Vendor-neutral AI imaging and advanced visualization for clinical specialties
TeraRecon builds AI-driven advanced visualization software that works across imaging vendors and PACS systems. Its stack pairs a C++/CUDA and .NET imaging core with a modern LLM toolchain (PyTorch, Hugging Face, LangChain, LangGraph, RAG, DeepSpeed), pointing to model fine-tuning beyond classic post-processing. Current hiring is sales-manager-only in Australia and Italy, matching active APAC expansion and Southern European partner onboarding.
TeraRecon, a ConcertAI company founded in 1997 and headquartered in Durham, North Carolina, develops imaging intelligence software for radiology, oncology, cardiology, neurology and vascular surgery. Its solutions run independently of any single imaging equipment maker or PACS, giving clinicians one unified workflow. The company reports serving roughly 1,900 clinical sites worldwide with a team of 51–200 employees. Its products integrate with PACS and EHR systems via HL7 FHIR and are delivered on AWS and Azure infrastructure.
TeraRecon uses C++, CUDA, .NET, ASP.NET Core, Angular, TypeScript, SQL Server, Docker, AWS and Azure, plus AI tools like PyTorch, Hugging Face, LangChain, LangGraph and DeepSpeed, and HL7 FHIR for integration.
TeraRecon's current openings are manager-level sales roles in Australia and Italy, tied to APAC expansion and partner growth in Spain and Portugal.
TeraRecon is headquartered in Durham, North Carolina, United States, and is a privately held ConcertAI company founded in 1997.
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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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