AI Diagnostics
Surface equipment history, SOPs, diagnostic checklists, and likely root causes when operators face an issue, helping teams reduce wait time and solve recurring problems faster.
Myto helps manufacturing teams diagnose equipment issues faster by turning machine history, SOPs, maintenance tickets, and operator expertise into AI-guided troubleshooting. Frontline workers get the right context at the moment of need, while AI agents document findings, coordinate follow-ups, and keep production moving without adding screens, forms, or heavy IT work.
AI-powered tools that help manufacturing teams diagnose, document, and resolve equipment issues faster.
Surface equipment history, SOPs, diagnostic checklists, and likely root causes when operators face an issue, helping teams reduce wait time and solve recurring problems faster.
Capture and structure maintenance expertise, recurring fixes, and asset history into reusable troubleshooting flows that help technicians reduce mean-time-to-diagnosis and repair.
Attack unplanned downtime by combining AI troubleshooting, captured operator know-how, and documentation automation to help teams respond faster when machines act up.
Ingest SOPs, machine logs, tickets, MES, SCADA, CMMS, EAM, ERP, and quality data into a structured knowledge layer for plant operations.
Use AI glasses to record expert troubleshooting, shift handoffs, and physical work as it happens, without interrupting the operator’s normal workflow.
Deploy autonomous manufacturing AI agents that document work, open tickets, schedule follow-ups, draft handovers, and coordinate operational actions inside existing workflows.
Myto connects SOPs, maintenance tickets, machine history, logs, and captured operator knowledge into a structured manufacturing knowledge base. This gives the AI context about each asset, prior issues, known failure modes, and how experienced teams actually resolve problems.
Myto turns frontline expertise into actionable intelligence teams can use immediately.
AI glasses capture real troubleshooting expertise while operators continue working naturally on the floor.
Myto learns from your SOPs, machine history, tickets, and actual frontline workflows.
SaaS deployment requires minimal IT lift and no heavy infrastructure or rip-and-replace project.
Founded by operators with experience across Mercedes-Benz, BCG, Stanford, and industrial workflows.
Meet the team building AI for frontline manufacturing.
Myto was founded to bridge a critical manufacturing gap: frontline teams still rely on binders, disconnected systems, and the undocumented knowledge of senior operators, even as factories produce some of the world’s most advanced 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. Combining experience from Mercedes-Benz, BCG, and Stanford, the team created a platform that learns from real factory work, structures that knowledge, and puts it back into action through AI troubleshooting, automated documentation, and agentic workflows. Myto’s vision is simple: frontline workers deserve tools as intelligent as the products they build.
AI-guided troubleshooting uses plant-specific knowledge to help operators diagnose issues in real time. Myto pulls from SOPs, machine history, ticket logs, captured expert workflows, and operational data to surface likely root causes, relevant checklists, and next steps. Instead of waiting for the one senior technician, frontline teams get guided support when the problem happens.
Get practical answers for your plant’s troubleshooting workflows.
Recognized startup accelerator backing Myto.
Venture backing for scalable industrial AI.
Built by experienced manufacturing and AI operators.
Book a 30-minute discovery call to review your plant count, data sources, troubleshooting workflows, and AI glasses needs.
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.