Post-market AI surveillance · Clinical vendor platform
Detect drift across releases.Prove every inference.
Veritrace continuously monitors AI outputs against baselines, flags behavioral deviations as they emerge, and produces tamper-evident audit logs — with live SDK ingest, Direct API, and historical backfill built in.
< 48h
Typical drift detection window (target)
95%+
Production inference coverage goal
< 10%
False-positive rate target on flags
Illustrative targets from the Veritrace product spec; not SLAs.
One-command setup
Run the wizard in your repo
Answer a few prompts, sign in in the browser, and we create your deployment and ingestion key. The SDK installs automatically and you get a starter file ready to wire into your inference handler.
- No manual copy/paste of API keys in the default flow
- Auto-detects Python, Node, Go, or Java
- Summary checklist shows exactly what was created
Platform
Capture. Analyze. Attest.
Three capabilities that turn post-market surveillance from a manual scramble into continuous, defensible evidence.
Capture
Instrument inference pipelines with minimal overhead. Every output logged with provenance metadata.
Hover to explore
Analyze
Compare production behavior against baselines. Surface length, citation, and pattern deviations automatically.
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Attest
Generate audit-ready packages with hash-chained records suitable for regulatory review and procurement.
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Dashboard
Built for clinical AI operators
The views your product and safety teams need — from first profile to first meaningful deviation.
Flagged Output
Triage deviations with severity, baseline context, and review workflows.
- Cardiology · length spikeHigh
- Oncology · citation dropMed
- Pediatrics · pattern missLow
Surveillance Config
Define profiles by specialty, drug class, or custom segments — no engineering ticket.
- Cardiology baselineActive
- Anticoagulant classActive
- Emergency triageDraft
Release Comparison
Measure behavioral deltas between model versions and catch regressions early.
- Output length+8.2%
- Citation density-3.1%
- Pattern match rateStable
Integrations
Live traffic today. History tomorrow.
Instrument production inference with the SDK or Direct API. Backfill archived logs without re-running models. Same audit chain, same surveillance profiles — whether the data is live or ten years old.
Python SDK
Decorator-based capture with auto-hashing, citation features, and buffered ingest — the fastest path for new services. Repo install today; PyPI pending.
Learn moreDirect HMAC API
Signed POST /v1/inferences for certified JVM cores, batch replay scripts, and languages without a generated client.
Learn moreHistorical import
Upload JSONL or CSV from the dashboard — or drive /v1/import/jobs programmatically. Timestamps up to ten years back.
Learn moreConnectors
Catalog for Postgres, warehouses, and object storage. Export to JSONL today; direct wiring when your stack needs it.
Learn moreGlobal coverage
Surveillance that scales with every deployment
Monitor inference streams across specialties and release trains from a single pane of glass. Veritrace is built to map production activity across markets and model variants so drift does not hide in a single segment.
- Historical backfill from JSONL, CSV, or the import job API
- Continuous capture across vendor inference pipelines
- Baseline comparison after every release event
- Tamper-evident audit reconstruction, on demand
Region analytics on the roadmap. Globe is illustrative.
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