Toptal deploys secure enterprise LLM platform for leading children’s hospital.

The hospital wanted clinicians and administrative staff to leverage state-of-the-art large language models in their daily workflows but could not expose protected health information (PHI) to external AI providers. At the same time, leadership needed predictable governance over token consumption after observing unsustainable costs in similar enterprise AI deployments. The organization required a secure, scalable LLM platform that balanced usability, privacy, and cost management without sacrificing performance.

Architected and deployed a GPT-based language model within a private Azure cloud environment, enabling secure enterprise AI inference without transmitting sensitive healthcare data to external AI services.

Developed a lightweight FastAPI back end in Python that managed authentication, conversation persistence, token accounting, and API orchestration, providing a scalable foundation for enterprise AI workloads.

Developed a lightweight FastAPI back end in Python that managed authentication, conversation persistence, token accounting, and API orchestration, providing a scalable foundation for enterprise AI workloads.

Built a React and TypeScript front end that replicated the familiar ChatGPT interaction model, accelerating user adoption while integrating securely with the hospital’s private LLM infrastructure.

Implemented a secure, maintainable platform with comprehensive automated testing, clean architecture, and detailed technical documentation to support long-term extensibility, operational reliability, and future AI initiatives.

The engagement delivered a production-ready enterprise LLM platform that enabled hospital staff to securely integrate generative AI into everyday workflows without exposing protected health information to external providers.

By combining private-cloud LLM deployment with role-based governance, token management, and scalable application architecture, Toptal provided administrators with predictable cost controls while giving employees secure access to advanced AI capabilities.