Clinical AI platform automating pharmacy authorization workflows
Latent builds AI-driven authorization and compliance software for health systems, focusing on prior auth processing, 340B compliance, and appeals. The stack reflects a production-grade clinical AI operation: PyTorch + Hugging Face + LangChain for model inference, PostgreSQL + Kafka + Temporal for reliable workflow orchestration, and deep EHR integration (Epic, Cerner, Meditech). The hiring mix is notably balanced across engineering and sales (6 each) with 10 senior-level roles—typical of a Series A clinical software company bridging AI R&D and health-system go-to-market.
Latent is a YC W23–backed clinical AI company serving health system pharmacies and administrative teams. The platform automates prior authorization, compliance reporting, and appeals processing through language models and workflow automation, reducing manual overhead on pharmacy staff while accelerating patient access to therapy. The product integrates directly with major EHR systems (Epic, Cerner, Meditech) and uses operational tools (Zapier, Make, n8n, Retool) for rapid deployment of clinical workflows. Founded in 2022, the company operates from San Francisco with 11–50 employees, currently scaling engineering and sales capacity.
Core: React, TypeScript, Node.js, Python, PostgreSQL, Redis. ML: PyTorch, Hugging Face, LangChain. Orchestration: Kafka, Temporal, Kubernetes. Infrastructure: Terraform, Helm. EHR integrations: Epic Systems, Cerner, Meditech. Automation tools: Zapier, Make, n8n, Retool.
Core projects include EHR integration, AI model integration, frontend architecture, data pipelines for clinical data, deployment pipeline optimization, and full-cycle implementation projects for health systems.
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