Employee compliance platform for conflicts of interest and trade monitoring
StarCompliance builds employee compliance software covering personal trading, gifts, outside activities and deal control rooms for regulated firms. Its stack pairs an AWS-native core (ECS, Lambda, MSK, GuardDuty, Terraform) with a dense vector and Azure AI layer (Pinecone, Weaviate, pgvector, Azure OpenAI), and an engineering- and data-led, lead-heavy hiring push points to an active pivot toward an AI-first product with MLOps and semantic search.
Notable leadership hires: Sales Director, Engineering Team Lead
StarCompliance provides a compliance platform that helps firms monitor and mitigate employee conflicts of interest, including personal trading, insider trading, private investments, gifts and entertainment, outside business activities and political donations. A mobile app lets employees submit pre-clearance and spending requests while compliance officers and supervisors approve them remotely. A Control Room module centralizes deal-related activity to speed conflict searches and deal clearance. The privately held company is headquartered in Rockville, Maryland, employs 201–500 people and serves clients in 114 countries.
StarCompliance runs on AWS (ECS, Lambda, RDS, DocumentDB, MSK, KMS) with Terraform, CircleCI and Bitbucket, plus Snowflake, Azure OpenAI Service, Azure Machine Learning, Pinecone, Weaviate and pgvector for AI and data.
Yes. Hiring is accelerating and concentrated in engineering and data, mostly at lead and senior levels, including an Engineering Team Lead, alongside a Sales Director role.
Job posts point to an AI roadmap, MLOps pipelines, generative AI adoption, semantic search, multi-account AWS infrastructure built with Terraform, and a backup and disaster recovery solution.
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StarCompliance'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.