AI Workflow Agents
Deploy domain-trained AI agents that automate, remediate, document, and follow up on plant operations work while sitting on top of your MES, CMMS, SCADA, and ERP systems.
Manufacturing process automation works best when it starts with real frontline work, not another disconnected system. Myto helps plants capture operator expertise, integrate machine and maintenance data, generate usable SOPs, and deploy AI agents that troubleshoot, document, and follow up inside existing workflows—so teams can reduce downtime, preserve knowledge, and keep production moving.
Myto automates frontline manufacturing workflows by combining AI agents, wearable capture, plant data, and operational documentation.
Deploy domain-trained AI agents that automate, remediate, document, and follow up on plant operations work while sitting on top of your MES, CMMS, SCADA, and ERP systems.
Surface the right SOP, equipment history, likely root causes, and diagnostic checklists when operators or maintenance technicians face machine problems on the production floor.
Use wearable AI glasses to record operator expertise, troubleshooting actions, and shift knowledge as work happens naturally, with no clipboards, portals, or extra steps.
Ingest SOPs, logs, tickets, machine history, MES, SCADA, CMMS, EAM, ERP, and quality data into a structured manufacturing knowledge base.
Automatically turn captured frontline knowledge and operational data into audit-ready, version-controlled SOPs and work instructions that reflect current plant practices.
Replace incomplete whiteboard notes and handwritten logs with AI-generated shift handovers that summarize what ran, what failed, what changed, and what needs attention.
Start by mapping where production teams lose time: recurring machine faults, handwritten shift notes, outdated SOPs, delayed maintenance follow-ups, and expert-only troubleshooting. Myto helps prioritize automation around workflows that directly affect uptime, quality, and frontline productivity.
Myto helps manufacturers automate real work, not just digitize disconnected tasks.
Operators keep working normally while AI glasses capture expertise in the flow of production.
SaaS deployment minimizes IT lift and avoids heavy infrastructure or rip-and-replace projects.
Built for frontline teams with simple experiences that do not require extra portals.
The system strengthens as it learns from factory data, workflows, and operator activity.
Built by manufacturing, strategy, and AI operators.
Myto was founded to bridge a critical manufacturing gap: frontline workers still depend on outdated binders, disconnected systems, and undocumented tribal knowledge, even as factories produce increasingly complex products. The founders saw firsthand how much operational expertise lives only in people’s heads and built Myto to capture it before it walks out the door. With experience from Mercedes-Benz, BCG, and Stanford, the team combines wearable capture technology with agentic AI automation to help manufacturers learn from how their best operators actually work. Myto’s vision is to give frontline workers tools as intelligent as the products they build.
The best MES software depends on your production environment, system maturity, and integration needs. Myto is not designed to rip and replace your MES. Instead, it sits on top of MES, CMMS, SCADA, ERP, logs, tickets, and SOPs to create an AI-powered operational knowledge layer that helps frontline teams troubleshoot, document, and act faster.
Get practical guidance on automation steps for your plant.
Recognized backing from leading startup accelerator.
Supported by a respected technology investor.
Trusted by teams connected to industrial leaders.
Book a 30-minute discovery call to discuss plant count, workflows, AI glasses needs, and the right automation rollout path.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.