Trade surveillance and market-integrity compliance for digital assets and equities
Solidus Labs builds trade surveillance and market-abuse detection software spanning crypto and traditional markets. Its stack pairs Kafka, ClickHouse and Rust with Airflow and Snowflake, a streaming-plus-analytics design suited to the real-time and T+1 batch pipelines it is building. Recurring pain points around false positives and alert explainability, plus senior-heavy hiring across engineering and sales, point to a push on detection quality and mid-market expansion.
Notable leadership hires: Tech Lead
Solidus Labs is a New York-based, privately held company founded in 2018, with 51–200 employees. It provides market integrity, trade surveillance and compliance technology for digital asset venues, equities and other asset classes. Its detection approach correlates trading activity with on-chain and off-chain signals, funding flows and social sentiment. The company runs on AWS with Kubernetes (EKS), Terraform and GitLab CI/CD, and hires across the United States, United Kingdom, France, Israel and Switzerland.
Solidus Labs uses Kafka, ClickHouse, Snowflake, Apache Airflow, Rust, Java and Python on AWS, with Kubernetes (EKS), Helm, Karpenter, Terraform, GitLab CI/CD, Prometheus and Grafana.
Job posts point to off-chain and on-chain transaction monitoring detection suites, on-chain data pipelines, AI-driven data enrichment, real-time and T+1 batch pipelines, and expanded asset-class coverage.
Solidus Labs hires in the United States, United Kingdom, France, Israel and Switzerland, with a senior-heavy mix across engineering, sales, data and marketing.
Other companies in the same industry, closest in size
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.