Portable AI-powered EEG system for seizure detection in acute care
Ceribell sells a rapidly deployable EEG device with AI seizure-detection algorithms to ICUs and emergency departments. The stack pairs a deep embedded toolchain (STM32, FreeRTOS, Embedded Linux, TouchGFX, Qt, Altium) with GCP and AWS cloud services. Hiring is overwhelmingly sales-led with heavy director-level demand, and job posts center on new hospital launches, install-base upgrades and departmental expansion. That points to a land-and-expand commercial push.
Notable leadership hires: Regional Account Director, Chief of Staff, Medical Director
Ceribell is a public medical technology company founded in 2014 and headquartered in Sunnyvale, California, with 201–500 employees. Its Ceribell System combines proprietary portable EEG hardware with AI algorithms for rapid neurological diagnosis and continuous patient monitoring. The system holds FDA 510(k) clearance for indicating suspected seizure activity. Its primary users are clinicians in hospital intensive care units and emergency rooms across the U.S. The company currently hires in the United States, Colombia and New Zealand.
Ceribell's embedded stack includes STM32, ARM Cortex, FreeRTOS, Embedded Linux, C++, TouchGFX, LVGL and Qt. It runs cloud services on GCP Cloud Run and AWS, and uses Salesforce, NetSuite and Power BI for business operations.
Yes. Sales is Ceribell's dominant hiring area, including senior roles such as Regional Account Director. Smaller hiring streams cover engineering, product, research and clinical functions like a Medical Director.
Ceribell is headquartered in Sunnyvale, California. It hires in the United States, Colombia and New Zealand.
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Ceribell │ AI-Powered Point-of-Care EEG'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.