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.
Related implementations across industries and use cases
$98/hr training costs blocked custom AI. Moving to bare-metal GPUs cut costs 7x, enabling models that slashed chart review times by 80%.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
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.
Related implementations across industries and use cases
$98/hr training costs blocked custom AI. Moving to bare-metal GPUs cut costs 7x, enabling models that slashed chart review times by 80%.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.