About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Trading Technologies Moves into Surveillance Through Neurensic Acquisition

Subscribe to our newsletter

Trading Technologies (TT) has moved into the surveillance market through the acquisition of Neurensic, an artificial intelligence (AI) regtech providing a solution for trading, compliance, surveillance and banking.

Founded in 2015, Neurensic provides an AI platform for identifying complex patterns of trading behaviour at a vast scale, across multiple markets, in near real time. The platform combines high-speed, big data processing power with machine learning technology to deliver a continuous assessment of the compliance risk associated with complex trading behaviours.

Michael Kraines, chief financial officer at TT, says: “Artificial intelligence and machine learning are altering the landscape of trading. Acquiring certain assets of Neurensic enables TT to offer AI solutions that no other professional trading platform has offered before. This represents the first of several pending solutions powered by this technology that we will offer to our clients on the TT platform.”

Rick Lane, CEO at TT, adds: “The ability to provide literal push-button access to advanced machine learning surveillance capabilities, with zero infrastructure investment and zero integration cost, will allow our clients to further benefit from the value of our platform and network.”

David Widerhorn, founder and CEO at Neurensic, expects TT to take Neurensic’s technology platform to the next level. He comments: “This deal marks an important milestone in our mission to empower the industry with AI technology that is capable of understanding real-time data, and in doing so, supports the industry in navigating the challenges of today’s dynamic regulatory environment.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

BMLL and Features Analytics Target Surveillance Benchmarking with Level 3 Order Book Data

BMLL and Features Analytics have partnered to develop new trade surveillance benchmarking and market integrity analytics built on reconstructed historical order book data, signalling a shift towards more measurable, performance-driven surveillance frameworks. Under the agreement, Features Analytics will build and commercialise surveillance benchmarking products on top of BMLL’s harmonised historical Level 3, 2 and 1...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulation and Risk as Data Management Drivers

A-Team Group recently held a webinar on the topic of Regulation and Risk as Data Management Drivers. Fill in the form to get immediate access to the accompanying Special Report. Alongside death and taxes, perhaps the only other certainty in life is that regulation of the financial markets will increase in future years. How do...