Agentic Workflows
Deploy autonomous AI agents that document work, open tickets, draft handovers, schedule follow-ups, and take action across factory workflows without forcing operators into new applications.
Myto turns real factory activity into AI-powered workflows that help manufacturing teams troubleshoot faster, capture expert knowledge, generate usable SOPs, and coordinate shift handovers without pulling operators away from the floor. Built for plants battling downtime, retirements, and disconnected systems, it deploys quickly as SaaS with minimal IT lift and a frontline-first experience.

AI tools that capture factory expertise, automate workflows, and help frontline teams keep production moving.
Deploy autonomous AI agents that document work, open tickets, draft handovers, schedule follow-ups, and take action across factory workflows without forcing operators into new applications.
Surface the right SOP, diagnostic checklist, machine history, and likely root causes when operators or maintenance technicians are facing equipment issues on the floor.
Use wearable AI glasses to capture operator expertise, troubleshooting paths, shift details, and physical-world know-how as work happens, with no extra paperwork.
Ingest SOPs, tickets, logs, machine history, MES, CMMS, SCADA, ERP, and quality data into a structured manufacturing knowledge layer.
Automatically create audit-ready, version-controlled SOPs from captured operator knowledge, operational data, and real workflows that reflect how work happens today.
Replace incomplete notes and whiteboards with structured AI-generated handoffs that capture what ran, what broke, what was fixed, and what remains open.
Myto brings AI into the real flow of manufacturing work: on the floor, around machines, and inside the systems teams already use. By combining AI glasses, operational data integration, and autonomous agents, it helps plants preserve expertise, reduce time-to-diagnosis, standardize procedures, and automate follow-through without adding burden to operators or requiring heavy infrastructure changes.

Myto is built for frontline manufacturing realities, not generic office automation.
Operators keep working normally while AI glasses capture expertise without forms, portals, or interruptions.
SaaS deployment requires minimal IT lift and avoids heavy plant infrastructure changes.
AI learns from your SOPs, tickets, machine history, and real frontline workflows.
Founders bring experience from Mercedes-Benz, BCG, and Stanford to manufacturing operations.
Built by operators, strategists, and manufacturing technology experts.
Myto was founded to solve a problem manufacturing leaders know well: too much critical knowledge lives only in people’s heads. The founders saw how frontline teams still depend on binders, tribal knowledge, and disconnected systems while factories produce increasingly complex products. Drawing on experience from Mercedes-Benz, BCG, and Stanford, Myto combines wearable capture technology with agentic AI automation to learn from how the best operators actually work. The vision is simple: capture manufacturing knowledge before it walks out the door, then put that knowledge to work through AI agents that troubleshoot, document, coordinate handoffs, and help production teams make faster, better decisions.
AI workflow automation helps manufacturers reduce manual documentation, speed up troubleshooting, preserve senior operator expertise, and coordinate work across shifts. Instead of forcing operators into extra forms or portals, Myto captures activity as work happens, connects it with plant data, and uses AI agents to create SOPs, tickets, handover notes, and follow-ups that keep production moving.
Talk with Myto about your plant workflows, data, and automation goals.
Backed by a leading startup accelerator.
Supported by a major venture capital firm.
Built by experienced manufacturing and strategy operators.
Tell us about your plant count, workflow priorities, and frontline AI goals. Myto will help assess fit, deployment scope, and next steps for a practical rollout.
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