SaaS companies lose 20 to 30% of their revenue to churn. Meza AI catches it in time
Abhishek and Priya Yadav have known each other since they were kids, and they've built a company together before, NbliK, which they grew past two million users. At that scale they learned something that stuck: the data was everywhere, but the decisions always came too late. The dashboard lit up red after the customer had already gone.
They got tired of watching churn arrive as a post-mortem. So with Meza AI they built the opposite of a dashboard. It doesn't just show you a health score, it tells your team which account is at risk, why, and what to do about it while there's still time. They call it a system of decision, not a system of record.
That kind of clarity only comes from living the problem, which they have. And customers are responding: every single pilot Meza has run has converted into a paying customer. It's already at around $230K ARR, monitoring more than 1,500 accounts, and it onboards a new customer in under 90 minutes. Along the way, it has surfaced more than $350K in churn risk and expansion opportunities for those customers.
"At our last company we had two million users and all the data, product, CRM, Slack, email. But by the time we knew a customer was unhappy, they were already gone. That is why we built Meza." Abhishek Yadav, co-founder and CEO
For context, SaaS companies lose 20 to 30% of their revenue to churn they catch too late. That is the exact gap Meza was built to close, and so far every pilot it has run has chosen to pay for it.
→ Watch Meza AI’s 60-second pitch
Abhishek and Priya are pitching at Demo Day. Come hear the rest of the story in Singapore on July 15 and online on July 23.
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