DeepHow

DeepHow positions Physical AI as a way to capture expert knowledge, guide frontline workers, and verify task execution in real time. The page describes capabilities for operations and efficiency (throughput, process drift, time and motion studies, standard work verification, temperature-critical work), safety and troubleshooting (safety and compliance verification, AI-powered diagnosis), and knowledge and enablement (preserving industrial knowledge, digitizing work instructions, reducing time to competency). Platform capabilities listed include knowledge capture and transfer, on-demand visual inspection, factory flow intelligence from camera feeds, live SOP verification, time and motion AI, and process drift analysis. A PharmaCloud offering is described for pharma, biotech, and medical devices, and industries served include manufacturing, pharma and medical devices, and electronics assembly. The page cites customer examples including a Foxconn case study and reports results such as 99% task-level accuracy, 96% recall, 99% precision, and a 3% first pass yield improvement, though these are customer-reported figures from the page. Pricing is not stated on the page.

Key features

• Knowledge capture and transfer
• On-demand visual inspection using vision AI
• Factory flow intelligence from camera feeds
• Live SOP verification
• Time and motion AI with automated task classification
• Process drift analysis
• AI agents that convert SOPs into structured digital workflows
• Training within industry (TWI) AI-guided instruction
• External sharing of operational knowledge with partners
• PharmaCloud industry solution for pharma, biotech, and medical devices
• Browse integrations

Best suited for

• Manufacturing operations teams
• Pharmaceutical and medical device operations
• Electronics assembly
• Operational excellence and continuous improvement teams
• Frontline operator training and onboarding
• Time and motion studies
• Standard work and SOP compliance verification

Pricing

Not stated on the website