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.
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.
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.
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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