How 1,000+ customer calls shaped a breakout enterprise AI startup | TechCrunch
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How 1,000+ customer calls shaped a breakout enterprise AI startup | TechCrunch
"We wanted to not waste too much money. Because I do believe that when you have too much money in the bank and you are not near product-market fit, you're tempted to just spend money on things that actually don't help you evolve the company in the right way. It removes the friction to do a lot of wrong things."
"If you want to build a real business, ask the hard questions, right? Spend time with customers, and not just in selling, because when you have that contract and that p"
David Park, a veteran founder and Startup Battlefield alumnus, leads Narada, an enterprise AI solution that automates multistep workflows across enterprise systems using large action models. Despite having strong credentials—an experienced founding team from Stanford and Berkeley, established enterprise customers, and a working product—Narada deliberately delayed fundraising. Park believes excessive capital before achieving product-market fit encourages wasteful spending and removes friction that drives proper company evolution. Drawing from his previous exit with Coverity, Park emphasizes the importance of extensive customer discovery, having conducted over 1,000 customer calls with co-founders to understand pain points. This approach revealed that enterprises needed an AI product they could interact with conversationally and trust to execute multiple steps autonomously.
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