Case Study: Tia achieves HIPAA-compliant natural language understanding in days with Rasa

A Rasa Case Study

Preview of the Tia Case Study

Tia builds HIPAA-compliant natural language understanding in days with Rasa

Tia, a San Francisco-based women's health startup, needed to incorporate HIPAA-compliant natural language understanding into its app. Developing this AI capability from scratch would have taken months and required specialized expertise, posing a significant challenge for the growing company.

By using Rasa, Tia was able to build, train, and deploy its own on-prem, HIPAA-compliant NLU system in just a few days. The Rasa platform's intuitive interface allowed team members without Python experience to contribute by labeling training data. This solution enabled Tia to focus on user experience and achieve faster iteration cycles, with the system continually improving in accuracy by learning from real user interactions.


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