AI‑driven commercialization: Closing the IP–R&D gap

Research suggests that roughly half of all patented inventions in the United States are never commercially exploited. Too often, IP teams build portfolio strategy disconnected from the R&D work and commercial realities that should inform them. This session makes the case for a more integrated model, where IP decisions are grounded in more complete technical and commercial intelligence. We'll cover how AI is closing the gap between R&D, IP, and commercialization — and why the teams that bridge these functions are building more defensible and more valuable portfolios.

Topics will include:

- How early-stage R&D intelligence sharpens white space, FTO, and prior art decisions
- Why commercial and market signals belong in portfolio strategy, not just legal review
- The role of AI agents and vertical intelligence platforms in connecting R&D, IP, and business teams in real time
- How leading Fortune 500 R&D and IP organizations are restructuring the interface between these functions
- What the shift from reactive filing to proactive portfolio building looks like in practice

Speaker:

Steve Hafif

CEO, Cypris

Steve Hafif is the CEO of Cypris, an AI intelligence platform supporting global R&D and IP teams. He has worked directly with hundreds of Fortune 500 R&D and IP leaders on how AI is reshaping early-stage research and IP strategy. Cypris is an enterprise partner of OpenAI and Anthropic, with enterprise customers across defense, chemicals, and industrials including J&J, the US Air Force, and NASA.

Website below :

Cypris: Actionable Innovation Intelligence built for R&D & IP ...