Cómo usa Latent Health Together AI
7x
“7x cost reduction”
Tal como se publicó en together.ai. Verificado por usedby el 9 oct 2026.
Qué pasó
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.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Together AI y de Latent Health, no nuestras.
- 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.
Lo que dice la historia, y lo que verificamos
Lo que comparamos con la página.
- La cifra: 7xVerificadoImpresa palabra por palabra en la página, cerca del nombre de Latent Health.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Latent Health.
- Latent Health usa Together AIVerificadoLínea de nivel Confirmado.
- El resultado en síNo verificadoLo citamos; no lo medimos.
Más historias
Misma empresa, misma herramienta o mismo sector.
