One Platform. Configured for Your Industry.
DataStruct AI adapts to your industry through domain packs: pre-configured terminology, document types, extraction templates, and compliance rules.
Legal Services
Contract evidence that keyword search misses
Pain Points
- Clause extraction across hundreds of agreements is error-prone
- Inconsistencies between related contracts go unnoticed
- Obligation tracking is manual and spreadsheet-dependent
- Due diligence takes weeks of associate time
DataStruct AI Solutions
- Automated clause extraction with evidence linking back to the cited source passage
- Cross-agreement search that finds the same clause type across a portfolio for side-by-side review
- Obligation and deadline extraction, each linked to its source clause
- Case law precedent search across uploaded corpora
Supported Document Types
Insurance & Risk
Underwrite faster with document intelligence
Pain Points
- Policy review for coverage gaps requires reading every clause
- Claims extraction is manual and error-prone under volume
- Underwriting risk assessments are buried in unstructured documents
- Reinsurance treaty analysis is dense and time-consuming
DataStruct AI Solutions
- Policy term extraction with coverage limit and exclusion mapping
- Claims evidence extraction with structured output and review routing
- Broker submission analysis with risk language detection
- Loss run extraction across historical submissions
Supported Document Types
Healthcare & Life Sciences
Evidence synthesis for research-driven decisions
Pain Points
- Regulatory submissions require meticulous documentation review
- Adverse event reports are buried across disparate systems
- Clinical trial data extraction is manual and inconsistent
- Systematic reviews take months of researcher time
DataStruct AI Solutions
- Clinical trial data extraction (endpoints, sample sizes, outcomes)
- Adverse event extraction across document sets
- Regulatory submission compliance checks against requirements
- Evidence synthesis across studies with source-grounded summaries
Supported Document Types
Government & Public Sector
Transparent analysis for public accountability
Pain Points
- Tender evaluation across dozens of bid responses is slow
- Policy consultation responses need thematic analysis at scale
- FOI request processing requires comprehensive document review
- Audit trail requirements for every decision are resource-intensive
DataStruct AI Solutions
- Tender evidence assembly against criteria you define, for evaluator sign-off
- Consultation response theme extraction and clustering
- Policy impact assessment analysis with evidence linking
- Procurement compliance rule packs with source-linked evidence trails
Supported Document Types
Real Estate & Construction
Portfolio intelligence across every lease and title
Pain Points
- Lease portfolios contain thousands of clauses to track
- Title document review for defects is tedious and high-stakes
- Planning application compliance requires cross-referencing regulations
- Environmental survey risk assessment depends on manual reading
DataStruct AI Solutions
- Lease term extraction (rent, breaks, reviews) across portfolios
- Title defect and encumbrance flagging with severity scoring
- Environmental risk language flagged in survey data, for reviewer assessment
- Portfolio-wide comparison and benchmarking across assets
Supported Document Types
Energy & Utilities
Permit tracking and ESG reporting at scale
Pain Points
- Complex permit conditions span multiple assets and jurisdictions
- EIA requirements tracking is fragmented across teams
- Regulatory filings to multiple bodies require parallel compliance
- ESG transition reporting pressure is intensifying each cycle
DataStruct AI Solutions
- Permit condition extraction and compliance tracking across assets
- Emissions data extraction from regulatory filings
- Decommissioning obligation extraction with source links
- Transition target extraction for progress reporting
Supported Document Types
Pharma R&D & Biotech
Accelerate drug development with document intelligence
Pain Points
- Patent landscape analysis across thousands of patents is overwhelming
- Competitive pipeline intelligence is scattered across sources
- Regulatory dossier preparation is document-intensive
- Extracting comparable data from hundreds of publications is slow and inconsistent
DataStruct AI Solutions
- Patent claim analysis and freedom-to-operate assessment
- Pipeline intelligence extraction (compound, indication, phase)
- Regulatory milestone tracking across submissions
- Literature data extraction with source-linked summaries
Supported Document Types
Defence & Aerospace
Bid compliance evidence and supplier assurance
Pain Points
- Bid compliance against hundreds of technical requirements is laborious
- Supplier evidence arrives in many formats and must be checked against the same requirements each cycle
- Supplier audit trail maintenance spans years of records
- Requirement traceability across proposal volumes is manual and slow
DataStruct AI Solutions
- Compliance matrix population from bid documents, for reviewer sign-off
- Requirement-by-requirement evidence findings with source links
- Supplier audit evidence checked against your requirements, with gaps stated
- Technical specification extraction with cross-referencing
Supported Document Types
Academic & Scientific Research
Build institutional knowledge that compounds
Pain Points
- Literature reviews across thousands of papers consume months
- Grant application preparation requires extensive evidence gathering
- Methodology comparison across studies is manual and inconsistent
- Cross-departmental knowledge sharing is limited to personal networks
DataStruct AI Solutions
- Corpus-wide semantic search across all institutional publications
- Automated thematic clustering and topic extraction
- Methodology and quality assessment with structured comparison
- Cross-paper evidence synthesis with source-linked passages
Supported Document Types
Professional Services & Audit
Audit intelligence for engagements of any size
Pain Points
- Audit working paper review across large engagements is time-intensive
- Going concern assessment requires reading all client documents
- Related party transaction identification spans multiple sources
- Mid-tier firms lack resources to build document intelligence internally
DataStruct AI Solutions
- Audit finding extraction with severity classification and linking
- Going concern indicator detection across financial documents
- Related party transaction flagging with evidence trails
- Internal control weakness identification and categorisation
Supported Document Types
Corporate Reporting & ESG
Turn annual reports into actionable intelligence
Pain Points
- Manually reading annual reports for key metrics is unsustainable
- ESG disclosure comparison across issuers is a spreadsheet nightmare
- Year-on-year changes in commentary go undetected
- Peer benchmarking requires weeks of analyst time per cycle
DataStruct AI Solutions
- KPI extraction (revenue, governance, ESG metrics) with confidence scores
- Peer group comparison across issuers and reporting periods
- Cross-year search across reports, with each figure linked to its source passage
- Disclosure completeness rule packs for reporting standards
Supported Document Types
Compliance & Regulatory
Rule-pack checks with evidence
Pain Points
- Checking documents against regulatory requirements is time-consuming
- Missing disclosures are only caught during audits, not proactively
- Policy version comparison is manual and error-prone
- Evidence collection for audit readiness is scattered across systems
DataStruct AI Solutions
- Declarative rule packs with deterministic condition types
- Missing-disclosure checks with red/amber/green rule status, for reviewer sign-off
- Centralised action log with evidence linking on findings
Supported Document Types
Don't see your industry?
DataStruct AI includes a Custom Domain Pack that you can configure for any document-heavy workflow.
Talk to Our Team