On-chain intelligence platform for a financial-intelligence unit

The client is a UK public-sector financial-intelligence function responsible for monitoring illicit activity across digital-asset networks. For a body with a regulatory remit, decisions have to be evidenced and traceable back to the underlying chain data.

Their analysts were technically capable but had no dedicated tooling, so every on-chain investigation meant hand-querying nodes and stitching results together in spreadsheets.

Raw Ethereum data is voluminous and unstructured, so answering even a simple question about a wallet's history meant bespoke scripting against a node. Analysts spent their time assembling data rather than interpreting it.

Without a shared, indexed view, two analysts looking at the same address could reach different conclusions, and nothing was reproducible for a case file. Intelligence that cannot be reproduced is difficult to act on.

The unit needed a self-service platform that let non-engineers explore on-chain activity and flag suspicious patterns quickly, while keeping every finding traceable to source. Speed and evidential rigour had to arrive together.

We built an indexing layer on The Graph over Ethereum, so wallet histories, token flows, and contract interactions were queryable through GraphQL in seconds instead of hand-rolled node scripts. Indexing the chain once is what turns days of scripting into a self-service query.

A Node.js service layer added risk scoring and clustering on top, surfacing the relationship patterns and rapid-movement behaviours that flat address lookups miss. Looking at the network around an address, not just the address, is what exposes the subtler cases.

Every figure on the dashboard resolved back to the on-chain transaction behind it, so an analyst could open any flag and show its evidence. The platform gave the unit faster answers without loosening the chain of evidence.