Enterprise LIMS, ELN and lab informatics software for regulated labs
STARLIMS sells laboratory informatics software (LIMS, ELN, SDMS, LES) whose core still runs on SQL Server, Oracle, PL/SQL and .NET, while newer work targets AWS serverless, React/Next.js and OpenAI/Anthropic models via MCP. Job posts point to an agent runtime platform with evaluation harnesses and human approval gates, which signals a serious push to add AI agents on top of a legacy lab platform. Hiring is senior-heavy and engineering-led.
STARLIMS is a privately held software company founded in 1986 and headquartered in Hollywood, Florida, with 201–500 employees. It builds laboratory information management and informatics products, including LIMS, electronic lab notebooks, scientific data management, lab execution and advanced analytics. Its customers include life sciences, CDMO, food and beverage, chemical, oil and gas, public health, clinical diagnostics and contract testing labs in many countries. Business operations run on Salesforce, NetSuite, Zendesk and Adaptive Planning. Current hiring covers the United States and the Netherlands.
STARLIMS uses SQL Server, Oracle, PL/SQL, C#, .NET and Java for its core platform. Newer services run on AWS Lambda, Step Functions, DynamoDB, React, Next.js and TypeScript, with OpenAI, Anthropic and MCP for AI work.
Yes. Job posts reference an agent runtime platform, an evaluation harness for multi-step behavior and human-in-the-loop approval gates, built with OpenAI, Anthropic and MCP on AWS.
STARLIMS is headquartered in Hollywood, Florida, United States. It is currently hiring in the United States and the Netherlands, mainly for senior engineering, research, ops and support roles.
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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.