docpilot is a document-automation service operated from the United Kingdom, currently in a closed beta. It turns uploaded PDF documents (purchase orders, invoices and similar) into structured, evidence-linked data that a human reviews and approves. Contact: support@docpilot.example (placeholder address — a real support inbox will replace it before launch).
Extraction can run entirely locally (local open-source models, or the deterministic demo extractor) — in that mode document content never leaves the server. When API extraction is enabled, the text of your document is sent to Anthropic (our only subprocessor for extraction) to extract fields, under Anthropic's commercial API terms. If your organization brings its own API key (BYOK), those calls are made with your organization's credentials. We do not sell your data, and we do not use your documents to train models.
docpilot learns from your reviewers' corrections to improve future extractions: a registry of confirmed values, per-sender field suggestions, evidence-location priors, and a teaching pool of fully verified documents. All of this learning is scoped to your organization — nothing learned from your documents is applied to any other tenant. Organization admins can switch each learning behaviour off (or all of them at once) and purge learned data from the Admin → Learning panel.
docpilot sets exactly one cookie: docpilot_session, an httpOnly session cookie that keeps you signed in. It is strictly necessary for the service to function, which under UK PECR does not require consent. There are no analytics cookies, no advertising cookies and no third-party cookies of any kind — which is why this site deliberately shows no cookie banner: there is nothing to consent to.
You have the right to access, rectify, erase, restrict, port, and object to the processing of your personal data, and to complain to the ICO. During the beta, exercise these rights by emailing support@docpilot.example — the deletion tooling described above is how we honour erasure requests, completely and verifiably.
The beta runs as a single-instance deployment: your data sits in that instance's own database and file store, encrypted in transit (TLS) when accessed over the public internet. Organization-supplied API keys are stored encrypted at rest.