A grandmother on a fixed income who wired her savings to someone she believed was helping her. A small business owner whose payroll account was drained overnight. A family who watched a college fund vanish. Parents who are still trying to understand how a stranger reached their child through a screen.
The agents and detectives working those cases do extraordinary work. Most of them work with too few resources, too many open files, and almost no way to know whether the agency in the next county or the next state is chasing the same person.
The same offender hits another family, in another jurisdiction, while two investigators sit on parallel cases and never find each other in time.
Deconflict was built to close that gap. Built by people who have sat at those kitchen tables, taken those reports, and made those calls. We exist so that the next family does not have to make the call at all.
The platform is privacy-preserving by design. It exchanges only what is required to detect overlap and surface risk, with a tamper-evident audit log of every query, match, and coordination event.
A real-time risk intelligence API and compliance dashboard for banks, exchanges, and stablecoin issuers, built to fit inside existing BSA/AML and compliance workflows.
Former U.S. Secret Service Special Agent. 22 years in federal and state law enforcement, with a decade specializing in financial crime and digital-asset investigations.
Senior engineer on Apple Intelligence. Built on-device ML and privacy architecture, and led AI initiatives shipped in iOS to over a billion devices. At Deconflict, leads platform architecture, security, and AI.
Cross-jurisdiction coordination
Enterprise controls
Digital-first screening
High-throughput rails
Compliant issuance
Moniker and footprint deconfliction
Risk infrastructure
VASP operation
Counterparty risk
Verified contacts
Open-source references
