From Upload to Source-Linked Evidence
From raw file upload to source-linked findings a reviewer can check: how a document set moves through DataStruct AI.
Upload Documents
Drag and drop PDFs (including scans), DOCX, XLSX, CSV, HTML, or plain text files. Upload individually or in bulk (up to 50 at once). DataStruct AI deduplicates automatically by content hash.
Automated Processing
A 9-stage pipeline extracts text, detects sections, splits sentences, identifies entities and metrics, creates searchable chunks, and generates vector embeddings.
Evidence Programmes
Write your requirements in your own words and run them against a named subject — a supplier, a site, a contract. You get one finding per requirement with the candidate evidence attached. In Founding Customer workspaces each finding separates supporting passages from sources cited but not confirmed and from merely related material.
Search & Ask
Hybrid search combines keyword matching, semantic vectors, and metadata filters. Ask natural language questions and get evidence-backed answers with citations.
Analyse & Extract
Define extraction templates, run compliance rule packs, compare documents side-by-side, and build benchmark groups across your document corpus.
Review & Export
Reviewers confirm, reject, or mark findings for follow-up; each decision is attributed and logged. Extraction datasets export to CSV, XLSX or JSON and document reports to HTML, DOCX or JSON.