London Fintech Permutable Bets on AI Partner Network Claiming 90% Faster Analysis

Tuesday, 11/11/2025 | 09:28 GMT by Damian Chmiel
  • The company uses specialized large language models to process real-time news and macroeconomic data.
permutable

London-based Permutable AI announced an expansion of its partner network as the company looks to distribute its artificial intelligence-driven market intelligence platform more widely across financial, commodities and energy sectors.

The fintech, founded by former Merrill Lynch and Citibank trader Wilson Chan, builds systems that process real-time news and macroeconomic data through what it calls vertical large language models: AI systems trained specifically for financial markets rather than general purposes.

The company said it's looking to embed its data feeds into other firms' trading platforms, analytics tools and enterprise systems through licensing deals and integrations.

Wilson Chan
Wilson Chan

“By collaborating with forward-thinking institutions and data platforms, we're creating systems that understand global events as they unfold,” Chan said.

Distribution Partners Get Access to Data Feeds

The partnership program gives other platforms access to Permutable's sentiment analysis and macroeconomic data through APIs and alerts. Platform providers can then offer this data to their own clients, adding another layer to existing analytics products.

Michael Brisley, the company's Chief Commercial Officer
Michael Brisley, the company's Chief Commercial Officer

Michael Brisley, the company's Chief Commercial Officer, said partners range from large investment banks and hedge funds to fintech platforms and institutional data providers. He didn't name specific partners or disclose the size of the network.

“Together, we're replacing legacy systems with adaptive, reasoning-driven intelligence that evolves with the markets,” Brisley said.

At the beginning of this year, Permutable AI announced that it had expanded its coverage to include the FX market, a significant addition to its offerings for brokers and CFD traders.

Push Into Embedded Intelligence

Permutable said the partnerships involve more than just data delivery. Some collaborations include replacing older analytics systems with what the company describes as adaptive AI architectures that learn from market conditions. Other deals involve integrating Permutable's data streams directly into trading workflows or building custom intelligence products for specific clients.

The company's main product, called Trading Co-Pilot, processes news and data to generate trading signals for commodities, currencies and macro assets. Permutable claims the tool can cut analysis time by up to 90 percent, though it didn't provide independent verification of that figure.

Chan, who previously worked in algorithmic trading at Tsar Capital after stints at major banks, co-founded Permutable in 2017 with Dr. Alex Medvedev. The company was originally built to serve Petroineos, one of the world's largest petrochemical trading firms, before expanding to offer its platform more broadly.

London-based Permutable AI announced an expansion of its partner network as the company looks to distribute its artificial intelligence-driven market intelligence platform more widely across financial, commodities and energy sectors.

The fintech, founded by former Merrill Lynch and Citibank trader Wilson Chan, builds systems that process real-time news and macroeconomic data through what it calls vertical large language models: AI systems trained specifically for financial markets rather than general purposes.

The company said it's looking to embed its data feeds into other firms' trading platforms, analytics tools and enterprise systems through licensing deals and integrations.

Wilson Chan
Wilson Chan

“By collaborating with forward-thinking institutions and data platforms, we're creating systems that understand global events as they unfold,” Chan said.

Distribution Partners Get Access to Data Feeds

The partnership program gives other platforms access to Permutable's sentiment analysis and macroeconomic data through APIs and alerts. Platform providers can then offer this data to their own clients, adding another layer to existing analytics products.

Michael Brisley, the company's Chief Commercial Officer
Michael Brisley, the company's Chief Commercial Officer

Michael Brisley, the company's Chief Commercial Officer, said partners range from large investment banks and hedge funds to fintech platforms and institutional data providers. He didn't name specific partners or disclose the size of the network.

“Together, we're replacing legacy systems with adaptive, reasoning-driven intelligence that evolves with the markets,” Brisley said.

At the beginning of this year, Permutable AI announced that it had expanded its coverage to include the FX market, a significant addition to its offerings for brokers and CFD traders.

Push Into Embedded Intelligence

Permutable said the partnerships involve more than just data delivery. Some collaborations include replacing older analytics systems with what the company describes as adaptive AI architectures that learn from market conditions. Other deals involve integrating Permutable's data streams directly into trading workflows or building custom intelligence products for specific clients.

The company's main product, called Trading Co-Pilot, processes news and data to generate trading signals for commodities, currencies and macro assets. Permutable claims the tool can cut analysis time by up to 90 percent, though it didn't provide independent verification of that figure.

Chan, who previously worked in algorithmic trading at Tsar Capital after stints at major banks, co-founded Permutable in 2017 with Dr. Alex Medvedev. The company was originally built to serve Petroineos, one of the world's largest petrochemical trading firms, before expanding to offer its platform more broadly.

About the Author: Damian Chmiel
Damian Chmiel
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About the Author: Damian Chmiel
Damian's adventure with financial markets began at the Cracow University of Economics, where he obtained his MA in finance and accounting. Starting from the retail trader perspective, he collaborated with brokerage houses and financial portals in Poland as an independent editor and content manager. His adventure with Finance Magnates began in 2016, where he is working as a business intelligence analyst.
  • 3072 Articles
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