AI that ships.
Not a demo.

Every operation runs on documents nobody reads until something breaks. SOPs, spec sheets, customer contracts, return policies, the Slack channel from 2022 where the install procedure got hashed out.

We turn that corpus into a copilot your people talk to in plain English. It cites sources, it knows when it doesn't know, and it hands off to a human when the answer matters. The retrieval layer is tuned to your documents — not a generic chatbot over a file share.

Deployment stays inside your boundary. Your data doesn't train anyone's model but yours.

A chatbot tells you what to do. An agent does it. Reads an email, opens the ticket, pulls the order, drafts the reply, flags the exception for a human. The boring work you've been meaning to automate — except now the automation handles the fuzzy parts.

We build agents with clear tool surfaces and narrow scopes. Each step is logged. Each action is reversible or requires approval. You get the leverage of an LLM without the 3 AM page because it hallucinated a refund.

When the problem is the right shape, agents collapse work that used to take a team into work that takes a queue.

Label on backwards. Seal off-center. Wrong SKU in the tote. A PO hiding in a fax-quality PDF. The repetitive visual work that wears people out and still gets missed — exactly what a trained vision model is good at.

We train on your data, not a benchmark set. Cameras on the line, inference at the edge or in the cloud, decisions logged with the image so you can audit anything the model flagged.

On the document side: extract structured data from unstructured scans. Purchase orders, bills of lading, invoices, packing slips. Into your ERP. Same day.