EHR and practice management for mental health and rehabilitation therapy
Ensora Health operates a dual-product EHR platform (TheraNest for mental health, Fusion for physical/occupational/speech therapy) serving 200,000+ providers across 28,000 practices. The tech stack spans AWS, Azure, Python, FastAPI, and a notably deep AI layer (PyTorch, TensorFlow, LangChain, LlamaIndex, CrewAI, PydanticAI, Llama, Gemini) — suggesting active development of AI-driven features like their advertised AI Session Assistant. Hiring velocity is accelerating with a 6:3 engineering-to-sales ratio, pointing toward product-led expansion of AI capabilities alongside new-logo acquisition efforts.
Ensora Health builds cloud-based EHR and practice management software for mental, behavioral, and rehabilitative therapy practices. The platform reduces administrative overhead through integrated scheduling, note-taking, billing, telehealth, and clinical documentation tools. TheraNest targets individual and group therapy practices; Fusion serves multi-disciplinary rehabilitation clinics, home health, and school-based providers. Revenue streams include core EHR licensing, add-on modules (AI documentation, intelligent scheduling, revenue cycle management, payments processing), and telehealth capabilities. The company operates across the U.S. market with a 201–500-person team headquartered in Birmingham, Alabama.
AWS, Azure, TypeScript, React, Python, FastAPI, PostgreSQL, MySQL, and a comprehensive AI layer including PyTorch, TensorFlow, LangChain, LlamaIndex, CrewAI, and PydanticAI.
Ensora Health supports over 200,000 providers across 28,000 practices, spanning mental health, physical therapy, occupational therapy, and speech-language pathology.
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Ensora Health'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.