AI Workflow Agents
Deploy domain-trained AI agents that automate, document, remediate, and follow up on operational work across plant workflows without forcing operators into another application.
Explore how Myto turns the manufacturing automation process into a practical system engineers can deploy across real plants. By capturing frontline expertise, ingesting machine history, and coordinating agentic AI workflows, teams can reduce troubleshooting delays, standardize SOPs, automate handoffs, and keep production moving during multi-shift operations without extra screens or heavyweight infrastructure.
Myto connects factory knowledge, AI agents, and hands-free capture into practical automation tools for engineers and operations teams.
Deploy domain-trained AI agents that automate, document, remediate, and follow up on operational work across plant workflows without forcing operators into another application.
Unify SOPs, logs, tickets, machine history, MES, CMMS, SCADA, ERP, and quality data into a manufacturing knowledge layer that powers automation.
Automatically create audit-ready, version-controlled SOPs from captured operator expertise, machine records, troubleshooting paths, and how work actually happens today.
Surface the right SOP, equipment history, likely root causes, and diagnostic checklist when operators or maintenance technicians face equipment issues.
Use wearable AI glasses to record expert maneuvers, shift conversations, troubleshooting steps, and tribal knowledge while operators keep working normally.
Capture what ran, what broke, what was fixed, and what needs attention next, then assemble structured handovers teams actually use.
Myto begins by mapping the work engineers want to improve, including recurring downtime events, undocumented troubleshooting, shift handoff gaps, stale SOPs, and manual follow-ups that slow operators, maintenance teams, and supervisors.
Myto turns real factory knowledge into AI workflows engineers can trust.
AI glasses capture expert work naturally, without forms, clipboards, or extra operator steps.
Agents learn from your SOPs, machine history, tickets, and captured plant activity.
SaaS deployment avoids heavy infrastructure and helps teams move from evaluation to rollout quickly.
Built by a team with experience from Mercedes-Benz, BCG, and Stanford.
Meet the team building practical AI for factory operations.
Myto was founded to bridge a persistent manufacturing gap: frontline teams keep production moving, yet too much critical knowledge remains trapped in binders, disconnected systems, and the heads of senior operators. The founders saw firsthand how easily expertise disappears when experienced workers retire or move on, and built Myto to capture that knowledge before it walks out the door. Drawing on experience from Mercedes-Benz, BCG, and Stanford, the team combines wearable capture technology with agentic AI automation. Their vision is to help factories learn from how the best operators actually work, then turn that knowledge into troubleshooting flows, living SOPs, shift handovers, and AI agents that support real operational decisions.
For engineers, the manufacturing automation process starts by identifying repeatable operational work, connecting relevant plant data, capturing real frontline activity, and deploying AI agents that can assist inside existing workflows. With Myto, automation is built around SOPs, machine history, tickets, operator knowledge, and shift activity rather than generic rules disconnected from the floor.
Speak with the team about your factory workflow automation goals.
Recognized startup accelerator backing for Myto.
Venture backing from a leading technology investor.
Built for secure, scalable plant deployment.
Book a 30-minute discovery call to discuss plant count, agent volume, AI glasses needs, integrations, and deployment fit.
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