/mcp — 12 tools across the lifecycle, documented on the connect page.

Stay ahead of the scan

Get category alerts in your inbox

client digest · coming soon

The weekly scan already queues new recalls, warning letters, 483 patterns, and score changes for analyst review. The client-facing digest — approved alerts with verdicts, per category — ships next; subscribers get it first.