Extraction is unrepeatable
Run it twice and you get two different answers. There is no baseline to check a revision against, so every new document version restarts the work.
Document Intelligence · Requirements, verified
Requirements, extracted and verified against the source
Specifications, tenders and standards arrive as hundreds of pages of prose. GraphBit turns them into a structured requirement set where every line is traceable back to the clause it came from — and validates that the set is complete.
REQ-0142Verified
Housing material shall be stainless steel 1.4404 with a surface roughness of Ra ≤ 0.8 µm on all product-contact surfaces.
§ 4.2.1 Materials · p. 87 · verbatim match
REQ-0143Requires review
Cleaning cycle temperature to be “in line with standard CIP practice.”
§ 4.2.4 Cleaning · p. 91 · non-testable wording, no value given
REQ-0144Incomplete
Pressure rating per referenced annex.
§ 5.1 Operating limits · p. 104 · Annex C not supplied
every line referenced to its clausenothing inferred
entry 01the problem today
A requirement you missed is a requirement you agreed to.
Specifications, tenders and standards are written as prose, not as lists. Requirements are buried in subclauses, spread across annexes, and cross-referenced into documents that were never attached.
Extracting them is manual work done under bid pressure. Two engineers reading the same document produce two different requirement sets, and nobody can prove either one is complete. Coverage is asserted, not demonstrated.
The consequences do not surface during the bid. They surface at acceptance testing, in a change order, or in a claim — at which point the contract already says you agreed.
Coverage is unprovable
You can show which requirements you found. You cannot show that there are no others — which is the question that matters in a dispute.
Generic AI makes it worse
A model that summarises a specification produces a plausible requirement list with no way to tell the extracted lines from the inferred ones. In a contractual document that is not an improvement.
entry 02how it works
Extraction you can audit, not a summary you have to trust.
The same engine that validates tax transactions against the law validates requirements against the document. The model reads; the deterministic core decides what counts and what gets flagged.
Ingest
Specifications, tenders, standards and supplier documentation across PDF, Word, Excel and scanned formats — including the annexes and referenced documents.
Extract
Every requirement-bearing statement is lifted with its exact source location: document, section, page, clause. Extracted text stays verbatim.
Structure
Requirements are classified by type, normalised into a consistent schema, and linked to the clauses they depend on — so a change in one surfaces everywhere it propagates.
Validate
Each requirement is checked back against its source and against the document's own internal references. Ambiguous and unresolvable items are flagged, not resolved by guess.
entry 03the verdict system
The same four states as the rest of the platform.
Nothing is silently resolved, and the correct lines get a verdict too — which is what makes the coverage figure mean anything.
VerifiedThe requirement matches its source clause exactly, with the location recorded.
ConflictThe requirement contradicts another clause or a referenced standard. Both sides of the conflict are named.
Requires reviewThe wording is not testable as written — no value, no tolerance, or an undefined term. It goes to an engineer with the passage attached.
IncompleteThe clause points to a document or annex that was not supplied. The missing reference is named rather than assumed.
entry 04where it applies
Wherever a document creates an obligation.
Engineering specifications
Customer specs turned into a traceable requirement baseline before design starts, and re-run against every revision.
Tenders and RFQs
Every obligation in a tender surfaced during the bid, with the ones you cannot yet answer flagged rather than glossed.
Standards and regulation
Normative requirements extracted from standards and mapped against your own documentation to show where coverage exists.
Supplier documentation
Incoming supplier declarations checked against what the specification actually demanded, clause by clause.
In production at industrial manufacturers across automotive and process engineering.
entry 05the engine
Same core. Different corpus.
Document Intelligence runs on GraphBit — the same Rust-core deterministic engine behind the tax products. The graph holds your specifications and standards instead of tax law; the guardrails, the record and the reproducibility are identical.
Certified and assessed
ISO/IEC 27001TISAXEU AI Act — Art. 12 / 14 / 15Patent pending
Deployable inside your environment. Sensitive content is tokenised before any external model contact, so specification data does not leave your perimeter.
entry 06next step
Two hours. One specification. You leave with findings.
The working session: bring one real specification and we extract it live. You leave with the requirement set, the references, and the list of everything the document does not actually resolve.
Requirement setStructured
Every requirement-bearing line, lifted verbatim, classified and normalised into one schema.
Source referencesTraceable
Each line linked to the document, section, page and clause it came from.
Open itemsFlagged
Everything the document does not actually resolve — named, not guessed.
yours to keepnothing inferred