Blockchain intelligence for safer digital finance.

Monitor fraud, pursue illicit activity, assess risky exposure, and detect threat behavior with product-ready crypto intelligence tools.

In development · Early access open

Blockchain analytics for crypto compliance and fraud teams.

Our mission is to make every crypto risk decision traceable to the funds behind it.

We're building tools that follow funds hop by hop and identify the exchanges, mixers and scam operations they pass through.

See an example case
The platform

Six products for three teams, built on one shared platform.

Each product is built around one team's job. Underneath, all of them are designed to read from the same attribution and pattern models, so an address labelled in one carries that label in the others.

A risk score says a wallet is dangerous. The next question, from your auditor, your regulator or your investigator, is always why.

Example case

How it's designed to work, from one deposit to a case file.

Illustrative example. The products are in development.

Illustration of a fund trace: money moves from a scam cluster through a mixer to an exchange deposit.Scam clusterMixerExchange deposit
Illustrative
  1. 01

    Screen

    A deposit arrives from a wallet you haven't seen before. It gets a score, with the reasons listed under it.

    Screen
  2. 02

    Trace

    The funds are followed back through each hop, bridge and swap.

    Investigate
  3. 03

    Attribute

    Groups of addresses are matched to the services behind them: an exchange, a mixer, a known scam campaign.

    EntityIQ
  4. 04

    Detect

    Graph models are designed to flag laundering patterns, such as peel chains, before any address in them has a public label.

    GraphAI
  5. 05

    Hand over

    The path, the sources and the timestamps go into one exportable file.

    Investigate
From research to product

Detection that starts from published findings.

Several products start from something the founder's research has measured. Each row below is one finding, the papers behind it and the product it is designed to feed.

    • WEIS 2019
    • ACM CCS Workshop on DeFi and Security 2021

    Pump-and-dump schemes

    Pump-and-dump groups pick thinly traded tokens and announce a target to their members at a set time. Token Sentinel is designed to score those conditions on new listings.

    • APWG eCrime 2025

    Crypto-enabled cybercrime

    Cybercrime that uses cryptocurrency links an off-chain lure, such as a scam website, to an on-chain destination. ScamShield and Investigate are being built around that link.

    • APWG eCrime 2022
    • HICSS 2025

    Exchange and stablecoin risk

    Exchange closures and failed crypto ventures leave customers and counterparties exposed. This line of research isn't tied to a product yet.

    Not tied to a product yet
Industries

Find the products for your organisation.

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Early access

Early access is open to a small number of compliance and fraud teams.

Tell us what your team screens, monitors or investigates today. You'll talk it through directly with the founder.

Request early access
Arghya MukherjeeFounder

Researcher in cryptocurrency cybercrime and market manipulation. He leads ChainDiligence's product direction and the research its detection starts from.

About the team