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Chasi is building the future of equipment commerce. We help dealers and rental companies sell faster, respond to customers around the clock, and keep machines in the field instead of sitting in a shop or a yard. This is one of the biggest opportunities to bring real-world AI to an industry that software has barely touched. We're based in San Francisco, backed by YCombinator and other top investors, and already working with CAT, John Deere, Bobcat, and other top OEM dealers.
This is an open application - if you're drawn to what we're building and the space we're building it in, reach out. We'll find the right seat if there's a fit.
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.
Location
San Francisco, United States