IFS invests in world-class training facilities to prepare cooks who deliver exceptional dining experiences. Their vision: a connected training center where every movement, technique, and temperature is captured and understood. The M.A.R.I.S platform transforms raw sensor and video data into actionable quality insights, enabling scalable, consistent excellence across all training locations.
IFS needed a solution capable of interpreting the complexity of kitchen environments—combining visual action detection with real-time sensor correlation. The ambition required more than data processing. It demanded intelligent systems that could understand culinary technique, distinguish meaningful actions from noise, and deliver uniform quality metrics at scale.
Beyond software, the project demanded AI systems that could see, interpret, and learn. An AI-powered detection layer identifies and classifies every cooking action without predefined categories. Intelligent agents process multi-source sensor data and map it precisely to observed techniques. The result: automated quality assessment that scales uniformly across all training facilities.
Our collaboration began with data analysis workshops to understand the full training ecosystem. We developed an MVP focused on single-session interpretation—video plus sensor correlation. The technical foundation evolved through rapid iteration, validating AI accuracy against culinary expertise before expanding scope.

Our partnership continues as we expand the platform's interpretive capabilities and prepare for production deployment. The vision: AI-enabled training centers that elevate culinary standards across the foodservice industry.