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CoMind manufactures optical brain-monitoring hardware paired with an AI platform (CoVision) for real-time physiological signal inference in clinical settings. The tech stack reveals a hardware-first organization: FPGA design (Xilinx, Vivado, Verilog, VHDL), optical characterization (Altium Designer, JESD204B signaling), and embedded C/C++/CUDA—typical of companies building medical-grade sensor systems. Active pain points center on clinical deployment and regulatory pathways, not technology scaling, indicating the bottleneck is field validation and FDA submissions rather than R&D velocity.
Tech Stack 22 technologies
What CoMind Is Building
◆Challenges
- Deploying new medical device into hospitals
- Ensuring smooth execution of clinical studies
- Rapid scientific and clinical scale-up
- Operational excellence of r&d organisation
- Getting models from research to production
- Regulatory compliance for medical devices
- Compliance with medical device quality requirements
- Regulatory submissions
- Ensuring repeatability and traceability
▲Active Projects
- R&d programme portfolio across optics, data science, and machine learning
- Knowledge management and onboarding processes
- Physiological signal inference
- Ml model architecture validation
- Clinical data analysis workstreams
- Signal processing and machine learning models for cerebral blood flow and autoregulation
- Medical-grade software for fda regulatory pathways
- Characterisation test plans for optical components
- Build and maintain characterisation systems
- Develop sops for characterisation methods
Hiring Activity
5 roles · 4 in 30d
Department
Seniority
Company intelligence
