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: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

The New Shape of Market Data: Why Institutions Are Moving Toward a More Modular, Machine-Readable Architecture

For decades, the market-data ecosystem has been defined by reliance on a handful of dominant vendors. Their breadth, depth and entitlements frameworks became foundational to both the trading desk and the wider enterprise. But the requirements of the modern financial technology stack have shifted dramatically. Cloud-native development, agentic AI workflows, and a proliferation of analytics-driven...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Trading Regulations Handbook 2021

In these unprecedented times, a carefully crafted trading infrastructure is crucial for capital markets participants. Yet, the impact of trading regulations on infrastructure can be difficult to manage. The Trading Regulations Handbook 2021 can help. It provides all the essentials you need to know about regulations impacting trading operations, data and technology. A-Team Group’s Trading...