Home / Money Trail AI
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.
- 01Public recordsRegistries, courts, gazettes
- 02Social mediaArchived and fingerprinted
- 03EmailsHeader and signature checks
- 04Entity extractionNames, firms, places
- 05Entity resolutionOne person, many spellings
- 06Bank & offshore graphAccounts, shells, agents
- 07Location mappingSatellite and land records
- 08AI pattern checkCompared with past cases
- 09Human verificationTwo independent reviewers
- 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.
- 1TrackSix 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.
- 2ProcessMake 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
- 3Link & 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
- 4Identify & publishA public file for everyonePUBLIC 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