AI-driven anomaly detection

Partnership with SafeSet — LLM-based anomaly detection on workforce scheduling data to flag safety risk in manufacturing.

A DSI partnership with SafeSet to develop a machine-learning system that analyzes workforce scheduling data and identifies anomalous patterns that indicate elevated safety risk in manufacturing environments. The system uses large language models deployed on Databricks to autonomously detect operational anomalies, explain the underlying risk factors, and turn predictive analytics into actionable safety alerts.

“From the start of our AI project, it felt like working with a true thought partner. The team took the time to understand both the technical side and the safety context we were building for, and they were open to iteration as the idea evolved. I’d highly recommend pointing other founders your way, especially those working on AI applications aimed at complex, real-world problems.”

— Mitch Swartz, SafeSet