Transform healthcare with open source machine learning. HIPAA-compliant.

Rasa provides leading healthcare organizations with open source tools to build AI assistants with privacy built-in

Explore Rasa

Conversations with patients are rarely just one question and one answer.

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:

  • Choose the right health plan
  • Change contract details like address
  • Check the status of claims
  • Answer questions about billing

HIPAA-compliant with full control over data and IP

Keep your customer data secure with HIPAA-compliance, maximum data privacy and security measures.

Advanced NLU and dialogue management

Customize and train language models specifically for healthcare and medical terms. Manage back-and-forth dialogues with machine learning.

Integrate & securely deploy anywhere

Integrate Rasa into existing backend systems and data sources. Deploy Rasa on-premises, or on your private cloud.

Case Study

Automating the onboarding of mental health patients with a privacy-first, HIPAA-BAA compliant AI assistant

The Challenge

Talkspace is a leader in online mental health therapy, connecting therapists with patients using messaging. However, the company was looking to automate repetitive conversations such as the intake process with an AI assistant, as a step to keep costs to a minimum during their high growth phase. Existing cloud-based APIs like Dialogflow or LUIS are unable to meet their high privacy requirements and need for HIPAA-BAA compliant data hosting and processing.

The Solution

Talkspace decided to choose Rasa to build an AI assistant in-house with their product team. All tools are hosted in their HIPAA-compliant, on-premises or cloud servers guaranteeing the highest level of privacy and security for mental health data. In addition, Rasa’s contextual dialogue technology allows the product team to build more natural conversations that go beyond just simple back-and-forth, connecting to existing backend APIs to send and fetch relevant data and enable easy hand-off to a live consultation therapist if needed.

Next Step

Talkspace was able to build an AI assistant for their user onboarding flow within a few months. The assistant allows therapists to spend their time helping existing patients while keeping user acquisition costs low. Talkspace plans to add more skills to its AI assistant in the future based on real user conversations.

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