
Discovery — Investigations & Exonerations
Uncover the truth with legal-grade proof at machine speed.
When fraud is suspected or allegations arise, our AI-powered forensics uncover exactly what happened, backed by evidence regulators and courts can trust.
Discovery
When to Use Discovery
Facing allegations that could damage reputation or trigger legal action.
Suspecting hidden fraud or policy violations with no clear evidence.
Needing an independent fact-finding mission to uncover the truth.
How Discovery Works (The Prevention Loop Applied)
1. Ingest – Securely pull data from multiple sources: emails, WhatsApp, bank transactions, SAP/Tally ledgers, balance sheets, PDFs, images, registrar records.
2. Normalize – Clean, deduplicate, and standardize data so millions of records can be cross-linked.
3. Link – Build a knowledge graph of entities, accounts, approvals, cash flows, and relationships.
4. Analyze –
Match transactions and approvals against policies.
Reconstruct timelines of decisions and actions.
Detect anomalies, fund diversions, and forged documentation.
5. Act –
Compile regulator-ready evidence packs with citations to exact source lines.
Provide visualizations: timelines, fund-flow maps, relationship graphs.
6. Learn – Feed case findings back into our controls library to harden prevention.
Outputs You Get
Regulator/Court-Ready Briefs — explainable evidence with a clear chain of custody.
Timeline Reconstructions — showing who acted, when, and with what authority.
Fund-Flow Visualizations — mapping every rupee or dollar from source to destination.
Relationship Graphs — connecting individuals, accounts, and entities across datasets.
Impact of Discovery
Reduce investigation timelines from months to weeks.
Shift from suspicion to fact with verifiable data trails.
Support exoneration of falsely accused parties or confirmation of fraud.
Examples of Discovery in Action
US$2.5B Exoneration:
Analyzed 1.5M+ documents, 5 lakh emails, 10 years of Tally & bank data across 70 companies.
Proved the promoter funded the company but had no operational role during the alleged fraud period.
[Read the case →]
₹30 Cr Property Forgery Prevention:
Conducted document forensics, metadata checks, and provenance mapping to expose a forgery ring before a property sale closed.
[Read the case →]
Why Legal-Grade Matters
Citations to Source: Every fact is linked to the exact document, email, or ledger line.
Chain of Custody: Hashing, timestamps, and immutable audit trails ensure admissibility.
Explainability: Timelines and fund-flow visuals make even complex cases clear to non-technical audiences.
Call to Action
Need answers you can stand behind in court or with a regulator?
Run our 72-Hour Baseline Map to see your fund flows, approval timelines, and top anomalies — fast.