AI-centric EHR and practice management for rehab therapy providers
Raintree Systems builds EHR, billing and practice management software for large physical, occupational and pediatric therapy organizations. The stack tells a modernization story: legacy Delphi and Subversion sit alongside Go, TypeScript, Kubernetes and AWS CDK, while job posts cite decomposing a monolith into cloud-native microservices. LangChain, LlamaIndex and Semantic Kernel back a real-time agentic voice AI build, and current hiring is heavily weighted toward junior support roles.
Raintree Systems, founded in 1983 and headquartered in Chandler, Arizona, provides an ONC-certified EHR and practice management platform for rehabilitation therapy. Its customers are enterprise and large provider organizations in physical therapy, occupational therapy, pediatric therapy and ABA. The product suite covers clinical documentation, AI scribe tools, patient engagement and communications, revenue cycle management and business intelligence. The privately held company has 201–500 employees, operates with a remote-first culture, and hires in the United States.
Raintree runs on AWS, Kubernetes, Docker and PostgreSQL, with Go, Python, TypeScript, Java and Delphi in its code. Its front ends use React, Vue and Next.js, and its AI work uses LangChain, LlamaIndex and Semantic Kernel.
Yes. Hiring is accelerating and is concentrated in the United States. Most open roles are junior support positions, with smaller openings in engineering, data, marketing, sales and professional services.
Job posts point to a real-time agentic voice AI platform, AI-native system development and the IQ platform architecture. They also mention platform modernization, a data architecture roadmap and deeper integration with clinical workflows.
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Raintree Systems'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.