Maintenance Intelligence
Capture maintenance expertise, surface troubleshooting steps, and reduce mean-time-to-repair with an AI knowledge layer that works alongside your existing CMMS or EAM.
Myto helps manufacturing teams plan maintenance before small issues become costly downtime. By combining machine history, SOPs, operator know-how, AI troubleshooting, and autonomous workflow agents, your plant can schedule follow-ups faster, preserve expert knowledge, and keep production moving without adding extra screens, paperwork, or heavy IT infrastructure.
AI-powered maintenance planning tools that connect equipment data, operator knowledge, and workflow automation.
Capture maintenance expertise, surface troubleshooting steps, and reduce mean-time-to-repair with an AI knowledge layer that works alongside your existing CMMS or EAM.
Surface the right SOP, diagnostic checklist, machine history, and likely root causes when technicians encounter equipment problems on the floor.
Attack time-to-diagnosis, documentation gaps, and tribal-knowledge loss with AI workflows that help teams prevent and resolve production interruptions faster.
Ingest SOPs, logs, tickets, machine history, MES, SCADA, CMMS, ERP, and quality data into a structured manufacturing knowledge base.
Use autonomous AI agents to open tickets, document issues, schedule follow-ups, draft handover notes, and move operational work forward.
Capture what was running, what broke, what was fixed, and what the next shift should monitor through structured AI-powered handoffs.
Myto ingests SOPs, machine history, maintenance tickets, MES, SCADA, CMMS, EAM, ERP, and quality data to build a connected operational knowledge layer that reflects how your plant actually runs.
Myto turns real manufacturing work into practical intelligence your teams can use.
AI glasses capture expertise while operators keep working normally, with no added paperwork.
SaaS deployment is designed for fast setup, minimal IT lift, and no heavy infrastructure.
Agents learn from your plant data, not generic public-internet models or disconnected templates.
Knowledge improves as machine events, tickets, handovers, and operator activity keep flowing.
Meet the team building intelligent manufacturing workflows.
Myto was founded to bridge a growing gap in manufacturing: frontline workers still rely on binders, tribal knowledge, and disconnected systems even as plants produce increasingly complex products. The founders saw firsthand how much operational knowledge lives only in people’s heads and built Myto to capture it before it walks out the door. Combining experience from Mercedes-Benz, BCG, and Stanford, the team created a platform that uses wearable capture technology and agentic AI to learn how factories actually run, generate usable documentation, assist troubleshooting, and coordinate follow-up work. Myto’s vision is simple: give frontline workers tools as intelligent as the products they build.
Predictive maintenance scheduling uses equipment history, maintenance tickets, SOPs, troubleshooting patterns, and operator knowledge to plan follow-up work before problems become unplanned downtime. Myto adds AI agents that can surface context, recommend next steps, document activity, and schedule maintenance follow-ups inside the existing manufacturing workflow.
Speak with our team about your maintenance workflow and data environment.
Recognized startup backing and operational credibility.
Supported by leading enterprise technology investors.
Fast deployment with minimal IT burden.
Tell us about your plants, maintenance workflow, and operational systems. We’ll help you evaluate fit, rollout scope, and next steps.
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