Garage Raises $41M Series B for an AI Marketplace for Used Fire Engines
$100M a year in sales and zero logistics employees. That is how Garage sells used fire engines, garbage trucks and other heavy municipal equipment. The company raised a $41M Series B led by Invus Opportunities, with Infinity Ventures, Initialized, Y Combinator, Benchstrength and FJ Labs participating. Valuation was not disclosed. Total raised is now $60M, after a $13.5M Series A in August 2025. Release: https://www.prnewswire.com/news-releases/garage-raises-41m-series-b-to-scale-ai-powered-marketplace-for-americas-essential-equipment-surpassing-100m-in-annual-platform-sales-302935598.html
Timing note: the release went out at 5pm ET on Nov 10, exactly 22:00 UTC, which is the edge of this edition's window, so it's included here.
CEO Martin Hunt is a former firefighter, and CTO Alaz Sengul built the platform. AI handles the listings, specs, pricing and matching that normally sit with a broker who knows which county is retiring which truck. Garage says buyers save "more than 90%" on essential equipment compared with buying new. The money goes into hiring and expanding into public works and sanitation.
This is the kind of round people skip because it isn't an agent framework. It is still one of the cleaner AI business cases going: a thin, opaque, relationship-driven market where small fire departments overpay because nobody can see the inventory. Make the inventory visible and let software do the matching, and a broker's margin turns into a city's savings. Invus partner Bryan Kim's line, "$100 million in annual sales with zero logistics employees," is the number to remember.
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Timing note: the release went out at 5pm ET on Nov 10, exactly 22:00 UTC, which is the edge of this edition's window, so it's included here.
CEO Martin Hunt is a former firefighter, and CTO Alaz Sengul built the platform. AI handles the listings, specs, pricing and matching that normally sit with a broker who knows which county is retiring which truck. Garage says buyers save "more than 90%" on essential equipment compared with buying new. The money goes into hiring and expanding into public works and sanitation.
This is the kind of round people skip because it isn't an agent framework. It is still one of the cleaner AI business cases going: a thin, opaque, relationship-driven market where small fire departments overpay because nobody can see the inventory. Make the inventory visible and let software do the matching, and a broker's margin turns into a city's savings. Invus partner Bryan Kim's line, "$100 million in annual sales with zero logistics employees," is the number to remember.
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