The knowledge that runs Intel lives in systems of record. Your AI should too.
In design and engineering, the answers your teams need aren’t sitting in chat threads and shared drives. They live in silicon design data, PLM, verification results, test matrices, quality records, and decades of prior art. Those are exactly the systems of record a general-purpose copilot was never built to reach which is why AI is only as useful as the systems it can index.
You’ve already proven the model. 1AI unified your GenAI front door and gave Sales and Marketing specialized agents under one governed platform. Design and engineering are the next business unit and they carry the hardest data problem in the company.
Sinequa reaches the systems of record where your engineering knowledge actually lives, not just the collaboration layer your copilots can talk to.
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