Pometry Wins Prestigious BIS Innovation Hub 2025 Analytics Challenge

LONDON, UK – 28 March 2025 – Pometry, a leader in temporal graph analytics, today announced it has won the Bank for International Settlements (BIS) Innovation Hub’s 2025 Analytics Challenge. Pometry was selected for its groundbreaking approach to detecting sophisticated financial crime using its temporal network analytics platform, Raphtory.

The BISIH challenge sought innovative solutions to tackle complex problems in anti-money laundering (AML) and financial intelligence. Pometry’s winning submission demonstrated the unique power of temporal graphs - which analyse how data and relationships evolve over time - to uncover illicit activities that static analysis and traditional graph databases miss.

While most systems struggle with the scale and complexity of dynamic financial data, Pometry’s Raphtory platform processed the challenge's entire massive dataset, analysing billions of transactions on a single laptop. A single Pometry engineer developed the complete analytics pipeline, from data preprocessing to identifying complex AML patterns, in just one week. The platform analysed the full dataset in only 20 minutes, a task that can take other systems weeks or months.

Pometry’s solution identified a wide range of sophisticated AML typologies, including:

• Layering: Rapidly dispersing large inbound transactions to multiple accounts.
• Funneling: Receiving multiple small transactions before sending a single large one.
• Scatter & Gather: Distributing funds to multiple accounts which then all funnel to a single destination.
• Dormant Account Activation: Flagging accounts that suddenly become active after long periods of inactivity.
• Chaining: Identifying circular transaction loops, even when they span across long time windows.

"We are incredibly honored to be recognised by the BIS Innovation Hub," said Alhamza Alnaimi, CEO and Co-founder of Pometry. "This win validates what we’ve long known: the future of complex data analysis lies in temporal graphs. Static snapshots of data are no longer enough. To fight sophisticated financial crime, you must be able to see how patterns evolve. Our platform was built from the ground up to answer this question, delivering insights 250 times faster than other systems while running on a fraction of the hardware."

Pometry’s platform provides a unified solution for data storage, analysis, and visualisation, complete with a conversational AI interface. It is already in use by government agencies and FTSE 10 financial institutions, helping them move from raw data to actionable insights in weeks instead of months.

About Pometry

Pometry is a temporal graph intelligence company, pioneering a new dimension of data analysis that empowers organizations to make forward-looking, proactive, decisions by understanding how data evolves over time.

Using a high-performance temporal graph engine, Pometry’s platform helps organizations uncover sophisticated risks and previously invisible opportunities by unifying siloed data and revealing the entire history of how relationships and behaviours change. It solves critical challenges in advanced fraud and AML detection, AI-native application development, and startup acceleration where understanding temporal context provides a decisive competitive advantage.

The Pometry temporal graph engine enhances analytical performance with query resolutions up to 200x faster than state-of-the-art graph systems and 1000x faster legacy graph databases, capable of ingesting 2.8TB of data in just 26 minutes on a laptop. This efficiency allows startups to maximize their runway by running complex graph machine learning on lean hardware, while enterprises can dramatically accelerate investigation times and reduce false positives.

Founded by experts in high-performance computing and graph analytics, Pometry is dedicated to building the foundational data layer for the next generation of intelligent applications. For more information, visit www.pometry.com or follow us on LinkedIn.