Decagon, the AI customer support startup founded by Jesse Zhang and Ashwin Sreenivas, built its product through an unusually direct feedback loop: over 1,000 customer calls that shaped every major product decision before the company scaled.
The approach is a masterclass in customer-led product development. Rather than building features based on assumptions or competitive benchmarking, Zhang and Sreenivas spent months in conversations with potential buyers — understanding failure modes, workflow integrations, and the trust barriers that make enterprise AI adoption slow.
The result is a company that secured a $4.5 billion valuation at its first tender offer — a number that reflects not just product quality but the kind of customer intimacy that is very difficult to replicate once a competitor has established it.
