Eleos Health Tech Stack
AI platform automating care operations for community-based behavioral health providers
Eleos Health built a care-operations platform using React, Python, Django, and Kafka to automate administrative work in behavioral health settings. The tech stack reveals heavy investment in data infrastructure (Kafka, Apache Airflow, PostgreSQL, MongoDB) paired with multi-cloud deployment (AWS, GCP, Azure), suggesting real-time data processing at scale. Current projects span AI security defenses, scalable ML data pipelines, and conversation analysis—indicating a shift toward AI-driven clinical insights, while pain points around LLM deployment and documentation reduction signal the company is actively operationalizing large language models into its product.
Tech Stack 51 technologies
What Eleos Health Is Building
◆Challenges
- Data security compliance
- Ai security threats
- Multi-cloud security
- Reducing documentation work
- Digitizing behavioral health conversations
- R&d alignment gaps
- Communication gaps between r&d and gtm
- Ambiguous operating processes
- Scaling audio processing infrastructure
- Deploying llms to production
▲Active Projects
- Security architecture for new initiatives
- Event engagement
- Prospecting
- Pipeline generation
- Ai security defenses for llm and ml systems
- Scalable data pipelines for ml/ai product enablement
- Monitor and improve uptime and observability of data infrastructure
- Build systems for data quality and usability across organization
- Behavioral health careops automation solution
- Analysis of patient-therapist conversations