AI platform automating documentation and operations for behavioral health care
Eleos Health builds AI software that cuts documentation and administrative load for behavioral health, substance use and home-based care providers. The stack pairs LLM tooling (LiteLLM, Langfuse, RAG) with MLOps infrastructure (MLflow, Kubeflow, DVC), pointing to in-house model production rather than thin API wrappers. Current hiring is engineering-heavy, accelerating and centered in Israel, with projects on agentic SDLC workflows and productionizing ML models.
Eleos Health is a Boston-headquartered, privately held company founded in 2020 with 201–500 employees. It sells an AI platform to community-based care organizations, including behavioral health, substance use disorder and care-at-home providers. The product focuses on turning care signals into timely actions and reducing repetitive clinical and administrative work. Engineering runs on Python, TypeScript, React and Angular across AWS, GCP and Azure, while go-to-market and finance teams use Salesforce, HubSpot, Gong, NetSuite and QuickBooks.
Eleos Health uses Python, Django, FastAPI, TypeScript, React and Angular, with PostgreSQL and MongoDB, Kubernetes and Docker on AWS, GCP and Azure, plus LiteLLM, Langfuse, MLflow and Kubeflow for AI work.
Projects include a behavioral health CareOps automation solution, extending its AI platform, agentic workflows for the R&D SDLC, AI agents for daily operations and productionizing machine learning models.
Eleos Health is headquartered in Boston, Massachusetts, and its current hiring is focused in Israel, mostly senior engineering roles alongside data, HR and operations positions.
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Eleos 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 →
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