Building an AI Intelligence Layer for R&D - with Steve Hafif, CEO, cypris.ai
AI Is no longer optional for R&D. Join us for a discussion on how AI is accelerating early-stage research, reducing downstream risk through richer context, and compounding its impact when paired with well-organized internal knowledge.For innovation leaders, AI is no longer a luxury, it is a competitive necessity.
In this session, we break down how AI is reshaping the R&D lifecycle, from faster discovery to more informed decision-making. See how an intelligence layer approach enables teams to move beyond fragmented tools toward a unified, scalable system for innovation.
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What You'll Learn
How AI is transforming early-stage R&D
Understand how AI accelerates discovery by surfacing relevant patents, research, and market signals faster, enabling teams to move from question to insight with significantly less manual effort.
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Reducing risk through better context
Learn how combining external innovation data with internal knowledge creates richer context, helping teams make more confident decisions and avoid costly downstream mistakes.
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Building a compounding intelligence layer
See how leading R&D organizations are moving beyond point solutions and building systems where AI continuously improves over time as knowledge is captured, structured, and reused across the organization.
Powering world-leading R&D & IP teams
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