Argmin AI
Reduce AI agent costs by 10x while keeping quality stable
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About Argmin AI
Argmin AI is a system level LLM cost optimization platform for teams running LLM powered products, pipelines, agents, and RAG. It helps you reduce inference spend without destabilizing quality by optimizing the whole stack together: 1. prompt and context efficiency (token cleanup, context budgets) 2. model selection and routing policies (right model per request) 3. RAG inefficiencies (retrieval waste, caching opportunities) 4. agent workflow overhead (tool calls, retries, loop control) Quality stays aligned via evals and guardrails (tests, gates, judges), tailored to your quality definition and goals. Start with a cost calculator and an assessment to identify top cost drivers, quick wins, and an estimated savings range. For: CTOs, ML engineers, platform teams, and product teams shipping LLM features in production.
Product Insights
Argmin AI provides cross-stack cost optimization and performance monitoring for organizations deploying LLM features and autonomous agents. The platform integrates prompt efficiency, model routing, and RAG optimization to ensure quality remains consistent through automated evaluations and guardrails.
- Comprehensive stack optimization including prompt token cleanup and context budget management.
- Dynamic model selection and routing policies to match specific request requirements.
- Native support for reducing agent workflow overhead and RAG retrieval redundancies.
- Quality assurance through built-in evaluators, testing gates, and automated judges.
Ideal for: Developers and startups seeking to scale LLM production pipelines and autonomous agents while maintaining strict control over inference spend and output quality.
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Hey everyone! If you shipped an LLM demo and it is now becoming a real feature, this is the moment to check cost before it scales with users and stops being budget safe. And our platform can fix this.