AI Automation Built for Process Manufacturing

Manufacturers use AI to reduce downtime, improve troubleshooting, capture expert knowledge, standardize SOPs, and support frontline teams. Myto is built for manufacturing facilities, industrial production plants, and factories facing unplanned downtime, shift-handover gaps, senior-operator retirements, and disconnected operational systems. Teams connected to Mercedes-Benz, Audi, Amazon, Google, Stanford, BCG, and Y Combinator are represented in Myto’s customer and credibility ecosystem.

The best AI for manufacturing is usually not a generic chatbot. It should understand plant context, equipment history, SOPs, ticket logs, machine behavior, and frontline workflows. Myto uses domain-trained AI agents built from your plant’s operational data and captured operator knowledge, so the system can troubleshoot, document, automate follow-ups, and support decisions inside existing MES, CMMS, SCADA, ERP, and quality systems.

Myto sits on top of existing systems rather than replacing them. It ingests SOPs, machine logs, maintenance tickets, MES, SCADA, CMMS, EAM, ERP work orders, and quality-management records, then structures that information into a manufacturing knowledge layer. This lets AI agents connect machine history, procedures, troubleshooting flows, and shift notes without requiring a major system migration or heavy infrastructure project.

Myto is designed for fast SaaS deployment with minimal IT lift. Setup depends on plant count, source systems, agent volume, and AI glasses rollout, but the platform avoids heavy infrastructure requirements. Most implementation work focuses on connecting operational data, identifying priority workflows, configuring agents around real plant processes, and enabling frontline teams with a simple operator experience from the start.

No. Myto is not meant to rip out your MES, CMMS, SCADA, ERP, or EAM. It acts as an intelligence and workflow layer above those systems. Your existing tools remain systems of record, while Myto captures frontline knowledge, surfaces relevant context, creates SOPs, helps diagnose issues, documents actions, and coordinates operational follow-up where traditional systems often leave gaps.

Myto can learn from SOPs, machine history, ticket logs, maintenance records, shift-handover notes, captured operator video and audio, troubleshooting paths, work orders, and other plant-specific records. The goal is to train AI agents on how your factory actually runs, not on generic internet data. As new work is captured, the knowledge base compounds and becomes more useful over time.

Myto uses enterprise SaaS subscription pricing. Cost varies based on factors such as the number of plants, AI agent volume, operational use cases, integrations, and AI glasses headcount. The recommended next step is a 30-minute discovery call, where Myto can assess your workflow priorities, deployment scope, and likely value areas before preparing a quote.

Yes. Myto is built for frontline operators, maintenance technicians, shift leads, and other deskless manufacturing workers. The experience is designed to avoid extra portals, forms, and unnecessary screens. AI glasses capture knowledge hands-free, while the platform can surface SOPs, checklists, troubleshooting guidance, and shift context in the natural flow of work.