Chasi
Chasi is a YC Winter 2026 (W26) company. Based in San Francisco, CA, USA. Team of 2.
About Chasi
Summary
Chasi builds AI agents for equipment dealers, handling sales inquiries, rental requests, and service communications around the clock. The agents plug into a dealer's existing systems and replace the manual work of chasing emails, logging data, and following up on quotes, work that otherwise consumes rep time and lets deals go cold. Dealers get faster response times and higher fleet utilization without adding headcount.
Go-to-market
Equipment dealers and rental teams in the US and Europe are the buyers; Chasi integrates with a dealer's existing stack, suggesting a sales-led motion targeting operations and revenue leaders at those businesses.
From the Y Combinator listing
AI Revenue Engine for the Equipment Industry
Chasi deploys AI agents that help equipment dealers sell more, respond faster, and maximize fleet utilization - 24/7. One-third of the cost to build and maintain the physical world goes to equipment, yet fleet utilization across the industry often sits below 60%. Billions in assets sit idle while dealers drown in phone calls, emails, and manual data entry. Missed quotes, slow follow-ups, and disconnected systems mean lost revenue every day. Chasi plugs into a dealer's existing stack to deploy AI agents that handle sales, rentals, and service requests around the clock. The result: faster response times, higher utilization, and stronger margins, without adding headcount. We automate the busywork so teams can focus on what actually grows the business: customer relationships. Akash Pavan and Sarman Aulakh have built tractors, race cars, and robots, and previously led AI deployments at Tesla, Boeing, and Cummins, where they saw firsthand how much operational value gets left on the table in equipment-heavy industries. Chasi is live across equipment businesses in the US and Europe.
Facts
- B2B / B2B
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (2)
- Sarman Aulakh
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