01 / Fragmented research
Research starts in separate places.
Clinical studies, engineering literature, device specifications, patents, and FDA records each reveal part of the picture.
More time developing what comes next. Less time piecing the evidence together.
Dedicated investigations · Allow around 30 minutes
Example investigation
What are the complications with reverse shoulder arthroplasty and how can they be improved?
From research to R&D direction
Connect reported problems, possible mechanisms, and existing solutions to reveal what remains unresolved.
Research with reach
A world of evidence.
One connected investigation.
Large public research collections meet a focused team of AI agents—bringing clinical, engineering, product, patent, and safety perspectives together.
PubMed40M+Biomedical citationsPublic literature collectionEurope PMC49M+Literature abstractsPublic literature collectionGoogle Patents120M+Patent publicationsWorldwide provider collectionFDA / openFDA32.4M+Regulatory & safety recordsDevice datasets combinedWorldwide · WHO≈2MMedical device typesEstimated kinds on the marketThe research team10Specialized AI agentsFrom planning to synthesisConnected investigation5Research disciplinesClinical to engineering to IPA shared perspective1Integrated reportEvidence, reasoning & next steps
Public collection sizes and the WHO market estimate provide context for the research landscape. Collections overlap; these are not counts of records stored or read by this system. Figures checked October 26, 2026.
Source counts & coverage
Literature & patents. PubMed and Europe PMC collections overlap. Google Patents reports over 120 million publications worldwide; the current research configuration focuses on US patent results.
Medical devices. WHO estimates approximately 2 million different kinds of medical devices on the world market. This is market context, not a count of devices indexed by this system.
Regulatory & safety. The FDA figure sums all available records in the eight device datasets used by the research architecture. It includes 32,418,328 dataset records, rather than distinct documents or devices. Related records can appear in multiple datasets. Retrieval depends on the question and source access.
| Dataset | Records |
|---|---|
| Adverse-event reports | 26,557,775 |
| Unique device identifiers | 5,182,695 |
| Registrations & listings | 336,946 |
| 510(k) clearances | 176,466 |
| Device recalls | 59,618 |
| Premarket approvals | 57,373 |
| Recall enforcement reports | 40,358 |
| Device classifications | 7,097 |
| Combined records | 32,418,328 |
Why it matters
The answer to most research questions
lives between disciplines.
02 / The synthesis challenge
Connecting it is the demanding part.
Teams spend time comparing claims, tracing mechanisms, and resolving conflicting findings before they can decide what matters.
03 / Connected intelligence
See what to investigate next.
Dedicated AI agents bring these perspectives together to identify unresolved needs and develop grounded R&D hypotheses.
Built from experience
We know the work.
We’ve done it by hand.
The thinking behind InnovaMed Intelligence
Searching the literature. Comparing device designs. Reading patent filings. Looking for the engineering explanation behind a clinical problem.
Our team has worked through this process firsthand. We know the effort it takes to bring separate findings together into a useful direction for medical-device research.
InnovaMed grows out of that experience. We’re translating how we investigate these questions into a coordinated team of AI agents—so more effort can go into interpreting the evidence, exploring possibilities, and deciding what to pursue.
What drives us
Help teams close research gaps and advance medical-device innovations that can improve patient care.
The platform
Ten AI agents.
Built to connect the dots.
A research process shaped by experience. Powered by specialized AI agents.
Each agent investigates a different part of the question. Their findings are brought together to examine trade-offs, challenge assumptions, and identify opportunities that deserve further investigation.
Your MedTech research question
Specialist perspectives. One integrated investigation.
Multidisciplinary researchEvidence reviewTestable hypotheses
A high-level view of the research workflow. Early access is opening in phases.
Explore all 10 agent roles
- 00
Research planning
Turns your research question into a focused investigation and coordinates the specialist tasks.
- 01
Clinical evidence
Investigates published findings on clinical outcomes, complications, patient populations, and reported unmet needs.
- 02
First-principles engineering
Examines anatomy, biomechanics, materials, and physical principles to explain how a device works and why it may fail.
- 03
Product intelligence
Maps existing devices, product families, specifications, and the claims made by manufacturers.
