A global online retailer implemented MultiSensor AI to monitor its High Speed Gapper Beds—critical assets in the material handling process. Real-time thermal monitoring led to early detection of belt tension issues, MultiSensor AI reduced downtime by 30%, increased throughput 11.4x, and cut maintenance costs by 40%, delivering a 20x return on investment.

Ford's EV battery testing operations faced elevated safety risks due to manual monitoring and lack of real-time fire detection. By combining MultiSensor AI’s infrared imaging and AI-powered software, Ford transitioned from a reactive approach to a proactive safety system—reducing response time and improving safety. This proactive approach now delivers real-time alerts, minimizes the risk of thermal runaway, and helps prevent costly product loss.