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Flagship research system

Money Trail AI

1976 – 2026. Follow money and influence across people, companies, foreign banks, offshore structures, social media, emails and locations — with an AI pattern assessment and the evidence behind every connection.

AI leads · human verified
  1. 01Public recordsRegistries, courts, gazettes
  2. 02Social mediaArchived and fingerprinted
  3. 03EmailsHeader and signature checks
  4. 04Entity extractionNames, firms, places
  5. 05Entity resolutionOne person, many spellings
  6. 06Bank & offshore graphAccounts, shells, agents
  7. 07Location mappingSatellite and land records
  8. 08AI pattern checkCompared with past cases
  9. 09Human verificationTwo independent reviewers
  10. 10InvestigationRight of response, then publish
AI assessment · based on past patterns

Every flag explains itself

Pattern
The known pattern it resembles — nominee directors, layered offshore ownership, round-tripped funds, contracts to newly formed companies
Compared with
Past documented cases, court findings and published investigations
Records
The exact documents, posts, emails or filings that triggered it
Output
A ranked research lead with a confidence level and its reasoning
Status
Research lead — not a finding

Past patterns point investigators where to look; they never prove wrongdoing. A lead becomes publishable only after two reviewers verify the underlying records.

How a public file is built

From scattered traces to a public file.

Four stages turn lawful traces about people in power into a verified file that anyone in India, Pakistan or Bangladesh can read, check and use.

Open Money Trail
  1. 1
    TrackSix lawful sources
    • PersonOfficials, officers and directors, in their public roles only.
    • Social mediaPublic posts and deleted pages from archives, saved with date and fingerprint.
    • Contacts & associatesRelatives, partners and co-directors named in records, never private address books.
    • Bank statementsOnly from court filings, regulators, published leaks or lawful submissions.
    • Public recordsCompany, land, procurement, court and gazette records in all three countries.
    • Other AI toolsText reading, Urdu, Hindi and Bengali translation, name matching, image checks.
  2. 2
    ProcessMake it readable and provable
    • Read scanned pages and translate them
    • Pull out names, dates, amounts and places
    • Merge duplicates and spelling variants
    • Fingerprint every file so changes show
    • Label each claim: fact, allegation or ruling
  3. 3
    Link & de-linkConnect cases, and cut false ties
    • Link people, companies, money and cases across borders, only when two sources agree
    • De-link when a source fails, a court acquits or a name match is wrong, and log it publicly
  4. 4
    Identify & publishA public file for everyone
    PUBLIC FILELayout
    Subject
    Public role and institution
    Country
    India · Pakistan · Bangladesh
    Status
    Documented · Alleged · Ruled
    Sources
    Every document linked
    Response
    Published in full
    Changes
    Dated corrections log
    VERIFIED2 REVIEWERS
    • Named people get the findings and time to reply
    • Two reviewers sign off
    • The file is updated as cases move