AI voice agent for behavioral health care management automation
Ellipsis Health operates a conversational AI platform designed to automate care management workflows in behavioral health settings. The stack spans Python, Node.js, Java, and Go on AWS/GCP/Azure with PostgreSQL and MongoDB, paired with LLM APIs (OpenAI, Claude, PaLM) and ML frameworks (TensorFlow, PyTorch, Databricks). The engineering-heavy org (13 of 15 hires) combined with active projects around EHR integrations, NLP model deployment, and Health Cloud ISV development suggests the company is building deep healthcare interoperability rather than a standalone consumer app.
Ellipsis Health builds Sage, an AI voice agent that handles care management tasks—intake, symptom screening, follow-up coordination—for behavioral health systems. The product integrates with existing EHR platforms (Salesforce Health Cloud, Mirth) and serves health systems, payers, and care delivery organizations. Founded in 2017 and based in San Francisco, the company employs 11–50 people with hiring concentrated in engineering and machine learning. Core infrastructure work centers on conversational AI platform reliability, secure EHR data flows, NLP model performance, and compliance with healthcare data standards. Current hiring has decelerated but maintains senior-level engineering capacity.
Python, Node.js, Java, Go, GraphQL, PostgreSQL, MongoDB, AWS, GCP, Azure, Kubernetes, OpenAI, Claude, PaLM, TensorFlow, PyTorch, Databricks, dbt, and Salesforce Health Cloud with Apex and Lightning Web Components.
Core projects include conversational AI platform infrastructure, secure EHR system integrations, NLP model deployment, care management workflow optimization, and Health Cloud ISV application development for health systems and payers.
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