Fragmented information
Regulations, guidance, product classifications, and historical FDA decisions are spread across different sources and formats.
Promising medical technologies should move forward with better evidence—not get held back by preventable regulatory missteps.
Regavise is developing an expert-guided AI platform that connects authoritative FDA sources with device-specific regulatory planning, from early development to post-market compliance.
Illustrative technology category · Intended use and classification require device-specific review
FDA product code MUJ · Radiotherapy treatment planning system
View official FDA classificationFor early-stage medical-device teams, regulatory strategy begins with intended use, design decisions, testing plans, evidence needs, and quality systems—not with the final submission.
Regulations, guidance, product classifications, and historical FDA decisions are spread across different sources and formats.
Gaps discovered late in development may require additional tests, redesign, or repeated studies—consuming time and capital.
Generic AI can summarize information. Regulatory work also demands source traceability, device context, uncertainty, and expert oversight.
Make regulatory knowledge more actionable earlier—especially for innovators who cannot maintain large in-house regulatory teams.
Our proposed approachOur vision combines authoritative sources, device-specific workflows, and human regulatory expertise. The workflow below describes planned product capabilities—not currently deployed advisory functionality.
Capture intended use, underlying technology, development stage, and practical constraints.
Connect to classification information, 510(k) records, applicable regulations, and FDA guidance.
Propose pathway considerations, evidence needs, development checkpoints, and document consistency checks.
Surface limitations, highlight uncertainty, and route consequential judgments for human review.
Our design principle: an answer is only as useful as the evidence and reasoning behind it.
EXPERT-GUIDED. SOURCE-LINKED. CONTEXT-AWARE.This small working component retrieves public 510(k) clearance records directly from the openFDA API. It demonstrates live source connectivity—not an operational RAG engine or regulatory advisor.
What is implemented: a browser-based lookup that requests and displays live openFDA 510(k) records and, when available, device classification metadata. What is not implemented here: document-level RAG, automated predicate selection, regulatory roadmaps, and AI-generated advice. Those are research and product-development objectives.
Search is necessary, but not sufficient. Medical-device teams need to know which questions to ask, what evidence to generate, and when a conclusion demands human judgment.
See what we're buildingHelp teams spot regulatory gaps before expensive downstream changes.
Plan for the particular device, intended use, and development context.
Connect regulatory claims to official sources and make uncertainty visible.
Preserve professional oversight for nuanced or consequential judgments.
The first technical priority is a 510(k)-focused, source-grounded retrieval system. Later stages depend on testing, regulatory validation, and development milestones.
Working browser-side connection to openFDA 510(k) clearance and device classification data. A narrow but demonstrable first integration.
Index selected FDA sources, compare embeddings and hybrid retrieval, test citation validity, and benchmark regulatory questions. Targeted undergraduate research; not presented as completed.
Connect device context to source-linked development plans, evidence needs, documentation checks, and human review.
Evaluate expansion to De Novo, HDE, PMA, and wider lifecycle support after the initial approach is validated.
Regavise brings together biomedical engineering, technology commercialization, and regulatory experience to address a practical problem for innovators.
Biomedical engineering and finance · Washington University in St. Louis
Experience spanning premarket submissions, post-market compliance, and regulatory submission-data architecture.
Examples of official FDA resources relevant to the proposed first phase.
We are starting with FDA 510(k) intelligence—and building toward more informed regulatory decisions across the medical-device lifecycle.
Explore the live FDA lookup