SAPHI provides AI Co-Pilots optimized for edge computing, which analyze data from cameras and sensors to evaluate risks, identify efficiency improvements, and facilitate quicker, more confident decision-making without depending on human input. Each co-pilot develops a contextual understanding of your location by recognizing what is normal, what requires attention, and where there are opportunities to enhance operations. Rather than inundating teams with excessive data, these co-pilots continuously learn from your operations to highlight only the most significant moments. This translates to bespoke algorithm development for specific, high-value applications when standard models are inadequate—transforming camera data into actionable insights. For vehicle safety and in-cab intelligence, the Shellshock VIS is an in-vehicle AI Co-Pilot designed to comprehend operators, vehicles, and environmental conditions to minimize risks, reduce false alerts, and enhance efficiency. Regarding people-to-vehicle safety and fleet optimization, the Shellshock Forklift provides proximity and workflow intelligence, improving pedestrian safety, decreasing near-misses, and optimizing resource use. For fixed plant camera and sensor intelligence, Shellshock Connect adds a real-time analytical layer to existing CCTV and sensors, bringing attention to risks, near misses, and operational bottlenecks without relying on continuous cloud processing. Lastly, for thermal risk and early hazard detection, Shellshock Thermal employs thermal AI to differentiate actual hazards from background noise, allowing for early detection of anomalies, lowering false alarms, and improving compliance and operational uptime.