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Iterate faster, together

Unlock collaborative features and enterprise-grade support, made for fast-moving product teams

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Train Together

Improve your machine learning models together as a team by labelling training data in an intuitive visual interface.

Closing The Loop

Learn directly from user interactions, label them and retrain your model. Training data is automatically synchronised between the training interface and your backend.

Model Analytics

You wouldn’t ship code without testing, why should machine learning be any different? Dive deep into the performance of every model you train.

Production Container Deployment

Run the Rasa Stack and Platform on-premise or in your private cloud with ready-to-deploy container orchestration.

Case Study

HIPAA compliant natural language understanding for a digital health assistant, allowing users to get their top health questions resolved while their data is secure

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Situation

Tia, a San Francisco-based healthcare startup, allows its users to answer health questions via natural language. The conversation happens within their own app, which has been downloaded thousands of times.


Challenge

Being in the healthcare space, HIPAA compliance is very important. For this reason, Tia would have had to build their own natural language understanding AI. However, developing this from scratch takes months and requires specific AI and Machine Learning talent.


Solution

Tia decided to build their conversational natural language understanding on the Rasa Stack, which is actively used by thousands of developers worldwide. Extending this with the Rasa Platform for faster NLU training, Tia was able to set up in a few days what would have taken months. Adding more training data from real users makes the system more robust over time and increases the quality.


Next Step

Extension to a wider audience and the implementation of more skills to support even more requests.

A demo of the Rasa integration

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