Solidus Labs provides an agentic-based compliance platform for digital asset markets, offering trade surveillance and transaction monitoring capabilities. The platform integrates behavioral, transactional, and market data to detect and investigate market abuse and financial crime across various asset classes. This unified approach streamlines compliance workflows, enabling institutions to manage risk and maintain market integrity efficiently.
Funding
$68M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The cryptocurrency market is susceptible to manipulation and fraud due to its decentralized nature and nascent regulatory frameworks. Traditional surveillance systems are often inadequate for detecting sophisticated manipulation tactics specific to digital assets, leading to increased risks for financial service providers and hindering market transparency.
Solution
Solidus Labs offers a blockchain-native trade surveillance and transaction monitoring platform that leverages machine learning to detect and deter illicit activities across the digital asset ecosystem. The HALO platform monitors off-chain, on-chain, and pre-chain data to combat crypto crime, fraud, and market abuse. It identifies orders, executions, and DEX trades that deviate from market norms, detects suspicious crypto and crypto-to-fiat transactions, and delivers compliant blocks to institutional Ethereum validators. The platform's cross-module algorithms combine the monitoring of user transactions and trading activities to effectively mitigate overlooked risks.
Target Audience
The primary target audience includes financial service providers, crypto exchanges, institutional investors, and regulatory bodies seeking to mitigate risks, improve transparency, and ensure compliance within the cryptocurrency market.
Features
- Trade Surveillance: Identifies orders and executions that defy market norms using machine learning algorithms.
- Transaction Monitoring: Detects suspicious on/off-chain crypto deposits and withdrawals.
- Staking Guard: Delivers compliant blocks to institutional Ethereum validators, providing protection against compliance risks and onchain threats.
- Multi-Product, Multi-Venue: Detects suspicious cross-product trading patterns across spot and derivatives markets, and cross-venue activity across major crypto exchanges.
- Cross-Chain Analysis: Monitors activity across multiple blockchains to identify complex manipulation schemes.
- Real-time Data Injection and Alerting: Operates in a 24/7 mode with real-time data analysis and alerts.
- Customizable Alert Thresholds: Allows users to tailor alerts based on specific risk parameters.