Enterprise LIMS and ELN platform for regulated life sciences labs
STARLIMS operates a mature LIMS business spanning 2,000+ laboratories across pharma, food safety, and contract manufacturing, with over 1,100 enterprise customers in 85 countries. The tech stack reveals a multi-year migration underway: Java/C#/Oracle backend shifting toward cloud-native infrastructure (AWS Lambda, Fargate, ECS) paired with AI/ML tooling (OpenAI, Anthropic, Pinecone for RAG pipelines). Current hiring velocity is sales-heavy (5 of 10 open roles) while engineering focuses on AI feature integration and support process automation—suggesting product maturation with go-to-market expansion.
STARLIMS provides laboratory information management systems (LIMS) and electronic laboratory notebooks (ELN) for regulated industries including pharmaceuticals, contract development and manufacturing, food and beverage, and clinical diagnostics. The product suite spans LIMS, ELN, scientific data management systems (SDMS), laboratory execution systems (LES), and advanced analytics. Founded in 1986 and headquartered in Hollywood, Florida, the company operates at enterprise scale with 201–500 employees and derives revenue from subscription and perpetual licensing models across global customer bases. Pain points indicate a focus on digitizing paper workflows, maintaining GMP compliance, and reducing support friction through AI-assisted processes.
STARLIMS runs Java, C#, and Oracle on premises with a modern cloud layer: AWS (Lambda, Fargate, ECS), MySQL, and SQL Server. Frontend is React/TypeScript/Next.js. Recent additions include OpenAI, Anthropic, and Pinecone for AI/ML features.
STARLIMS is deployed across 2,000+ laboratories worldwide, serving over 1,100 customers in 85 countries spanning life sciences, contract manufacturing, food and beverage, and clinical diagnostics.
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STARLIMS'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.