Inside every large financial institution, billions of communications are generated every day — emails, chats, voice calls, trading activity. Most of it goes unmonitored. The fraction that does get reviewed is often checked manually, months after the fact, by compliance teams that are perpetually understaffed. Behavox was founded in London in 2014 to change that equation. Its platform uses AI and machine learning to monitor employee communications and trading behaviour in real time, flagging potential compliance violations, market abuse, and misconduct before they become regulatory problems. The target market is banks, asset managers, and hedge funds — institutions where a single compliance failure can result in nine-figure fines and reputational damage that takes years to repair. Behavox has positioned itself at the intersection of RegTech and enterprise AI, a space that has attracted serious attention as regulators across the US, UK, and EU have stepped up enforcement. In a world where the volume of data that compliance teams need to review is growing faster than headcount ever could, automated surveillance isn't optional — it's the only viable approach.