Blockchain analytics and crypto compliance intelligence for AML and sanctions
Elliptic sells blockchain intelligence used for crypto AML, sanctions and counter-terrorist-financing work, with a sales-led hiring push now accelerating. The stack pairs a mature cloud-native platform on AWS EKS with Istio, Linkerd, Flux, Crossplane and Kyverno alongside LangChain, LangGraph and LangSmith, which points to LLM agents being built into investigation workflows and backed by formal evaluation of model outputs.
Elliptic is a privately held, London-headquartered company with 51–200 employees. It provides blockchain analysis and cryptoasset intelligence to organizations handling compliance, risk management, investigations and blockchain infrastructure. Its focus areas include AML, CFT, sanctions screening and crypto regulation. The company is hiring across the United States, United Kingdom, China and Bolivia, with roles spanning sales, engineering, data, support, research and security.
Elliptic runs TypeScript, Node.js, NestJS and Python on AWS (EKS, ECS, Lambda, DynamoDB), with Kubernetes, Istio, Flux, Terraform and Vault. It also uses LangChain, LangGraph and LangSmith for LLM work, plus Datadog and HubSpot.
Yes. Hiring is accelerating and led by sales, followed by engineering, data, support and research. Most openings are at senior level, across the US, UK, China and Bolivia.
Current work includes enterprise proof-of-concept engagements and implementations, evaluation frameworks for LLM outputs, changes to its sanctions monitoring operating model, and counter-terrorist-financing research on crypto activity.
Other companies in the same industry, closest in size
Elliptic'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.