Document extraction
Supplier quotes, invoices, receipts and spec sheets read into structured line items — with the original page kept alongside for anyone who needs to check.
OBIStart a project ↗OBIStart a project ↗Not a chatbot in the corner of your website. The boring, expensive work: reading the supplier PDF, triaging the intake, drafting the quote, answering the question whose answer is already in your own files — with a person in the loop wherever being wrong is costly.
Supplier quotes, invoices, receipts and spec sheets read into structured line items — with the original page kept alongside for anyone who needs to check.
Requests arriving by form, email and phone scored against your own rules and put on the right desk, with the reasoning recorded.
Quotes, scopes and follow-ups drafted from your live pricing and past jobs, so the draft is a starting point rather than fiction to correct.
Retrieval over your handbooks, contracts and job history, answering with citations to the document and page it came from.
A door installation company whose inbound texts and calls were answered personally by the owner, so leads that arrived while he was working went unanswered.
An insurer receiving claims by form, email and phone into separate systems, each with a different definition of a claim record.
A laboratory in which samples were tracked on paper and instruments logged to the workstations they were connected to, so reconstructing how a result was produced was a manual exercise.
A single automation is typically $8,000–$25,000 to build. Running it — monitoring, improvement and model costs — is $2,000–$6,000 per month.
Any model can be wrong, so we design for it: answers are retrieved from your documents with citations, outputs are validated against rules, and consequential steps go to a person. An evaluation set runs before rollout; every decision is logged after.
Into infrastructure you control. We use business tiers with no-training guarantees, keep documents in your storage, and can run smaller models entirely inside your environment when the data demands it.
When somebody spends hours a week re-typing information that already exists elsewhere, yes. If nobody is doing that, an automation will not pay for itself — and we will say so.