Bank statements, accounts, tax returns, ID, leases and valuation reports. Agents classify each document, extract the fields your policy needs, and reconcile them across the file, with every value cited back to its source page.
Intelligent document processing vendors stop at extraction. Decisioning platforms ask underwriters to work in a new layer. Sea.dev embeds directly into the core with AI agents for document extraction, cross-checks, spreading, bank statement assessment, valuation and comparable review, and underwriter-ready credit reports.
See document integrity signalsFrom the routine to the complex. Schemas are versioned and shaped to your policy, so the fields you extract are the fields your underwriters use.
PDF, CSV, scans and screenshots. Transactions, balances, returned items, conduct and cash-flow patterns, categorised for assessment.
Audited accounts, management packs and Excel models. P&L, balance sheet and cash-flow line items across periods and entities.
Personal and corporate returns, forms and computations. Income, deductions and schedules, reconciled to the accounts.
Valuation basis, condition, rental figures, tenancy schedules and comparable evidence, including multi-unit and multi-property schedules.
Leases, tenancy agreements, title documents and contracts. Parties, terms, dates, rents and obligations.
Identity documents, proof of address, application forms, invoices and correspondence, matched to the borrower on file.
Four steps from broker pack to reviewed, cited data. The agents do the first pass, your team keeps the decision.
Every file in the pack is identified and split, whatever the format or scan quality. No templates to maintain.
The fields your policy needs are pulled into your schema, with a confidence score on each value so reviewers know where to look.
Values are reconciled across the pack: rent on the valuation against the lease, deposits against statements, names and addresses across every document.
Integrity signals catch edited or synthetic documents. Every extracted value links back to the page it came from, ready for one-click review.
Select a field to see where it came from.
AI cannot be a black box in lending. Two mechanisms keep extraction trustworthy on day one and better every month after.
Each extracted figure links to the document, page and region it came from. Reviewers verify in one click instead of hunting through the pack, and the approval is logged with who checked what and when.
Every correction a reviewer makes feeds back into extraction and schemas. Before go-live, accuracy is grounded against your historical files and cleared to an agreed threshold. After it, the system keeps learning your documents, your policy and your edge cases.
Metadata forensics, math checks and cross-document consistency to catch edited or synthetic documents.
Learn moreExtracted accounts mapped to your taxonomy, normalised and adjusted, with covenant compliance automated on monitoring packs.
Explore spreadingExtraction, cross-checks and citations exposed as APIs and embeddable components for your LOS or banking core. JSON, CSV, Excel or direct sync.
Read API docs