- 04
Patent intelligence
Searches patent publications for technical approaches, inventors, assignees, and relevant device concepts.
- 05
Regulatory & safety
Investigates relevant FDA device records, submissions, recalls, and reported adverse events.
- 06
Cross-agent evidence audit
Reviews findings across the specialist workstreams for contradictions, unsupported claims, and missing evidence.
- 07
Opportunity discovery
Connects findings across domains to surface unresolved needs and formulate opportunity hypotheses.
- 08
Knowledge graph synthesis
Maps relationships between problems, mechanisms, products, patents, evidence, and opportunities within the investigation.
- 09
Report synthesis
Brings the investigation together into a readable research report with references, integrated reasoning, and explicit uncertainties.
Future pipeline
More perspectives planned for future releases.
- Future release
Market & financials
Commercial landscape & company performance
- Future release
Reimbursement & coverage
Payment, coverage & adoption context
- Future release
Clinical trial registries
Emerging devices & clinical development
- Future release
Real-world evidence
Long-term outcomes & device use
Example research questions
Ask the questions that move your research forward.
Each example is scoped for the full agent team: clinical evidence, engineering, products, patents, and FDA records, brought together through evidence review and opportunity discovery.
Examples of the kinds of questions the system is designed for. Useful for early-stage opportunity scoping, competitive and technical landscaping, design-input research, and deciding what to investigate next.
What you receive
Research that helps you decide what to investigate next.
Understand what the evidence supports, where explanations conflict, and which opportunities need testing—with a structured, source-linked report your team can question, discuss, and build on.
Finding — Sourced from referenced material.
Interpretation — Engineering reasoning based on findings.
Hypothesis — A grounded opportunity to investigate — not a conclusion.
Report structureSample outline
- 01
Scope & framing
How the question was interpreted and what was — and wasn't — investigated.
- 02
Clinical problem landscape
Reported complications, outcomes, and unmet needs, with source references.
- 03
Mechanism explanations
First-principles engineering reasoning about why problems may occur, labeled as interpretation.
- 04
Device & claims review
Existing products and what manufacturers claim, set against independent evidence.
- 05
Patent & technical approaches
Approaches described in patent publications. Not a freedom-to-operate or clearance opinion.
- 06
Regulatory & safety signals
What FDA records, recalls, and adverse-event reports show — and their limits.
- 07
Conflicts & evidence gaps
Where sources disagree, where claims are unsupported, and what's missing.
- 08
Opportunity hypotheses
Grounded, testable hypotheses for what to investigate next — not validated conclusions.
Early access
Help shape the next chapter of medical-device research.
We’re building InnovaMed for engineers, researchers, clinicians, and founders who believe better-connected research can help move meaningful medical-device innovation forward. Join early access and help shape how that work gets done.
Tell us the question and device you’d like to investigate. We’ll be in touch by email as early access opens. Signing up doesn’t create an account yet.
Built from firsthand MedTech R&D experience.
FAQ
About the platform.
What is InnovaMed Intelligence?
An agentic AI research system for medical-device research. You ask a research question; specialized AI agents investigate clinical, engineering, product, patent, and regulatory angles, review each other's evidence, and produce one integrated research report. It is research and decision support — your team stays in charge of judgment and decisions.
Who is it for?
Medical-device engineers, clinical researchers, R&D and product leaders, innovators, and founders who need to understand a clinical area quickly and decide where to focus next.
Does it replace regulatory, legal, or clinical expertise?
No. It doesn't provide patent clearance or freedom-to-operate opinions, regulatory advice, clinical validation, or validated device designs. It helps you get to better-informed questions for those experts faster.
How do I know what's evidence and what's interpretation?
Reports keep three things distinct: sourced findings, engineering interpretation, and opportunity hypotheses. Manufacturer claims are labeled as claims and compared against independent evidence, and the evidence auditor flags conflicts and gaps rather than smoothing them over.
What happens when I request early access?
Your request is saved and we'll contact you by email as early access opens. Signing up doesn't create an account, and there's no research workspace to log into yet.
Is there a cost?
Pricing for early access hasn't been announced. We'll share details with people on the list before anything is offered.