Whitepaper

Structured intelligence: How AI is transforming high-stakes R&D decisions

Generative AI won’t surface your next breakthrough. This whitepaper shows you how structured intelligence — built on knowledge graphs and semantic models — changes the questions you’re able to ask.

The signals that matter most are the ones you don’t know to look for

You scan the journals your team follows, track the keywords you’ve identified, and make high-stakes investment calls based on what that process surfaces. Which means you’re also making them based on what it misses.

To get outside of my keywords, I need something different. If I think of AI in the narrow sense of generative AI, I don’t think it’s going to help us find the unknown unknowns.”

R&D research strategist

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This whitepaper is for you if…

You’re an R&D leader who makes high-stakes investment decisions in pharma, chemicals, or technology.

You lead R&D strategy and your tools still depend on the keywords and competitors you already know
You work in research analytics and aren’t convinced generative AI alone gets you to the insights that matter
You’re a portfolio leader who has seen good data fail to shift a decision

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What you’ll discover

What structured intelligence means in practice — and what separates organisations building a real analytical edge from those still running keyword searches.

How knowledge graphs surface connections and weak signals no keyword search would find
How AI can generate competing hypotheses that introduce productive challenge rather than reinforce existing views
What organizational readiness actually requires, starting with the data foundation

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