News

Pometry Helps Build the Next Generation of Financial Graph Benchmarks Together With The LDBC and AntFinancial

Share post

LONDON, UK – May 26, 2022 – Pometry is proud to announce its role as a key member of the new LDBC Financial Benchmark Task Force. This vital industry initiative, led by AntGroup and announced by the Linked Data Benchmark Council (LDBC) in 2022, is dedicated to creating a standardised benchmark for graph database performance in the demanding financial services sector.

The need for a rigorous and realistic benchmark for financial graph technologies has never been greater. From anti-money laundering (AML) and fraud detection to real-time risk analysis, financial institutions rely on high-performance graph databases to navigate immense and complex datasets that are constantly evolving.

As a member of this task force, Pometry will contribute its world-leading expertise in high-performance temporal graph analysis. We will work alongside AntGroup and other industry leaders to help build a benchmark that truly reflects the challenges of modern finance - especially the critical dimension of time. Our goal is to ensure the new standard provides the industry with a reliable and accurate way to evaluate the tools they depend on to fight financial crime and manage risk.

"The creation of a dedicated financial benchmark is a landmark moment for the graph industry, and we are thrilled to be a part of it," said Alhamza Alnaimi, CEO at Pometry. "The most sophisticated financial analysis requires an understanding of how relationships and transactions change over time. We are excited to bring our deep experience in temporal graphs to this collaboration and work with AntGroup and the other LDBC members to build a standard that will drive innovation and foster trust across the financial ecosystem."

This initiative aligns perfectly with our mission to solve the most complex data challenges. We believe that by helping to create a fair and comprehensive benchmark, we can contribute to a safer and more efficient global financial system.

We look forward to sharing our progress with you.

About Pometry:Pometry provides a high-performance temporal graph platform designed to help organisations uncover insights from large-scale, evolving data. By capturing the full history of data and its connections, Pometry empowers industries like finance, telecommunications, and cybersecurity to solve their most critical challenges.

About LDBC:The Linked Data Benchmark Council (LDBC) is a non-profit organisation dedicated to establishing industry-standard benchmarks for graph and RDF data management systems. Learn more at ldbcouncil.org.

Resources

You might also like

Discover insights and tools for data analysis.

The hidden failures of transformation
null

The hidden failures of transformation

Large organisations today have more delivery data than ever. And yet, major programmes still drift. There is a mismatch between what transformation leaders can see and how transformation systems actually behave...
January 29, 2026
5 minutes
Why delivery optimisation is making transformation worse
null

Why delivery optimisation is making transformation worse

For more than a decade, large banks have invested heavily in improving delivery. Agile at scale, lean governance, value-stream management, cloud tooling, and increasingly sophisticated PMOs were introduced with a clear aim: make transformation faster, cheaper, and more predictable. In many respects, this worked...
January 15, 2026
4 mins
The Missing Link for AI Agents: Why a Native Temporal Graph is Non-Negotiable
null

The Missing Link for AI Agents: Why a Native Temporal Graph is Non-Negotiable

The recent OpenAI Cookbook on “Temporal Agents with Knowledge Graphs” has provided a brilliant blueprint for the next generation of AI: agents that don’t just answer questions, but reason over time, understand evolving contexts, and maintain a persistent, accurate memory. The cookbook perfectly outlines the what and the why – and the need to systematically update and validate a knowledge base, perform multi-hop retrieval, and resolve temporal conflicts.
August 27, 2025
3 min 52 sec

Unlock Your

Data's Potential

Discover how our tool transforms your data analysis with a personalized demo or consultation.

Learn more
Book a demo