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Scarlet raises $50 million series b to expand AI medical device certification

Scarlet, a London‑based certification body for AI‑enabled medical devices, announced a $50 million Series B round led by Headline. New investor Notion Capital joined existing backers Atomico, Creandum, Kindred Capital and Entrepreneurs First. Headline partner Nancy Xiao McLaughlin also took a seat on Scarlet’s board.

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Key points

  • Scarlet secured $50 million Series B led by Headline with participation from six investors.
  • The round will fund Scarlet’s US and Asia‑Pacific expansion and hiring of AI reviewers and engineers.
  • Scarlet is the only EU‑designated body specializing in AI and software medical‑device certification.

The funding is earmarked for expansion in the United States and Asia‑Pacific, allowing Scarlet to grow its pool of expert AI reviewers and engineers and broaden its certification services. Scarlet, designated by the EU, the UK’s MHRA and the US FDA as a third‑party review organisation, claims to be the only EU‑designated body that focuses exclusively on software and AI. Its platform lets customers upload technical documentation for assessment, covering ongoing surveillance, annual audits and product changes. Clients include Flo Health, DeepHealth, NHS England, Skin Analytics, Heidi Health and Tandem, all developing AI models such as LLMs and computer‑vision systems.

Full story from tech.eu · by Cate Lawrence · via TechmemeOpen source ↗

London-based Scarlet, which certifies AI and software for medical devices, raised a $50M Series B led by Headline to support its US and Asia-Pacific expansion

tech.eu · 12 October 2026

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This text was published by tech.eu and written by Cate Lawrence. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page
ScarletHeadlineNotion CapitalAtomicoCreandumKindred CapitalNancy Xiao McLaughlinJames DewarJamie CoxFinn Stevenson

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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