Prevent Unplanned Downtime in Manufacturing

Unplanned downtime in manufacturing is any unexpected halt in production caused by equipment failure, missing information, operator uncertainty, maintenance delays, or process breakdowns. It is especially costly because teams are reacting under pressure, often without the right SOP, machine history, or expert knowledge available. Myto helps reduce these stoppages by surfacing context and capturing knowledge before problems repeat.

Myto reduces downtime by attacking the operational causes behind slow diagnosis and repeat failures. It pulls machine history, SOPs, maintenance tickets, and captured operator knowledge into one AI-powered knowledge layer. When an issue appears, operators can access likely causes, diagnostic checklists, and relevant troubleshooting history immediately instead of waiting for the one expert who knows the machine.

Myto is built to work alongside MES, CMMS, SCADA, EAM, ERP, quality systems, machine logs, maintenance tickets, SOP libraries, and shift-handover records. It does not require a rip-and-replace implementation. The platform ingests existing operational data and structures it into a manufacturing knowledge base that powers troubleshooting, documentation, and agentic workflow automation.

Myto is designed for frontline manufacturing teams, including operators, maintenance technicians, quality inspectors, shift leads, reliability engineers, plant managers, operations directors, and continuous-improvement leaders. The experience is intentionally simple for workers on the floor, while giving leadership better visibility into recurring issues, knowledge gaps, handoffs, and downtime patterns across shifts or plants.

Myto captures tribal knowledge through hands-free AI glasses that record work as experienced operators troubleshoot, repair, inspect, or hand off a shift. The captured video, audio, and context are automatically structured into SOPs, diagnostic flows, training content, and reusable knowledge. Operators keep working normally, so valuable expertise is preserved without adding paperwork or extra screens.

No. Myto is delivered as enterprise SaaS with fast setup, minimal IT lift, and no heavy infrastructure requirement. It is built to sit on top of existing manufacturing systems rather than replace them. Deployment scope depends on plant count, integrations, agent volume, and AI glasses headcount, but the goal is a simple operator experience from day one.

Pricing is based on an enterprise SaaS subscription and varies by plant count, agent volume, AI glasses headcount, and deployment scope. Manufacturers typically start with a discovery conversation to map downtime challenges, target workflows, existing systems, and rollout priorities. Myto offers a 30-minute discovery call through gomyto.com to develop the right quote and implementation plan.

Myto is available to manufacturers, industrial operators, and plant operations leaders across North America. Because it is SaaS-based, teams can deploy it without building heavy new infrastructure. It is especially useful for factories dealing with recurring equipment issues, retiring senior operators, inconsistent shift handoffs, outdated SOPs, or slow maintenance troubleshooting across multiple shifts.