How accurate is the extraction, and what happens when it’s unsure?

Every field carries a confidence score and passes validation rules. High-confidence fields flow straight through; anything below your threshold escalates to a human-in-the-loop reviewer. The system is designed to fail loudly to a person before anything reaches your database.

Can you handle scanned, low-quality, or handwritten documents?

Yes. We combine OCR engines (AWS Textract, Google Document AI, Azure) with LLM extraction and pre-processing for skew, noise, and multi-page layouts. Handwriting and poor scans are exactly where confidence scoring and human review earn their keep, so nothing wrong is trusted.

How is this different from your KYC document scanning?

KYC scanning verifies identity documents such as passports, IDs, and proof of address as one step in onboarding. Document intelligence is the broader extraction platform: bank statements, contracts, invoices, and KYB business documents parsed into structured data for underwriting, affordability, and reconciliation. Teams often run both, and we build them to share one pipeline.

Do you extract structured tables and line items, not just text?

Yes. Table and line-item recovery is a core capability: invoice lines, statement ledgers, and multi-page tables are reconstructed with rows and columns intact, so you don’t have to re-parse a flattened text blob downstream.

Can we keep sensitive documents in our own environment?

Yes. We can deploy the pipeline into your cloud with region-pinned storage and processing, redaction of sensitive fields, and full audit logging. Source files and extracted data stay under your control, and residency requirements are met.

AI Document Intelligence Development

We turn the PDFs, scans, and statements your product depends on into structured, verified data: bank-statement and contract extraction, KYB business-document processing, and line-item parsing with confidence scores and a human-in-the-loop review layer.

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What we build

Bank-statement & cash-flow extraction

Parse PDF and scanned statements into normalised transactions ready for affordability and cash-flow analysis: dates, amounts, balances, and counterparties.

Table & line-item parsing

Recover the rows and columns OCR flattens: invoice line items, statement ledgers, and multi-page tables reconstructed with structure intact.

Contract & term-sheet extraction

Pull the clauses that matter from loan agreements, MSAs, and term sheets into a queryable schema: parties, dates, obligations, rates, and covenants.

KYB business-document processing

Extract and cross-check incorporation certificates, UBO registers, proof of address, and financials for business onboarding and underwriting.

Classification & routing

Auto-classify mixed document uploads by type and route each to the right extraction model. No manual sorting of the inbox.

Confidence scoring & human-in-the-loop review

Per-field confidence, validation rules, and a reviewer UI so low-confidence extractions escalate to a human instead of silently passing through.

Secure card payment terminal with PIN entry

Financial workflows need evidence at every decision

Reference architecture

Document Upload / Ingest
Classification
OCR + LLM Extraction
Validation & Confidence Scoring
Human-in-the-loop Review
Structured Output / API
Audit Log

A typical document-intelligence pipeline: uploads are classified by type, run through OCR and LLM extraction, then validated and confidence-scored; low-confidence fields escalate to a reviewer while the rest flow straight to structured output, and every extraction is logged for traceability.

Integrations shipped across 21+ partners.

Document AI / OCR

AWS Textract
Google Document AI
Azure Document Intelligence
Mistral OCR

LLM extraction

GPT-4o
Claude
Gemini
Custom fine-tunes

Banking & statement data

Plaid
Yodlee
MX
Tink

Contract & e-sign

DocuSign
Dropbox Sign
PandaDoc

Document storage

AWS S3
Google Cloud Storage
Box

Data & pipelines

Postgres
BigQuery
Custom Python pipelines

Which engagement fits

Project Build

For a new extraction platform: a focused build covering classification, extraction models, the review UI, and the structured-output API end to end.

Explore Project Build

Embedded Squad

For expanding coverage to new document types and lifting extraction accuracy over time: a dedicated team that ships new models and validation rules alongside yours.

Explore Embedded Squad

Tech Audit

For assessing an existing extraction pipeline: a 5-day diagnostic of accuracy, failure modes, review load, and where confidence thresholds are set.

Explore Tech Audit

Compliance considerations

Compliance posture for AI document-intelligence builds. Status reflects how we engineer the controls around the sensitive data inside financial documents. Regulatory ownership stays with your team.
Standard	Status	What we ship
GDPR / UK GDPR	Compliant	Financial documents are dense with personal data. We build lawful-basis handling, data-subject rights, and retention controls so extracted fields and source files stay governed under clear rules. See /compliance/gdpr.
SOC 2	In progress	We engineer the access controls, encryption-at-rest, and audit logging a SOC 2 program expects around document storage and the review UI. The attestation itself stays yours to pursue.
PCI DSS	Compliant	When statements or invoices carry card numbers, we ship redaction and PCI-aware handling so card data never lands where it shouldn’t. See /compliance/pci-dss.
Data residency	In progress	For EU/UK residency requirements we architect region-pinned storage and processing across the OCR, LLM, and review stages. The policy call on where data lives is yours.

Free

Audit Trail Validator

A check of your extraction pipeline’s decision logging and audit-trail completeness, so every field can be traced back to the source document and the model that produced it.

Validate your audit trail

Contactless payment transaction at a point-of-sale terminal

Built for financial-grade delivery

Money movement leaves a trail

Every payment, every risk decision, every compliance check: engineered to be explainable and audit-ready. The architecture ships with the evidence, not as an afterthought.

Frequently asked questions

Every field carries a confidence score and passes validation rules. High-confidence fields flow straight through; anything below your threshold escalates to a human-in-the-loop reviewer. The system is designed to fail loudly to a person before anything reaches your database.

Drowning in documents? Schedule a meeting.

We’ve shipped the extraction models, review tooling, and audit trails that fintech teams run over statements, contracts, and KYB documents in production. Tell us what you’re parsing.

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