Case Study: Slingshot AI accelerates mental health model training with Together AI fine-tuning

Slingshot AI speeds mental health model training 3x with Together AI

Slingshot AI, an AI-native startup building a foundation model for psychology, needed infrastructure to support rapid fine-tuning of their mental health models. They required a solution that could handle frequent training iterations to quickly incorporate clinical feedback, which standard ML platforms could not provide. They partnered with Together AI to use its fine-tuning platform.

Together AI's solution provided a programmatic API for reliable, long-context supervised fine-tuning and Direct Preference Optimization. This eliminated infrastructure management overhead and enabled 3x more frequent training cycles. The results included a 5x lower cost compared to closed-source alternatives and the ability to scale their service to support over 50,000 users.

Slingshot AI