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

SIX Partners to Develop Post-Trade AI Based Services

Subscribe to our newsletter

SIX, owner of the Swiss stock exchange, has entered a strategic partnership with Israel’s Cortica and Hong Kong’s Duotem Capital to develop artificial intelligence (AI) based services for the securities industry. Initial work will focus on the post-trade industry, with a viable service expected to be demonstrated in coming months.

The collaboration will identify and evaluate AI-based business opportunities in SIX’s business areas and develop new offerings for SIX in the financial sector. These include the recognition of trading patterns such as front running and spoofing, the creation of algorithms to identify fraudulent payments, machine learning support for manual corrections in the post-trading domain, as well as the creation of a real-time business operations dashboard. Further use cases will be evaluated by the organisations over the course of the initial phase, which will last for one quarter.

To enable the creation of these, and potentially other solutions, SIX, through its stock exchange arm, will make its historical transaction data available to Cortica for modelling and algorithm development. Cortica develops AI technology that learns on its own in real time, interacts with the real world, and collaborates with other technologies and machines.

According to Thomas Zeeb, member of the executive board and head of the securities and exchanges business unit at SIX, says: “Today’s AI capabilities, coupled with self-learning technologies, open up a world of possibilities and opportunities for us to improve the way we perform in terms of efficiency, transparency and compliance as an industry.”

Philippe Metoudi, CEO at Duotem Capital, comments: “Working with SIX, Cortica and Duotem plan to create solutions that resolve industry issues by bringing in future-oriented technologies and applying systems that can learn faster, adapt more rapidly and deliver to a higher quality. SIX has seen the potential for industry-wide service improvement without jeopardising existing, mission critical, infrastructure.’

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

World Federation of Exchanges Urges Regulators to Balance Quantum Risk with Near-Term Cyber and AI Threats

The World Federation of Exchanges (WFE) has called on regulators to balance long-term quantum computing risks against more immediate operational challenges in the financial sector. The association’s press release highlights a substantial gap between regulatory expectations for early preparation and the industry’s current prioritisation of nearer-term threats such as generative artificial intelligence (GenAI) and cyber...

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

The Data Management Implications of Solvency II

Bombarded by a barrage of incoming regulations, data managers in Europe are looking for the ‘golden copy’ of regulatory requirements: the compliance solution that will give them most bang for the buck in meeting the demands of the rest of the regulations they are faced with. Solvency II may come close as this ‘golden regulation’:...