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Behavox Partners with b-next to Enhance Polaris Trade Surveillance


Behavox Partners with b-next to Enhance Polaris Trade Surveillance
  • by: Source Logo
  • |
  • January 28, 2026

Behavox has formed a strategic partnership with b-next to enhance its Polaris Trade Surveillance platform within the Unified Controls Platform, combining Behavox’s advanced AI capabilities with b-next’s 25+ years of specialized expertise in capital markets surveillance and compliance.

Quick Intel

  • Behavox partners with b-next to strengthen its Polaris Trade Surveillance solution using b-next’s deep subject matter expertise.
  • b-next gains access to Behavox’s proven AI technology, proprietary large language model, R&D support, and global customer success resources.
  • b-next customers can immediately use Behavox’s Intelligent Archive for unified regulatory retention, search, and retrieval of communications and transaction data.
  • Partnership includes Behavox taking a strategic interest in b-next, aligning long-term visions for innovation in compliance and risk management.
  • Collaboration integrates b-next’s trusted surveillance capabilities with Behavox’s Quantum AI for communications surveillance and broader platform tools.
  • Enhances Behavox’s Unified Controls Platform, which encompasses communications surveillance, trade surveillance, intelligent archiving, and policy management.

Advancing Trade Surveillance with Combined Expertise

Behavox, an AI-native company focused on transforming data into actionable insights for risk detection and business enhancement, has partnered with b-next, a specialist provider of capital markets trading surveillance and compliance solutions. This collaboration bolsters Behavox’s Polaris Trade Surveillance offering by incorporating b-next’s extensive domain knowledge, trusted by markets and regulators for over 25 years.

The partnership enables Behavox to refine and expand its Polaris capabilities while providing b-next with access to Behavox’s market-leading AI, including its proprietary large language model, ongoing R&D, and global support infrastructure. b-next will license Behavox technology and, where relevant, offer additional Behavox products to its customer base.

“ This partnership allows us to share our battle tested AI capabilities with a forward thinking vendor like b-next and allows us to continuously improve our Polaris Trade Surveillance offering with b-next’s subject matter expertise that has been trusted by markets and regulators for over 25 years.” — Kiryl Trembovolski, COO at Behavox.

Immediate Value for b-next Customers

As part of the agreement, b-next customers gain instant access to Behavox’s Intelligent Archive solution. This tool unifies the regulatory retention, search, and retrieval of communications and transaction data, streamlining compliance processes and reducing operational complexity in a single integrated environment.

The collaboration also reinforces Behavox’s broader Unified Controls Platform, which brings together:

  • Quantum AI for communications surveillance
  • Polaris for trade surveillance
  • Intelligent Archive for regulatory data retention
  • Pathfinder for policy management

By combining forces, both companies aim to deliver more robust, AI-powered solutions that help financial institutions detect risk, meet regulatory obligations, and convert enterprise data into strategic advantage.

Behavox’s strategic investment in b-next further underscores a shared commitment to long-term innovation in the compliance and surveillance space, positioning both organizations to better serve global capital markets clients.

About Behavox

Behavox is an AI company that helps organizations safeguard and enhance their businesses through a unified controls framework. Its AI-native platform brings together communications surveillance (Quantum), trade surveillance (Polaris), regulatory data retention (Intelligent Archive), and policy management (Pathfinder) on a single, integrated platform. Behavox enables firms to detect risk, meet regulatory obligations, reduce operational complexity, and turn enterprise data into revenue.

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