Your team owns it
Your developers can contribute to the codebase while we build it, and take over ownership when they’re ready. You keep the code, the database, and the deployment pipeline.
We build it with AI coding agents, connect it to your equipment and the rest of your systems, and work alongside your team until they own the codebase. That includes a production MES and ERP for an electric motor manufacturer.
See what we’ve builtSchedules live on a whiteboard or in a spreadsheet. Travelers and quality records are on paper. Test results stay on the test stand. People re-key numbers from one system into the next, and one or two people know how it all fits together.
AI tools now make it easy for anyone to add another script or app on top. Each one works on its own. Without shared names, schemas and interfaces, every addition makes the whole harder to trust, and unsafe for an AI agent to touch.
So we start underneath: one naming convention for parts, lots, work orders and stations, schemas for the data that matters, one typed interface between systems, and MCP servers that let agents read by default and ask a person before they write.
We built the MES and ERP an electric motor manufacturer runs on. It covers production, quality, purchasing, inventory, and shipping. The client owns the code, database, and deployment pipeline.
Walk the plantRun a unit through the plant. Each screen is a simplified, illustrative version of what an operator sees at that station. Every scan and result lands on the unit’s record, so the unit can be traced back to the material lots it was built from, and each lot forward to every unit it went into.
In the real MES
Purchasing and inventory run in the same system as production. Material lots are recorded as they come in.
Each station gets its work order and the operator instructions for that step. Serial and lot scans attach parts to the unit.
We connected controller signals to the MES so tests and measurements stay attached to the production record.
Quality workflows and the audit history live on the same records as production.
Shipping runs from the same data. The client owns the code, the database, and the deployment pipeline.
Your developers can contribute to the codebase while we build it, and take over ownership when they’re ready. You keep the code, the database, and the deployment pipeline.
We build MCP servers that connect data across your organization, so an AI application can work with it. Each server sets what the application can read, what it can do, and which steps need a person’s approval.
We set up agentic processes that check the work as it happens and catch issues early. When an agent finds something, it goes to the person who can fix it.
About Domain Labs
We build custom operations software with AI coding agents, connect it to the systems and equipment around it, and set the client’s team up to keep building it.
Domain Labs is run by Matthew Rundle. Before Domain Labs, Matthew built and led a team of six data scientists at Expedia / Vrbo.
MES and ERP in production: work orders, operator instructions, serial and lot traceability, quality, and machine interfaces.
Agents that check the work as it happens and send what they find to the person who can fix it.
The data an AI application can read, the actions it can take, and the steps that need a person’s approval.
Scribe: draft notes and proposed billing codes that the clinician edits and approves.
Custom applications for businesses with a lot of moving parts.
Tell us what runs the operation today and what you want to change. Or write to us directly.
contact@domainlabs.dev↗