
Computer vision for restaurants
AI-powered computer vision platform that monitors restaurant kitchens to ensure food order accuracy.
Agot.AI installs overhead cameras in quick-service restaurant kitchens and uses computer vision — similar to autonomous vehicle technology — to verify that workers are preparing orders correctly in real time. The system reduces order errors, cuts food waste, and provides operations analytics that help QSR operators optimize throughput and consistency. Founded in 2019 by Carnegie Mellon computer science graduates Evan DeSantola and Alex Litzenberger, the company raised $14.3M from investors including Continental Grain Company, Kitchen Fund, and Grit Ventures. In April 2025, Agot was acquired by HM Electronics (HME), a leading provider of drive-thru communication systems. The acquisition powered HME's launch of Nitro Vision AI, integrating Agot's computer vision into drive-thru operations for real-time customer journey tracking and wait time optimization.
Agot was featured at the Seed stage in late 2020 and went on to raise a $10M Series A before being acquired by HME in 2025 — a textbook early-stage pick that reached a successful exit.
Discovery signal: Carnegie Mellon AI spinout applying autonomous-vehicle-grade computer vision to the massive quick-service restaurant market.
Overhead camera-based computer vision that monitors order assembly accuracy in real time, reducing errors at the kitchen level rather than at the POS.
$14.3M
Total Raised
~45
Team Size
Acquired by HME
Exit
Co-founder & CTO
Lead: Kitchen Fund
Lead: Continental Grain Company