AI-powered unified surveillance and compliance platform for regulated firms
Behavox operates a four-module surveillance and compliance stack (communications monitoring, trade surveillance, data retention, policy management) deployed across financial services and other regulated sectors. The tech foundation spans Java/Spring on GCP/AWS/Azure with DataFlow and BigQuery for scale, alongside Looker for insights—a mature cloud-native architecture. Hiring velocity is accelerating with a sales-to-engineering ratio of 17:11, and leadership is skewed heavily senior (36 of 43 roles), suggesting expansion into executive-level selling and delivery complexity rather than greenfield scaling.
Behavox is an AI-native compliance and surveillance platform founded in 2014 and headquartered in London. The product consolidates four core capabilities into a single integrated system: communications surveillance (Quantum), trade surveillance (Polaris), regulatory data retention (Intelligent Archive), and policy management (Pathfinder). The firm serves regulated organizations—primarily in financial services—across North America, EMEA, and APAC. Current operational focus is on unified controls framework implementation, compliance posture maturity, managed services delivery, and client-side center-of-excellence programs. Pain points cluster around delivery consistency across complex enterprise engagements, stakeholder complexity, and churn reduction.
Java, Spring Framework, Spring Boot on GCP, AWS, and Azure. Data processing via DataFlow and BigQuery; visualization via Looker. Frontend: React, Angular, TypeScript, JavaScript. Infrastructure via Terraform, IAM, and VPC.
United States, Canada, United Kingdom, and Japan. Headquarters is London, England.
Other companies in the same industry, closest in size
Behavox's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.