Hands-Free Capture
Wearable AI glasses record troubleshooting steps, expert maneuvers, shift conversations, and real-world know-how as operators work normally, transforming undocumented expertise into reusable factory intelligence.
Myto’s AI-powered smart glasses help manufacturing teams capture real operator knowledge as work happens, then turn it into SOPs, troubleshooting flows, shift handovers, and autonomous AI actions. Built for factories where downtime, retirements, and disconnected systems create daily pressure, Myto gives frontline workers hands-free access to the context they need to keep production moving.
Myto combines AI glasses, operational data, and autonomous agents to improve frontline manufacturing work.
Wearable AI glasses record troubleshooting steps, expert maneuvers, shift conversations, and real-world know-how as operators work normally, transforming undocumented expertise into reusable factory intelligence.
Surface the right SOP, equipment history, likely root causes, and diagnostic checklist while operators face live machine issues, reducing delays caused by waiting for one senior expert.
Connect SOPs, logs, tickets, machine history, MES, SCADA, CMMS, ERP, and quality data into a structured manufacturing knowledge layer that powers smarter AI agents.
Automatically generate audit-ready, version-controlled SOPs from captured operator expertise and plant data, replacing outdated PDFs with procedures that reflect how work happens today.
Capture what ran, broke, changed, and still needs attention, then assemble structured shift-handover documentation incoming teams can understand and act on quickly.
Deploy autonomous AI agents that document work, open tickets, schedule follow-ups, surface context, and take action inside manufacturing workflows without forcing operators off the floor.
Myto turns smart glasses into a knowledge engine for the factory floor. Operators keep working normally while the system captures what they see, say, and do, connects it with machine history and SOPs, and delivers guidance back through AI agents. The result is faster troubleshooting, better handovers, fresher documentation, and less dependency on a single expert.
Myto is built for the realities of modern manufacturing operations.
AI glasses capture expertise while operators keep working, with no clipboards or extra steps.
SaaS setup requires minimal IT lift, helping plants pilot quickly without heavy infrastructure.
Myto learns from SOPs, tickets, machine history, and frontline activity, improving over time.
Built by a team with experience from Mercedes-Benz, BCG, and Stanford.
Built by manufacturing, consulting, and AI product experts.
Myto was founded to solve a practical manufacturing problem: too much operational knowledge lives only in people’s heads. The founders saw how frontline teams still rely on binders, disconnected systems, and tribal knowledge despite manufacturing’s massive role in the economy. Drawing on experience from Mercedes-Benz, BCG, and Stanford, Myto built a platform that captures physical-world expertise through AI glasses and turns it into intelligence teams can use. The vision is simple: preserve manufacturing knowledge before it walks out the door, then put that knowledge to work through AI agents that troubleshoot, document, coordinate handoffs, and help operators keep lines running.
AI-powered smart glasses are wearable devices that let frontline workers capture, access, and act on information without stopping work to use a laptop, clipboard, or phone. In Myto’s manufacturing platform, the glasses record physical-world expertise as operators troubleshoot, run equipment, or complete handovers, then structure that knowledge into SOPs, diagnostics, training content, and AI-assisted workflows.
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Recognized backing for high-growth technology companies
Venture backing supporting scalable enterprise AI innovation
Built for demanding manufacturing and operations teams
Share your plant count, frontline workflow goals, and AI glasses rollout needs, and the Myto team will help scope a practical deployment path.
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