Rasa provides leading healthcare organizations with open source tools to build AI assistants with privacy built-inExplore Rasa
Build contextual AI assistants that can handle back-and-forth, and host them securely on your HIPAA-compliant infrastructure.
Keep your customer data secure with HIPAA-compliance, maximum data privacy and security measures.
Customize and train language models specifically for healthcare and medical terms. Manage back-and-forth dialogues with machine learning.
Integrate Rasa into existing backend systems and data sources. Deploy Rasa on-premises, or on your private cloud.
Tia is a San Francisco-based women’s health startup. Their natural language app allows users to ask health questions and has been downloaded thousands of times.
In the healthcare space, HIPAA compliance is crucial. Meeting these requirements could have required Tia to build their own natural language understanding AI. Developing from scratch takes months and requires specific AI and machine learning expertise.
Tia based their app’s natural language understanding on Rasa. Tia’s product team consists of engineers, data scientists, product managers, and designers, some of whom don’t have Python coding experience. Rasa X's intuitive user interface enables product managers to label training data, providing faster iteration cycles and ease-of-use.
Tia’s system was established in just a few days and without a research team. Using Rasa, the company could focus primarily on designing a compelling user experience. Now, Tia is able to continuously add new training data and learn from real user interactions, which continually improves accuracy.
We'll send you premium material from healthcare industry leaders such as HCA and Tia. Learn how healthcare professionals are using conversational AI to build HIPAA-compliant AI assistants with Rasa, solve current challenges in healthcare, and hear our CTO and Co-founder Alan Nichol's thoughts on the next generation of AI assistants in enterprise.