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

A-Team Insight Briefs

Tradeteq Partners with Wroclaw University to Boost AI capabilities for Supply Chain Credit Analysis

Subscribe to our newsletter

Tradeteq, an electronic trading platform for institutional trade finance investors, has partnered with researchers at Wroclaw University of Science and Technology (WUST) to explore and develop new models for data analysis using artificial intelligence (AI). Tradeteq has developed an advanced credit-scoring model for SMEs and corporations that uses machine learning tools to apply an evidence-based credit score for each company. The six-month collaboration with WUST’s Computer Science department, led by Dr Tomasz Kajdanowicz, will explore how company and trade flow data can be better analysed to improve supply chain credit analysis.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Optimising cloud, marketplaces & managed data services

Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving firms toward managed services and cloud-native delivery models that can offer greater scalability, resilience and cost...

BLOG

Exegy and MarketsIO Target the Market Data Migration Deadlock

For years, financial institutions have faced an uncomfortable trade-off around enterprise market data infrastructure. Legacy platforms may be expensive, complex and increasingly ill-suited to modern trading environments, but replacing technology embedded across hundreds or thousands of applications can introduce even greater cost and operational risk. A recently announced partnership between Exegy and MarketsIO is taking...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...