AI-powered medical imaging platform serving clinical sites globally
TeraRecon builds AI-enhanced visualization software for radiology, oncology, cardiology, and neurology workflows across ~1,900 clinical sites. The stack—React, Angular, GraphQL, Kubernetes, AWS/GCP/Azure, plus CUDA for GPU-accelerated rendering—reflects a mature, cloud-native platform architecture. Active engineering work on zero-footprint web DICOM viewers and micro-frontends signals modernization of legacy imaging infrastructure; concurrent pain points around multi-tenant isolation, compliance, and cloud reliability indicate the complexity of running production healthcare systems at scale.
TeraRecon, a ConcertAI company, develops AI-powered imaging analysis and visualization software for clinical teams in radiology, oncology, cardiology, neurology, and vascular surgery. The platform operates independently of hardware vendors or PACS systems, unifying workflows across distributed clinical sites. Headquartered in Durham, North Carolina, the company was founded in 1997 and employs 51–200 people. Current hiring momentum focuses on engineering, with secondary demand in sales and product roles, spread across India, Japan, Australia, and the United Kingdom.
React, Angular, TypeScript, GraphQL, Kubernetes, Docker, Python, .NET Core, PostgreSQL, MongoDB, AWS, GCP, Azure, CUDA for rendering, plus healthcare standards (HL7, FHIR).
Zero-footprint web DICOM viewer, micro-frontends architecture, cloud-native AI platform for medical imaging, CUDA-based rendering server, and backend microservices for imaging data ingestion.
TeraRecon, Inc.'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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