Yuna Health Tech Stack

AI-powered mental health platform with enterprise integration

Mental Health Care San Francisco 11–50 employees Privately Held

Yuna is building a conversational AI system for mental health support with a heavy ML/LLM stack (Python, PyTorch, JAX, TensorFlow, LangGraph) paired with enterprise infrastructure (Kubernetes, gRPC, WebRTC via LiveKit). The project list reveals a company mid-pivot toward B2B2C: they're shipping core conversational intelligence and self-harm detection safety layers while simultaneously investing in HRIS integrations, SSO, and eligibility file pipelines—signals of enterprise customer scaling beyond direct-to-consumer delivery.

Tech Stack 22 technologies

Core StackPython Go Node.js Kubernetes PyTorch TensorFlow gRPC Retool Zapier n8n Amplitude LangGraph JAX REST WebRTC LiveKit LangSmith SQL

AdoptingRetool Zapier n8n

What Yuna Health Is Building

◆Challenges

Streamlining onboarding
Waiting times for therapists up to 48 days
Improving onboarding reliability
Gaps in mental health care accessibility
Affordability of mental health care
Speeding up enterprise onboarding
Reducing manual onboarding work
Improving integration reliability
Replacing existing architecture
Building scalable data flows

▲Active Projects

Implementing integrations with hris and identity providers
Implementing sso and directory sync
Evaluation flywheel for conversational quality
Developing eligibility file pipelines
Core conversational intelligence platform
Self-harm detection safety layers
Conversation state and memory services
Building internal tooling for onboarding
Developing scalable data flows and security workflows
Monitoring and alerting for integrations

Hiring Activity

Decelerating7 roles · 1 in 30d

Department

Engineering

Sales

Seniority

Mid

Senior

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About Yuna Health

Yuna operates a conversational AI platform designed to reduce barriers to mental health care access. The platform delivers 24/7 support through text-based interactions and integrates with enterprise systems (HRIS, identity providers, SSO). Core technical focus spans conversational quality evaluation, safety systems (self-harm detection), and scalable data pipelines. The company is headquartered in San Francisco and employs 11–50 people, with engineering and sales teams distributed across the United States, Ukraine, Mexico, Argentina, and Brazil. Active challenges include enterprise onboarding speed and reliability, architecture modernization, and data flow scalability.

HeadquartersSan Francisco

Company Size11–50 employees

Hiring MarketsUkraine, Mexico, Argentina, Brazil, United States

Frequently Asked Questions

What tech stack does Yuna Health use?

Yuna's stack spans Python, Go, Node.js, LangGraph, Kubernetes, PyTorch, JAX, and TensorFlow for ML/conversational work, with gRPC and WebRTC (LiveKit) for real-time communication. Retool, Zapier, and n8n handle integrations and automation.

What is Yuna Health building?

A core platform for conversational mental health support with embedded safety systems (self-harm detection), plus enterprise connectors: HRIS integrations, SSO, directory sync, and eligibility file pipelines. Current focus is improving onboarding reliability and scaling data flows.