The problem was hiding
in plain sight
"Investigators were spending 80% of their time cleaning data. The fraud was in the other 20% — and they were running out of time to find it."
Financial fraud investigations have a dirty secret: the work that matters most — tracing funds, identifying patterns, building a case — rarely starts on day one. It starts after weeks of manual data entry, reformatting broken OCR output, and hand-calculating running balances to verify the numbers are even correct.
eFraud Services was founded to eliminate that bottleneck. Not to make OCR faster — to replace it entirely with an AI engine that understands financial documents the way an experienced auditor does.
The breakthrough came with Generative AI. Unlike traditional OCR tools that extract characters without context, Gen AI understands the structure and logic of a bank statement — the relationship between debits, credits, and running balances. It doesn't just read the document. It reconstructs the financial history.
The result is a platform that takes investigators from a chaotic PDF document dump to a fully verified, interactive investigation dashboard in minutes — with no templates, no configuration, and no cleanup required.
People v. Aaron D. Fischman / Cardis Enterprises International — a 20-count criminal indictment for securities fraud. eFraud Services analyzed 39 bank accounts to trace over $31 million in diverted funds on behalf of the NY AG.