Sanctions and compliance risk intelligence built on a knowledge graph
Kharon sells risk data covering sanctions, export controls, forced labor and related exposure, delivered from a graph-centric stack of Neo4j, Neptune, Spark, Databricks and Snowflake. Its project list points to an AI layer on top of that graph: an agent platform for geopolitical signals, LLM-driven risk logic, RAG with BM25 search and graph-based ML scoring. Hiring is accelerating and weighted heavily toward senior engineering.
Kharon is a Denver, Colorado-based risk intelligence company founded in 2016 and privately held, with 51–200 employees. It supplies data and analysis that organizations use to identify sanctions, export control, forced labor, investment and third-party due diligence risk. Its offering centers on a researched knowledge graph mapping networks of restricted and high-risk actors, feeding customers' screening, compliance and investigative workflows. The company operates as a SaaS provider and hires in the United States and the United Kingdom.
Kharon runs on AWS (EKS, Lambda, RDS, Glue) with Databricks, Spark, Airflow, Kafka and Snowflake for data, Neo4j and Neptune for graphs, Elasticsearch for search, and Python, Java, Kotlin and Go services.
Current projects include an AI agent platform for geopolitical signals, a narrative generation pipeline, the CoreStream risk intelligence feed, semantic search, LLM integration for risk logic and graph-based ML risk scoring.
Yes. Engineering dominates Kharon's hiring, skewed toward senior roles, with smaller openings in marketing, research, sales and product across the United States and United Kingdom.
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Kharon'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.