Forensic science platform verifying product and raw material origin
Oritain pairs lab science (ICP-MS, LIMS) with an Azure-centric software stack of Python, Django, FastAPI, Databricks and Data Factory to verify where products and raw materials come from. Accelerating hiring across engineering, data and sales, plus projects around federal contracts and pipeline, points to a push into US government markets alongside productizing its origin-verification models.
Oritain, founded in 2008 and headquartered in London, verifies the origin of products and raw materials using forensic science. It serves brands, suppliers and regulators across supply chains including textiles, cotton, food and pharmaceuticals. The company is privately held with 201–500 employees and hires in the United Kingdom and the United States. Its work combines laboratory analysis with data and software platforms built largely on Azure, Python and PostgreSQL, with Salesforce and NetSuite supporting commercial and finance operations.
Oritain runs on Azure (App Service, Functions, Data Factory, DevOps), Python with Django and FastAPI, PostgreSQL, React and TypeScript, Databricks and Spark, plus lab tools like ICP-MS and LIMS, and Salesforce and NetSuite.
Oritain is headquartered in London, England, and hires in both the United Kingdom and the United States.
Current initiatives include origin-verification science models, embedding analytics into products, predictive operational models, a digital commercial playbook, and building a pipeline for US federal contracts.
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Oritain'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 →
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