Consilient is a New York- and Washington, D.C.-based financial technology company that applies federated machine learning to anti-money laundering and financial crime detection. Its models learn from behavioral patterns across multiple banks and share the algorithms - not the underlying customer data - so institutions can collaborate on catching illicit activity while preserving privacy. Founded in 2020 as a joint venture between K2 Integrity and Giant Oak, the company's Dozer platform has demonstrated in bank trials that it can sharply cut false positives while improving true-positive detection.
Ajit Tharaken is the CEO of Consilient, a Washington, D.C. fintech building federated-learning AI to catch financial crime without ever moving a bank's data. A Columbia-trained computer scientist, he previously ran Opus Global (Alacra) through its sale to NICE Actimize, then led NICE Actimize's Data Intelligence business. He pitches a blunt thesis: the global anti-money-laundering system is outdated, and the fix is letting institutions train AI models locally and share the intelligence, not the data.