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3x

“Partnering with Together AI, the team achieved 3x more frequent training iterations”

As published on together.ai. Checked by usedby on Oct 9, 2026.

What happened

Slingshot AI uses Together AI's fine-tuning platform to run a multi-stage pipeline of supervised fine-tuning and Direct Preference Optimization on open foundation models for its psychology-focused models. This lets the team incorporate clinical feedback quickly without managing GPU infrastructure.

Summary written by usedby from the source page, in English. The figures are those of Together AI and Slingshot AI, not ours.

  • 50,000+“Partnering with Together AI, the team achieved 3x more frequent training iterations, enabling rapid incorporation of clinical feedback and scaling to 50,000+ users receiving mental health support.”

Training 3-7 times per week (vs. weekly previously) enables rapid incorporation of clinical feedback.

From the page. together.ai

For us, it's all about speed. We're continuously shipping new models, deploying them, seeing what happens. The faster the pace of iteration, the better we think our models will get over time.

Daniel Cahn, Co-founder & CEO, Slingshot AI. Source

What the story claims, and what we checked

What we compared with the page.

  • The figure: 3xCheckedPrinted word for word on the page, near the name of Slingshot AI.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Slingshot AI.
  • Slingshot AI uses Together AICheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

Slingshot AI uses Nebius AI CloudAnother tool at Slingshot AIthree months“We compressed what would previously take two years into just three months at Savista because we had Jasper.”Savista uses Jasper. Same industry: HealthTech & Digital Health65%“Curology has significantly reduced customer support operation costs by 65%”Curology uses Decagon. Same industry: HealthTech & Digital Health