Darwix reads documents, systems, ledgers and conversations to build one grounded case. It explains why sources differ, finds what's missing and links every finding to its proof.
The real work is knowing which source to trust, and why.
Each source is valid on its own. Together they don't agree, and someone has to work out why, usually across spreadsheets, PDFs and email chains, with nothing to prove which value the final decision relied on.
Eight steps from raw files to a case ready for review.
A retail secured loan under diligence. Select a row to see its sources and the finding. Synthetic data.
Most tools flag every mismatch. Darwix understands dates, definitions and events, so reviewers see what a difference means.
Every value traces back to its source: document, page, row, ledger entry, timestamp or reviewer action.
A seller gives one value, diligence finds another and a reviewer adopts a third. Darwix keeps all three.
Property market value · adopted for “latest independent valuation”, effective 18 Sep, evidence Valuation Report p.17. The ₹72L stays in the history.
Gaps, stale records and absent documents are surfaced as findings.
Materiality and confidence decide where reviewers look first.
Queries go to the right source, and every reply joins the trail.
A single case view and an audit-ready pack for every decision.
Rules handle dates, balances and thresholds. AI handles meaning.
Diligence, underwriting, claims and verification across BFSI.
Your policies define what counts as a finding.
Reviewers spend their time on judgment, not reconciliation.
Operational visibility: Conflicts per case, missing-evidence and stale-data rates, clarification turnaround, cases blocked and time to review-ready, to show where evidence quality creates delay.
What makes Evidence Intelligence different.
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