Knowledge Capture
Capture expert troubleshooting, shift handoffs, and machine-specific know-how through wearable AI glasses while operators work normally, with no clipboards, extra screens, or added documentation burden.
Myto brings smart glasses and AI-powered remote support into the industrial workflow, helping frontline teams capture expertise, troubleshoot equipment, and access the right context without leaving the floor. Built for manufacturers, operators, and maintenance teams across North America, the platform supports faster decisions, stronger documentation, and less dependence on one expert being physically present.

AI glasses and workflow software that capture, structure, and activate frontline manufacturing knowledge.
Capture expert troubleshooting, shift handoffs, and machine-specific know-how through wearable AI glasses while operators work normally, with no clipboards, extra screens, or added documentation burden.
Surface SOPs, equipment history, diagnostic checklists, and likely root causes when operators or maintenance techs face machine issues on the production floor.
Give operators, technicians, inspectors, and shift leads AI tools in the flow of work, including instant guidance, documentation support, and hands-free operational assistance.
Ingest SOPs, logs, tickets, MES, CMMS, SCADA, ERP, and machine history into a structured manufacturing knowledge layer that powers smarter frontline support.
Automatically generate clear, version-controlled SOPs from captured operator expertise, machine history, troubleshooting patterns, and real workflows across shifts and equipment.
Capture what ran, what broke, what was fixed, and what the next shift needs to watch, then assemble structured handover notes teams actually use.
Myto turns smart glasses into a practical AI layer for manufacturing operations. Operators keep working hands-free while the platform captures what happens, retrieves the right context, and transforms real workflows into reusable knowledge. From remote support to troubleshooting and handover documentation, teams can reduce delays, standardize expertise, and keep production moving without adding paperwork.

Myto connects wearable capture, manufacturing data, and agentic AI into one frontline-ready platform.
Operators keep working normally while glasses capture expertise, decisions, and troubleshooting steps.
Enterprise SaaS setup requires minimal IT lift and no heavy factory infrastructure.
AI learns from SOPs, logs, tickets, machine history, and real frontline activity.
Founded by a team with experience from Mercedes-Benz, BCG, and Stanford.
Meet the team building manufacturing intelligence for frontline work.
Myto was founded to solve a problem every manufacturer knows: the most valuable operational knowledge often lives in people’s heads, old binders, disconnected systems, and informal shift conversations. The founders saw firsthand how much expertise can disappear when experienced operators retire or move on, then built a platform to capture that knowledge before it walks out the door. Combining experience from Mercedes-Benz, BCG, and Stanford, Myto pairs wearable capture technology with agentic AI automation. The vision is simple: give frontline workers tools as intelligent as the products they build, while helping plants transform real operational work into SOPs, troubleshooting flows, training content, and AI agents that improve over time.
Yes. Augmented reality glasses exist and are increasingly used in industrial environments for hands-free access to instructions, remote guidance, knowledge capture, and troubleshooting. Myto applies wearable AI glasses to manufacturing workflows, capturing what operators see and do, then structuring that knowledge into SOPs, diagnostic flows, shift handovers, and AI-powered support.
Get answers about pricing, deployment, integrations, and operator adoption.
Backed by a leading startup accelerator.
Supported by a major technology investor.
Built by operators with industrial experience.
Book a 30-minute discovery call to discuss plant count, AI glasses headcount, integrations, and deployment goals.
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