Validation
Tested in practice
87%
Cost Reduction
$1180 per 1M responses
instead of $9380
Internal Case Study: Mental Health Conversational AI
Main challenge: Keep quality estimated and data-driven
Results
- Cost reduction — 87%
- Quality preserved — only 3.3% degradation
- Clinical safety maintained — 97.6%
- 9-judge LLM-as-a-Judge validation
- 400-item edge-case stress test
Learn a reusable decision framework, metrics, and rollout steps from our Data-Driven LLM Optimization Case Study
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Research Foundation
The platform helps you find techniques that fit your case perfectly.*
*Selected public research references we build on, with credit to the original authors. Not Argmin AI research and not a complete list.
One platform to solve optimization challenges:
reduce LLM costs, protect quality and replace months of research with clear savings validation


Free Audit
Before optimization, we conduct a free review of your use case to identify bottlenecks and savings opportunities
Always-On Quality Control
The platform continuously tracks quality with evaluation methods suited to your case, including classifiers, hard gates, LLM judges, and more


Combined Optimization, Tailored to Your Case
Argmin AI improves LLM efficiency and production reliability by optimizing the full inference pipeline and providing several optimized options
Use cases
Where Argmin AI Delivers Value*
*Individual outcomes may vary. See our Terms of Service for details.
Key benefits & features
Spend Less at Scale
10x inference cost reduction for many real-world tasks
Plug In Quickly
Fast integration into existing LLM and agent pipelines
Works Across Providers
Model-agnostic: works with proprietary and open-source LLMs
Security & Risk-Free Start
NDA coverage, a phased engagement, and a free initial analysis to validate bottlenecks and savings potential
No retraining / No vendor lock-in / No risky rewrites