AI systems for manufacturers.
I build the private digital operating layer for factories: owned infrastructure, AI agents, custom industrial software, company knowledge systems, and product pipelines that fit the way the operation already works.
What I build
One operating layer instead of disconnected tools.
Most manufacturing software creates another place for the team to update. I build the opposite: systems that connect orders, product data, production context, documents, customers, and AI into one environment the company owns.
- AI agents and automations that work inside existing team workflows.
- Custom industrial software for orders, production, customer portals, catalogs, and internal operations.
- Private AI infrastructure with databases, storage, backups, access control, and agent gateways.
- Company knowledge systems that make procedures, files, conversations, and know-how usable by both people and AI.
- AI product and content pipelines for product concepts, catalogs, documentation, and marketing material.
Best fit
For factory owners and operations leaders who need practical AI.
This is for manufacturers that want AI in the business without renting their operating core from a stack of disconnected SaaS products. The usual starting point is one painful workflow: product design, wholesale ordering, order tracking, document handling, customer communication, or internal knowledge retrieval.
Engagement
Pilot first, then the build.
The first step is a narrow pilot on a real workflow. If it proves useful, the system expands into the durable operating layer: server, agents, software, knowledge base, and handover.
- 01 Pilot: one workflow automated end to end, fixed scope, measured on real use.
- 02 Build: the private software and infrastructure that connects the proven pieces.
- 03 Handover: your company owns the data, software, and operating knowledge.
A good first project is a workflow that already costs time: quoting, product design, order tracking, customer communication, or internal document search.