Narada AI bets on agentic AI to kill SaaS clutter
Narada AI CEO Dave Park says the era of SaaS is ending. The startup is pushing agentic AI to replace the 17 to 25 apps knowledge workers toggle daily, saving two and a half hours otherwise wasted on manual lookups and data juggling.
Park told TechCrunch’s Equity podcast, 
“SaaS is going away.”
“The typical knowledge worker today deals with anywhere from 17 to 25 different SaaS tools and portals every day, wasting two and a half hours just manually looking up or updating these systems.
We believe in a future where it’ll just be the data, the databases, and AI agents or agentic models that take your request and operate across those silos to get the job done.”
Narada launched at TechCrunch Disrupt 2024 and builds on UC Berkeley research. Its “large action models” are specialized LLMs designed to think through and complete multi-step tasks across tools — even without APIs.
Park joined Rebecca Bellan on Equity to break down what agentic AI really means, how it goes beyond traditional automation, and what enterprises need to overhaul to deploy it at scale.
The timing is hot. YC’s latest batch includes 70+ startups working on agentic tech. Grammarly and others are actively building AI work stacks with strategic partnerships.
The full episode dives into:
- Misconceptions on automation and who’s caught in the agentic hype
- How Narada’s tools could help solo founders and small teams, not just enterprises
- Why future software might ditch apps altogether
Catch Equity’s next episode Friday for a fresh news rundown.
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