Built for regulated document workflows

Find the evidence behind your compliance answers

Compliance teams spend hours finding evidence that already exists. DataStruct finds the supporting documents hidden across complex document sets, shows you the source passage, and tells you when it cannot find one.

Or test our free ESG disclosure checker, contract analyser, or policy summariser.

Source-linked
Passages kept with their claims
Evidence-backed
Q&A with verification checks
Human review
Built into the workflow
Logged
Audit log on sensitive actions

Your documents contain the answers. Your team just cannot find them fast enough.

Regulated teams waste hours every week reading long PDFs, copying facts into spreadsheets, checking required disclosures, comparing versions, and validating claims across multiple documents.

Hours lost reading long PDFs

Analysts and reviewers re-read the same 200-page documents every cycle, copying facts into spreadsheets by hand.

Disclosures and clauses go missing

Required disclosures, exclusions, and obligations are buried across documents. Keyword search misses context; missed items get flagged in audit.

Evidence is scattered across formats

Certificates in scanned PDFs, registers in spreadsheets, policies in Word. The proof exists, but nobody can find it on the day it is needed.

AI tools that hallucinate are unusable

Generic chatbots invent citations and confident-sounding answers with no evidence. Regulated teams cannot ship that.

From unstructured documents to source-linked evidence

DataStruct AI is built for teams that need answers they can defend. Citations bound to the claims that use them, evidence separated from related material, and a human reviewer deciding what satisfies a requirement.

Citation validation

Evidence-backed answers

Answers show the source passages they use. Located spans are distinguished from fallbacks, verification flags unsupported claims, and the pilot workflow separates passages DataStruct could support from cited or related records that still need human review.

Requirement → evidence → finding

Evidence Programmes

Write your requirements in your own words and run them against a supplier, a site, or a contract. One finding per requirement, with candidate evidence attached and the gaps stated. Requirements persist, so next quarter asks the same question the same way.

Template builder

Structured extraction

Define the fields you need pulled from each document. Run extraction in batches with field-level confidence scores and evidence links.

Declarative rules

Compliance and risk rules

Deterministic condition types including keyword presence and absence, regex, numeric thresholds, and missing-disclosure detection. Configurable severity per rule.

Domain-aware

Configurable for your industry

Pre-configured terminology, document types, extraction templates, and rule packs across legal, insurance, healthcare, ESG, and more. Custom packs supported.

Approval workflows

Human review built in

Findings and low-confidence outputs go to a named reviewer, who confirms, rejects, or marks for follow-up. Each decision is attributed and logged; the system records no verdict of its own.

Six steps from raw documents to defensible output

The same workflow your team already does manually, running on a platform with audit trails, citation validation, and human review built in.

01

Upload and structure documents

PDF (including scans, via OCR), DOCX, XLSX, CSV, HTML, TXT. Bulk upload up to 50 at once. We deduplicate by content hash and extract text, sections, entities, and embeddings.

02

Extract fields and claims

Define an extraction template once, run it across thousands of documents. Each field comes with a confidence score and source link.

03

Ask questions with citations

Ask natural-language questions across your corpus. Claims link to cited passages where available; unsupported claims are flagged and low-confidence answers route to review.

04

Run compliance and risk rules

Build declarative rule packs for required disclosures, threshold breaches, and missing terms. Each rule returns a red / amber / green status with its evidence, for a reviewer to act on.

05

Review low-confidence findings

Findings below your confidence threshold route to a review queue. Reviewers approve, reject, or edit; the audit log tracks every decision.

06

Export reports and datasets

Generate document-level reports (HTML, DOCX, JSON) and extraction datasets (CSV, XLSX, JSON) with source links preserved, for reviewer and stakeholder hand-off.

Built for the workflows that matter most

Most deployments start with one of these. Each comes with sample documents, extraction templates, and rule packs you can adapt to your team.

ESG and corporate reporting

Run disclosure-completeness rule packs across annual and sustainability reports. Flag missing disclosures and benchmark issuers side by side.

Compliance and policy review

Run rule packs against policies and contracts. Flag missing clauses and required disclosures. Prepare source-linked evidence for your reviewers.

Insurance and risk

Extract coverage terms, exclusions, and limits across policy schedules and endorsements, each linked to the clause it came from.

Contract intelligence

Pull termination rights, liability caps, surviving obligations, and renewal terms across MSA / SOW / DPA portfolios.

Research and technical documents

Literature reviews, systematic reviews, evidence synthesis across study corpora, with citations traced to the source passage.

Want to see what your documents are hiding?

Book a private demo using your own sample documents.

Book a demo

Ready to see what your documents are hiding?

Tell us about your team and documents. We'll put together a tailored package and walk you through the platform.