Refold AI

I met a founder last month who closed two acquisitions in 2024. One is now one of his best bets. The other failed so badly they’ve stopped mentioning it entirely. I keep seeing the failed-acquisition story play out the same way. The integration plan looks great on the slide: retention bonuses for the acquired leadership team, six-month overlap with the founders, architecture reviews, documentation audits. But once the retention payout clears, and the acquired company's senior architect resigns, nobody on the acquiring side can explain why half the product works the way it does. The corp dev team calls it a people problem and updates the retention package for the next deal. But the acquisitions are not failing on people. They’re failing because context left with them. The real asset was never just the codebase, customer list, or even the team itself. It was the accumulated reasoning behind thousands of decisions: customer-specific workarounds, undocumented dependencies, operational habits, edge-case fixes, and tribal knowledge embedded in the heads of the original builders. None of that was captured before it walked out the door. The retention bonus kept people in seats for a few extra months. It did not preserve the company’s operational memory in a form the acquirer could still query a year later. We still treat acquisitions like financial transactions when the harder problem is actually context transfer. “Due diligence” usually stops at the financials and the codebase. But the real diligence should map the knowledge graph the company actually runs on. Abhishek Kumar , Akshay J. , Tanmay Bhethanabhotla , Drishti Tulsi