PreciTaste offers an "always‑on" AI kitchen management platform that uses cameras, point‑of‑sale data and inventory signals to predict demand and recommend precise cooking and prep actions to crews. The system relays instructions via touchscreens, issues optional order‑accuracy alerts, and allows remote monitoring of one or multiple restaurants. PreciTaste says its computer‑vision models are trained on a growing foodservice data library that tracks about 19,000 meals every five minutes and claim the platform can cut overhead and eliminate up to 85% of food waste at the point of sale. The company emphasizes an offline‑first edge AI approach with anonymized uploads for model optimization and says camera data is in most cases deleted quickly to address privacy concerns. Its flagship product is installed at over 1,500 locations and the company employs 98 people across Germany, India and the U.S., with plans to hire more than 25 employees by year end. PreciTaste was originally founded from technology developed at the Technical University of Munich and began as PreciBake; it faces competition from players such as Dragontail Systems, Leanpath, Winnow, Miso Robotics and Agot.

Total raised

$24M

Funding rounds

1

Latest round

Series A

Latest activity

Aug 2022