Case Study: Tia achieves HIPAA-compliant, on-prem NLU for women’s health in days with Rasa

Incorporate HIPAA-compliant natural language understanding for better women’s health

Tia, a San Francisco–based women’s health startup whose conversational app has been downloaded thousands of times, needed HIPAA-compliant natural language understanding to power its patient-facing assistant. Building an NLU from scratch would have taken months and specialized AI/ML expertise, so Tia turned to Rasa, adopting Rasa’s on‑prem NLU and Rasa X to meet compliance and speed requirements.

Using Rasa’s NLU and Rasa X, Tia built, trained and deployed an on‑prem, HIPAA‑ compliant conversational system in just a few days without a research team. Rasa X’s intuitive UI let non‑Python product managers label training data for rapid iteration; the system now continuously learns from real user interactions, improving accuracy and letting Tia focus on UX—delivering faster time‑to‑market and an app already downloaded thousands of times.

Tia