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.