AI SOP Generation
Automatically create clear, version-controlled SOPs from captured operator expertise, existing procedures, logs, tickets, and machine history, replacing outdated static documents with procedures your frontline teams actually use.
Myto helps manufacturers automate standard operating procedures by turning real operator work, machine history, tickets, logs, and tribal knowledge into usable, version-controlled SOPs. Built for frontline teams, the platform combines AI glasses, operational data integration, and agentic workflows so plants can document work accurately, troubleshoot faster, and keep production moving without adding paperwork or heavy IT infrastructure.

Automate SOP creation, knowledge capture, troubleshooting, handoffs, and workflow follow-up across manufacturing operations.
Automatically create clear, version-controlled SOPs from captured operator expertise, existing procedures, logs, tickets, and machine history, replacing outdated static documents with procedures your frontline teams actually use.
Use wearable AI glasses to capture troubleshooting steps, expert maneuvers, shift notes, and tribal knowledge as operators work normally, without paperwork, clipboards, or added steps.
Ingest SOPs, logs, tickets, machine history, MES, SCADA, CMMS, EAM, ERP, and quality data into one structured manufacturing knowledge layer for frontline AI.
Deploy domain-trained AI agents that open tickets, document work, schedule follow-ups, draft handovers, and surface context inside manufacturing workflows without rip-and-replace disruption.
Surface the right SOP, equipment history, root-cause guidance, and diagnostic checklist when operators or maintenance technicians face machine issues on the floor.
Automatically assemble structured shift handover documentation from operator activity, open issues, repairs, and watch items so incoming teams get accurate operational context.

Myto starts by capturing how experienced operators actually perform work using AI glasses and existing operational records. The system observes troubleshooting, machine handling, handoffs, and expert decisions without asking frontline teams to stop and document manually.
Myto turns real factory knowledge into practical SOP automation that frontline teams can use immediately.
Operators keep working normally while AI glasses capture valuable expertise in the background.
Enterprise SaaS deployment avoids heavy infrastructure and reduces the burden on internal IT teams.
Myto learns from factory systems and real frontline activity, improving operational intelligence over time.
AI agents automate documentation, follow-up, remediation, and workflow coordination inside plant operations.
Built by manufacturing, strategy, and AI product operators.
Myto was founded to solve a problem manufacturing leaders know too well: the most valuable operational knowledge often lives only in the heads of experienced frontline workers. The founders saw firsthand how outdated binders, tribal knowledge, and disconnected systems slow teams down, even in an industry contributing trillions to the economy. Drawing on experience from Mercedes-Benz, BCG, and Stanford, Myto combines wearable capture technology with agentic AI automation. The vision is simple: capture manufacturing knowledge before it walks out the door, then put that intelligence to work through SOP generation, troubleshooting support, handoff documentation, and autonomous workflow assistance.
SOP in automation means using software to create, update, deliver, and enforce Standard Operating Procedures inside the workflow. In manufacturing, that can include converting captured operator expertise into SOPs, surfacing the right procedure during troubleshooting, documenting completed steps, and keeping work instructions aligned with current machine history, tickets, logs, and frontline practices.
Get clear answers from a manufacturing AI workflow expert.
Backed by a leading startup accelerator.
Supported by a major technology investor.
Built by Mercedes-Benz, BCG, and Stanford alumni.
Book a 30-minute discovery call to discuss plant count, operator workflows, AI glasses needs, and deployment fit.
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