Behavioral health management platform for health systems and payers
LunaJoy operates a clinical-integration platform that absorbs screening, triage, and treatment workflows for behavioral health—positioning itself as an operational extension rather than a referral network. The tech stack (Python, Go, Node.js, TensorFlow, PyTorch, Airflow, Spark, BigQuery, Snowflake, React) reflects a data-science and ML-heavy architecture; adoption of OpenAI and Hugging Face signals active development of AI-powered personalization features. Hiring velocity is accelerating across ops, product, and sales—notably with leadership gaps in marketing and operations—while pain points cluster around patient acquisition, referral volume, and AI integration, revealing an org scaling clinical delivery faster than go-to-market.
Notable leadership hires: Marketing Lead, Head of Operations
LunaJoy provides managed behavioral health services to health systems, ACOs, health plans, and provider groups. The platform integrates into existing EHR workflows (Epic, Athena) to surface behavioral health data, reduce post-discharge readmissions, close HEDIS gaps, and enable providers to bill behavioral health codes without additional hiring. The company operates across maternal health, menopause, and geriatrics specializations. Founded in 2021 and based in Tampa, Florida, LunaJoy currently employs 51–200 staff and is expanding operations across Latin America (Dominican Republic, Brazil, Chile, Peru, and eight other countries), alongside U.S. domestic hiring.
Python, Go, Node.js, Java, TensorFlow, PyTorch, scikit-learn, AWS, GCP, Azure, Apache Airflow, Spark, BigQuery, Snowflake, React, and TypeScript. Testing tools include Selenium, Cypress, Playwright, Postman, JMeter, and TestRail.
Yes. LunaJoy is actively adopting OpenAI and Hugging Face, with AI-powered personalization features and AI-capability integration listed as core projects and pain-point areas.
LunaJoy 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.