Case Study: Orbisk Reduces Food Waste by Up to 70% with Sama

Orbisk is Using Accurate AI to Help Restaurants Reduce Food Waste Up to 70%

Orbisk, a food waste monitoring company for restaurants and foodservice providers, needed high-quality labeled data to improve its AI-powered image recognition system. The challenge was handling massive, diverse datasets of food images with many ingredients, shapes, angles, and preparation styles, while maintaining tight feedback loops and flexible workflows for timely reporting. Orbisk partnered with Sama for data labeling support.

Sama delivered accurately labeled data for hundreds of thousands of food images, using open feedback loops and APIs to speed up annotation, resolve edge cases, and improve consistency over time. With Sama’s support, Orbisk’s customers have seen food waste reductions of up to 70%, helping save 200K kg of food from landfills to date and reducing costs and harmful greenhouse gas emissions.

Orbisk

Olaf van der Veen

Chief Executive Officer and Co-Founder