Syntheticr.ai Supercharges AML Data Demos with Pometry'sTemporal Graph Insights

At Pometry, we're always excited to see how innovative companies leverage the power of temporal graph analytics to solve complex problems and unlock new value from their data. That's why we're thrilled to spotlight our collaboration with Syntheticr.ai, a leading provider of high-fidelity synthetic data for training AI and testing systems.

Syntheticr is on a mission to help organisations accelerate AI development and improve model performance by providing rich, realistic, and privacy-preserving synthetic data. For use cases like Anti-Money Laundering (AML), the ability to demonstrate complex transactional patterns, hidden relationships, and evolving criminal typologies within data is paramount. The challenge? Making these complex scenarios easily explorable and visually cohesive.

This is where Pometry steps in.

Syntheticr is leveraging Pometry's cutting-edge temporal graph database to transform how they demo their synthetic AML datasets. By ingesting their transactional data into Pometry, they can instantly:

• Visualise Complex Networks: Map out intricate webs of accounts, transactions, and entities, revealing how they interconnect.
• Explore Evolving Relationships: Track how these relationships and transaction patterns change and develop over time (hallmark of sophistical financial crime) – something static analysis tools simply can’t offer.
• Rapidly Generate Insights for Demos: As showcased in their analyses, Syntheticr.ai can quickly navigate and highlight suspicious flows, anomalous behaviours, and potential laundering schemes embedded within their rich synthetic data.

‍The result is a far more impactful and insightful demo experience. Prospective clients and users can see firsthand the depth of Syntheticr.ai's data and how it can be used to train more robust AML models or understand emerging threats.

We're proud that Pometry's speed, ease of use, and unique temporal capabilities are helping Syntheticr.ai bring their data to life.

Pometry has been a game-changer for Syntheticr.ai. Its temporal graph capabilities let us instantly demonstrate the value of our synthetic financial transaction data to clients, and how it can be used to test and train AML systems. With Pometry we can rapidly process, visualise, and explore billions of transactions, set over years of elapsed time, across highly complex networks - truly bringing the power of synthetic data to life.

Anthony Cosgrove MBE, CEO & Founder, Syntheticr.ai

By partnering with Pometry, Syntheticr.ai not only enhances its demo capabilities but also underscores the critical role that dynamic, relationship-driven insights play in understanding and combating financial crime in the modern era.