CoMind builds light-based, non-invasive brain monitoring devices paired with an AI platform, CoVision, for critical care settings. Its stack of FPGA tooling (Xilinx Zynq, Vivado, Verilog/VHDL), Embedded Linux via Yocto, Jetson with CUDA and llama.cpp, plus optics simulation in Zemax and COMSOL, points to deep in-house hardware-to-AI engineering. Pain points around QMS, ISO 13485 and post-market surveillance, plus a new QA Director role, signal a push toward commercial release.
Notable leadership hires: Quality Assurance Director
CoMind is a London-based medical device company founded in 2018 that designs and manufactures non-invasive brain monitoring technology using light. Its system produces a multidimensional view of brain activity, and its AI platform, CoVision, is aimed at helping clinicians anticipate complications. Target settings include intensive care, surgery and emergency departments. The privately held company has 51–200 employees and recruits in the United Kingdom and United States, with hiring concentrated in engineering alongside healthcare and research roles.
CoMind uses Python, C++, Embedded Linux with Yocto, FPGA tools like Xilinx Zynq UltraScale+, Vivado, Verilog and VHDL, NVIDIA Jetson with CUDA, AWS, Altium Designer, Zemax and COMSOL, plus Jira, Confluence and Bitbucket.
Yes. Hiring is accelerating and weighted heavily toward senior and staff engineering roles, with additional healthcare and research openings and a Quality Assurance Director role, across the UK and US.
CoMind is advancing its CoVision platform, deploying neuromonitoring technology into hospitals, pursuing ISO 13485 certification, building a post-market QMS, and transferring designs to manufacturing.
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CoMind'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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