Long therapy logs caused training failures. A new pipeline handles extended context, enabling 3-7x more weekly model updates.
A mental health AI company developing the first foundation model for psychology using the industry's largest dataset of therapeutic interactions.
Therapeutic models require frequent updates, but standard platforms failed due to context length constraints when processing long conversation...
“The technical challenge was running our multi-stage pipeline reliably at the conversation lengths our therapy models require. Together's platform eliminated the context length constraints and job failures we hit elsewhere, letting us experiment rapidly.”
Foundation model for psychology and personalized mental health support.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
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