Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
A seed-stage healthcare automation company builds end-to-end workflows for mid-sized providers, processing Explanation of Benefits documents that vary wildly from high-level summaries to itemized lists.
Managing self-hosted GPU infrastructure limited the engineering team to just one or two training runs per week, preventing them from adapting models...
“Together AI does for fine-tuning and inference what Vercel does for LLM-based apps—it removes the infrastructure layer so we can focus on our product. We fine‑tune and deploy customer‑specific models through simple API calls. That lets our existing team move from weekly to daily iteration, cut costs by 2–3×, and improve accuracy from 77% to 87%.”
Agentic AI platform for healthcare workflow and administrative automation.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
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