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Qualified Health Tech Stack
Healthcare AI platform with clinical safeguards and governance
Qualified Health builds AI infrastructure purpose-built for health systems, not generic LLM wrappers. The stack—Python, TypeScript, Java, Go, Rust across AWS, GCP, Azure—reflects both breadth and depth; they're actively adopting Terraform, Azure Data Lake Storage, and Delta Sharing, signaling a shift toward infrastructure-as-code and data mesh patterns for compliance-heavy deployments. Hiring velocity is accelerating across engineering, data, and product, with open director and VP-level roles, indicating they're scaling beyond initial customer wins into a repeatable enterprise motion.
Tech Stack 46 technologies
Core StackPython TypeScript Java Go Rust AWS Terraform Docker Kubernetes TensorFlow PyTorch React Angular Vue Figma Sketch Adobe Illustrator InVision Databricks Unity Catalog Greenhouse Canva GCP Azure Photoshop ChatGPT Claude NAT Gateway Azure Key Vault LinkedIn+11 more
What Qualified Health Is Building
◆Challenges
- Ai governance
- Care gaps closure
- Specialty pharma coordination
- Infusion management
- Regulatory compliance in healthcare
- Or scheduling
- Capacity optimization
- Referral management
- Scaling cloud infrastructure for ai solutions
- Ensuring isolation and compliance
▲Active Projects
- Ai assistant development for hospital system clients
- Gen ai for healthcare saas platform
- Genai-powered or scheduling workflow
- User training webinars for existing product deployments
- Specialty pharma coordination workflow
- Infusion management workflow
- Custom ai assistant solutions for healthcare clients
- Genai-powered solutions for health systems
- Real-time algorithm monitoring
- Care gaps closure workflow
Hiring Activity
20 roles · 10 in 30d
Department
Seniority
Notable leadership hires: Product Lead
Company intelligence
