How Latent Health uses Together AI
7x
“7x cost reduction”
As published on together.ai. Checked by usedby on Oct 9, 2026.
What happened
Latent Health uses Together AI's Instant GPU Clusters (bare-metal H100s with SSH access) to train clinical question-answering models on de-identified clinical data, including multi-node reinforcement learning and evolutionary algorithm workflows. The resulting models power a platform that analyzes patient charts for pharmacists' medication approval reviews.
Summary written by usedby from the source page, in English. The figures are those of Together AI and Latent Health, not ours.
- 2-3x“2-3x faster experimentation”
- 80%“MetroHealth achieved an 80% reduction in review time (down from 25 minutes to just 5 minutes per prior authorization) alongside a 45% increase in submission capacity.”
- 75%“Ochsner Health saw 75% faster review times and 96% increase in monthly throughput per pharmacist, impacting over 20,000 specialty patients.”
Together AI's infrastructure enabled Latent Health to achieve breakthrough clinical AI performance while maintaining cost efficiency:
Together Instant Clusters enabled us to build the intelligence backbone that's core to our business. Our partners will accept nothing less than state of the art so it is critical that we distill clinical nuance and the latest compendia into our models. Together AI's infrastructure gives us both the performance and experimentation freedom to make that happen.
What the story claims, and what we checked
What we compared with the page.
- The figure: 7xCheckedPrinted word for word on the page, near the name of Latent Health.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Latent Health.
- Latent Health uses Together AICheckedConfirmed line.
- The result itselfNot checkedWe quote it; we did not measure it.
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