Analytical features that aren’t available anywhere else

Most mainstream graph visualisation and investigative tools are limited to visualising around 10,000 items, often because they were designed primarily for human-scale investigations, not enterprise-scale network analytics.

GRAPHT allows intelligence teams to view more of these networks (100 times more than legacy network visualisation products).¹

“GRAPHT offers fully 3D graphs with scalable visualisation, layouts and analytical features that are just not possible anywhere else.”

Scale is nothing without control

When dealing with networks of hundreds of thousands (or even millions) of entities, the limiting factor moves from availability to human perception.

GRAPHT’s graphite engine allows the analyst to quickly identify and toggle through multiple complex networks. Each network can be explored thoroughly, allowing the analyst to rotate around or ‘fly through’ the data to identify the points of interest.

GRAPHT doesn’t just show large networks, it makes them understandable and explorable at human scale. Its 3D physics, live analytics, and scalability convert overwhelming data complexity into actionable, real-time insight, revealing the hidden fraud ecosystems that smaller, flat tools just can’t render.

This transforms a confusing “hairball” into a navigable, interpretable structure. Like moving from a flat map to a full 3D city model.

Introducing GRAPHT

It’s estimated that undetected fraud costs a large UK insurer between 100 - 120 million a year.²

Can your organisation afford to not use GRAPHT?

Estimated from 10,000 items being usably visualised on a modern PC using legacy network visualisation software. With GRAPHT usably visualising 1,,000,000 items on the same machine through the browser.

Detected insurance fraud in the UK was estimated at £1.1 billion in 2022 (ABI). Studies suggest a similar amount of fraud goes undetected each year, implying total UK fraud of roughly £2.2 billion. Large insurers with 10% of the UK market would therefore face a total fraud exposure of £220 million annually, of which approximately half (£100–120 million) is detected, with a similar amount (£100–120 million) estimated to be undetected.