Market surveillance and compliance for crypto and equities trading
Solidus Labs operates a detection and monitoring platform for trade surveillance and market-integrity compliance, built on a heavyweight data stack: ClickHouse, Kafka, Snowflake, Apache Airflow, and Kubernetes. Current engineering velocity is concentrated on ClickHouse cluster optimization and ETL reliability — signaling a shift toward real-time, high-volume data processing to support low-latency detection. Hiring is accelerating across sales and data roles, with leadership-level seniority mix indicating a move from founder-driven development toward scaled go-to-market and data infrastructure teams.
Solidus Labs provides trade-surveillance and compliance technology for digital-asset and equities markets. The platform correlates trading signals, blockchain on-chain data, funding flows, and social sentiment to detect market manipulation and integrity violations across multiple venues and asset classes. Founded in 2018 and headquartered in New York, the company employs 51–200 people and is expanding hiring across sales, data engineering, and marketing roles. The product sits at the intersection of regulatory compliance, real-time data processing, and AI-driven detection.
ClickHouse, Kafka, Snowflake, Apache Airflow, Kubernetes, AWS, Prometheus, Grafana, Redis, and Python. The stack emphasizes high-volume, low-latency data processing and real-time analytics infrastructure.
ClickHouse infrastructure optimization and cluster capacity planning, end-to-end ETL workflows, data deduplication and reliability at scale, AI-driven data enrichment, and growth-marketing initiatives including ABM and multi-channel campaigns.
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Solidus Labs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.