PDF, DOCX, XLSX and scans in Azerbaijani, Russian, English or a mix become structured requirements, each carrying its type, importance and a citation to document, section and page.
Reading a statement of work by hand to decide what it actually requires is slow, and the result lives in one person’s notes where nobody else can check it. SpiderNet extracts requirements as structured records — type, mandatory status, importance, taxonomy mapping and confidence — each cited to where in the document it came from, so the reading is reviewable rather than trusted.
Ingests PDF, DOCX, XLSX, scanned PDFs and free text.
Handles Azerbaijani, Russian, English and mixed-language documents.
Each requirement carries type, importance and taxonomy mapping.
Every extracted artifact cites document, section and page.
Confidence is recorded alongside each requirement.
Yes — scanned PDFs are ingested alongside PDF, DOCX, XLSX and free text.
Azerbaijani, Russian, English and mixed-language documents are all supported.
Every artifact preserves traceability to document, section and page.
A requirement excludes a supplier only after a person confirms it is mandatory.
Specialised agents widen the candidate pool beyond the suppliers you already know.
Every material attribute carries its source, date, method, confidence and verification status.
Five separate matching layers, and every score opens onto its evidence.
See the complete product: problem, features, how it works and deployment.
Request a demo to turn a real statement of work into an evidence-backed supplier shortlist.