AI Doc Intelligence.
It reads the archive, you approve the document.
A complex document is not one extraction task but dozens, so AI Doc Intelligence runs 36 small agents with explicitly declared scopes, concurrently — total time is the slowest agent in each wave, not the sum of them. 300-page archive in, finished and source-cited document out, in two to three minutes.
From question to finished document.
Recursive crawl across sites, registries, filings and news — hundreds of pages per subject.
Candidate documents scored on match and completeness; only the winner is used.
Long reports chunked and indexed; each agent sees only its own passages.
Every figure re-derived independently; accounting identities enforced.
Final document produced with a reasoning trace behind every number.
Five waves, running in parallel.
Crawl every available source — registry, profile, people, financials, commercial, news.
Pull the declared fields — each read exactly as printed, never inferred.
A sceptical verifier per group re-derives each extraction; anything unconfirmed is discarded.
Read the financial or technical statements line by line, without lumping.
Compose the document in the required format, with citations attached to every value.
What makes it usable in an enterprise.
Written only when evidence supports it — otherwise left blank, never invented.
Values tied to the target identifier; a same-named company's data is rejected.
Totals reconciled against an independent source; divergence discards the extraction.
Residual buckets may never hold a total; every line item is extracted separately.
All arithmetic runs in code, never in the model — agents only read what is printed.
Prior values cleared, so one subject's figures never appear in another's output.
Your technical archive, turned into documents on demand.
A credit memo and a safety data sheet are the same problem in different clothes: scattered sources, strict formats, figures that must be exact, and a specialist whose time goes to searching rather than deciding.
Customer- and region-specific safety data sheets assembled from your existing specifications, hazard data and regulatory templates — every value traced to its source.
Built on request. The agent identifies which specification applies to the stated application, compares versions, and flags anything it cannot verify.
Dozens of documents pulled from across the business against a fixed checklist. The swarm gathers, checks completeness and assembles the response set.
Drafted from source records with a full audit trail, so the reviewing team validates evidence rather than re-collecting it — BRSR, ESG, statutory disclosures.
“Which specification applies here?” answered against your authorised corpus with page-level citations — instead of opening twenty PDFs.
Service reports, fragmentation and vibration data, field notes and soil reports read automatically — including scans and handwriting.
Hours to days, becomes minutes.
- A specialist opens twenty or more PDFs and folders
- Copies values out by hand and compares versions
- Drafts the document in the required format
- Sends for approval — then repeats for the next customer
- A person states the requirement in plain language
- The swarm crawls, retrieves and extracts in parallel
- An independent verifier re-derives every value
- The document is generated; your specialist approves
Coverage is declared in a registry, not in code — adding a field adds it to the swarm with no new agent programmed. An MSDS template becomes a specification template becomes a tender checklist.
Cite-or-blank leaves an unverifiable field empty rather than plausibly filled — which is what makes generated documentation safe to put in front of a regulator or a customer.
Bring us your hardest document.
Send one real example and the format it has to land in. We will run it through the swarm and show you the output with its citations.