Build contextual AI assistants that can handle back-and-forth, and host them securely on your HIPAA-compliant infrastructure.
AI assistants can support your members throughout the whole lifecycle. Examples of conversational use cases:
Transform your hospital and improve patient and staff experience with AI-powered assistants. Examples of conversational use cases:
Improve the patient experience through AI assistants that make your life easier. Examples of conversational use cases:
Empower your staff with an AI-powered co-worker. Examples of conversational use cases:
Reduce the friction of using your app or content with AI powered assistants. Examples of conversational use cases:
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, meaning Tia would have had to build their own natural language understanding AI. Developing this from scratch takes months and requires specific AI and machine learning expertise.
Tia built their conversational natural language understanding on the Rasa Stack. Tia’s product team consists of engineers, data scientists, product managers and designers, some of whom don’t have Python coding experience. For instance, Rasa Platform’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, the company is able to continuously add new training data and learn from real user interactions, which continually improves accuracy.