FDA AI Navigator
Explainable AI-powered regulatory intelligence for FDA-authorized medical devices.
Deterministic retrieval. Specialized agents. Every answer grounded in the FDA record.
Not a search box. Not a chatbot.
The FDA record exists, but regulatory intelligence is fragmented across multiple systems.
FDA AI authorizations grew 18× in a decade.
333 in 2025 alone, versus 18 in 2016. Radiology carries 76% of the catalog, but cardiovascular, neurology, and eight other specialties are climbing. AI-device authorizations are accelerating faster than regulatory teams can track manually.
Beyond Search. Toward Regulatory Intelligence.
Traditional search finds records. FDA AI Navigator explains, compares, and verifies.
Find
Search and filter 1,524 devices by specialty, pathway, year, and company: one unified catalog reconciled from every FDA source, instead of five separate databases.
Search and filter the catalog of 1,524 FDA-authorized AI medical devices.
Understand
Plain-language pathway explanations, market trend dashboards, competitive timelines: the regulatory meaning behind the records, not just the rows.
Approval patterns across 1,524 FDA-authorized AI medical devices.
Prove
Get answers with real FDA submission numbers, verified citations, confidence levels, and stated limitations, grounded in the official record before it reaches you.
ContaCT (Viz.AI) created this category via De Novo in 2018; later devices cleared via 510(k) as substantially equivalent.
Three people, one shared bottleneck.
Different jobs, same hours lost to FDA archaeology.
The Medical Device Startup
Needs regulatory precedents to identify predicate devices and map clearance pathways quickly.
The Researcher
Studies AI device trends. Needs a clean, traceable, and citable dataset.
The Clinical AI Evaluation Lead
Evaluates clinical AI deployments. Must verify vendor claims against the official FDA record.
“What has already been approved?”
- Pathway precedent in seconds: filter the catalog to stroke AI and the history is right there.
- The competitive field, as filed: every applicant, every decision date, straight from FDA records.
- Shareable evidence: filters live in the URL, so a regulatory strategy discussion starts from the same view.
A reproducible dataset you can cite, not scrape.
- Reconciled at ingestion: FDA's AI list cross-checked against openFDA bulk data, disagreements logged, never papered over.
- Honest timelines: zero-count years stay on the axis; partial years are marked, not hidden.
- Every row traceable: keyed by FDA submission number, linked to the source record.
By regulatory pathway
New market entrants per year
502021
612022
462023
852024
882025
1092026*
21
Verify the vendor,
not the brochure.
- Claims → submission numbers: every device in an answer cites its real FDA record.
- Confidence, stated: high, medium, or low, with the reason why.
- Limitations, admitted: what the data can't tell you is part of the answer.
A multi-agent pipeline where every claim is checked.
Google ADK orchestrates specialized AI agents while deterministic services retrieve, enrich, and validate FDA evidence.
System Architecture
Hybrid architecture: deterministic FDA services plus agentic reasoning built on one source of truth.
The App in Action
Ask Navigator
The user submits a natural-language query directly from the dashboard landing page.
Multi-Agent Pipeline
The query triggers the ADK reasoning graph. Users monitor agent execution steps in real-time.
Explainable Output
Every claim is synthesized, structured, and gated by the validator with links to official sources.
From FDA search to regulatory intelligence
Today
- ✔FDA AI device catalog
- ✔Ask Navigator
- ✔Market Intelligence
- ✔Explainable evidence
Next
- →Semantic search
- →FDA guidance RAG
- →Cloud sync
- →Real SSE agent execution
Future
- →Regulatory Strategy Advisor
- →Competitive Intelligence
- →Similarity Search