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Spot critical device issues before they impact patients by surfacing risk signals across regulatory and real-world data.
Automatically ingest and synthesize internal reports, FDA filings, social media, and patents into one intelligence platform.
Accelerate innovation by matching failure themes with proven solutions from across the industry and IP landscape.
Aggregate MAUDE reports, Reddit posts, patents, and internal feedback
Extract patterns and trends using domain-trained AI
Generate design-ready insights with regulatory and technical context
Quickly detects recurring problems in unstructured data—like narrative MAUDE reports and Reddit posts—using NLP tuned for medical devices.
Connects the dots between internal complaints, regulatory filings, and public sentiment to uncover hidden risk patterns and emerging concerns.
Identifies relevant prior art and published solutions—so your team can move faster with confidence and regulatory alignment.
Export insights into structured documentation—like traceability matrices and user needs reports—with full source references for compliance and audits.
PIP helps innovators across the medical device ecosystem transform feedback into smarter design decisions.
Speed up regulatory learning and avoid known pitfalls using insights from real-world failures.
Mine internal complaints, MAUDE data, and social feedback to continuously refine device design.
Access structured design data to support funding applications, IP strategy, and early validation.
Spot patterns, ensure traceability, and streamline evidence-based documentation for premarket planning.
See how innovators across the medical device world use PIP to uncover insights from unstructured data like MAUDE reports and user feedback.
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“Are our cardiac monitor battery issues an isolated problem or industry-wide?”
“Why are our spinal cord stimulator leads failing after implantation?”
“What user errors are causing our home dialysis machine alarms?”
PIP (Product Improvement Platform) is an AI-powered tool that transforms fragmented feedback—like adverse events, user complaints, and regulatory data—into actionable design insights for medical devices. It helps teams uncover why device failures happen and how to prevent them before market launch, reducing R&D uncertainty.
Unlike other AI platforms, PIP is purpose-built for medical device design. It integrates semi-structured regulatory data, unstructured social media content, patent filings, and internal client data to generate tailored design, regulatory, and risk insights. While ChatGPT might answer questions, PIP synthesizes and surfaces critical issues relevant to your device and its market through integrations with essential datasources.
PIP focuses on the early-stage design and ideation phase—long before quality management or compliance documentation. It’s not just a documentation platform. It’s an intelligence system that helps R&D teams understand what to build and why, based on user needs, known failures, and competitor innovations.
No. Each client’s data is completely isolated. Internal data is never shared or visible to others. Privacy and security are core design principles.
