FDA-cleared EEG platform for neurological disease diagnosis and monitoring
Beacon Biosignals builds an AI platform around FDA-cleared EEG wearables and machine-learning algorithms to accelerate diagnosis and treatment of neurological and psychiatric disorders. The tech stack—.NET, Python, Kubernetes, Azure/AWS, and Terraform—reflects a regulated medical-device company managing both cloud infrastructure and embedded firmware. Current hiring is data-heavy (5 open roles) relative to engineering (3), suggesting the company is scaling ML model development and clinical validation faster than core platform growth, while simultaneous acceleration in home sleep testing and legacy modernization indicates competing infrastructure priorities.
Beacon Biosignals, founded in 2019 and based in Boston, develops an AI-driven brain analytics platform for neurological and psychiatric care. The company combines FDA-cleared EEG wearables with proprietary algorithms and large clinical datasets to enable rapid diagnosis and treatment monitoring. Revenue streams span direct clinical diagnostics, home sleep testing services, and platform licensing to healthcare systems. Current operational focus spans product expansion (mobile features, portal enhancements), scaling home sleep testing delivery, and modernizing legacy backend systems—all while maintaining compliance and managing the operational complexity of medical-device manufacturing and clinical workflows.
Core stack: .NET, Python, Vue, TypeScript, Kubernetes, Terraform, Docker, GitHub Actions, Azure DevOps, and ArgoCD. Infrastructure on AWS and Azure. Development tools include Jira, GitHub, Zendesk, and Asana.
Mobile features for data collection, beacon platform extensions, home sleep testing service delivery, clinical diagnostic tests, legacy system modernization, cloud infrastructure optimization, and the clevemed portal.
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