Cevrynt connects documents, banking activity, debt obligations, verification results, risk signals, lender policies, and human judgment within one evidence-linked underwriting process.
Bring applications, bank statements, identity records, contracts, debt documents, and supporting files into one controlled deal context. Inventory what arrived and surface what may still be missing.
Classify submitted files, identify periods, entities, accounts, and document quality, then extract reviewable information while preserving source references and uncertainty.
Normalize deal data, reconcile statement periods and balances, analyse banking activity, and surface potential MCA positions, obligations, and patterns that require review.
Connect business and identity signals, risk flags, missing information, and lender policy context into a structured recommendation with evidence-linked rationale.
Authorised users review findings, correct verified data, set conditions, and record decisions. Structured reporting is under validation; CRM and API delivery are planned.
From raw files to reviewable intelligence.
Every stage has a purpose.
Keep material analysis connected to the documents, transactions, verification results, and data that support it.
Keep material analysis connected to the documents, transactions, verification results, and data that support it.
Convert fragmented information into consistent, reviewable data before generating broader underwriting conclusions.
Use reconciliation, quality checks, confidence indicators, and human review to identify uncertainty and incomplete information.
Apply lender guidance while authorised users retain control over corrections, exceptions, conditions, overrides, and final decisions.
Measure what needs human attention.
Confirm expected files, periods, and source quality before the deal moves forward.
Compare statement periods, balances, transactions, deposits, and summaries against source records.
Keep material findings connected to supporting documents, transactions, and verification results.
Benchmark in validation against experienced reviewer conclusions and documented exceptions.
More than a yes-or-no answer.
Applicant, business, banking, debt, verification, document, and risk information organised for review.
Risk factors, conditions, missing information, rationale, and supporting evidence presented for human judgment.
Track source changes, analysis context, reviewer actions, and future re-analysis when new evidence arrives.
No. Cevrynt provides structured decision support; authorised users review evidence, correct verified information, set conditions, handle exceptions, and record final decisions.