AI21 Maestro is an enterprise framework that optimizes cost, accuracy and latency of production AI agents.
What it does
Maestro, from AI21 Labs, is an optimization framework for real-world AI agents. It routes, compresses and decomposes requests to cut agent spend while validating results in-flight, with dynamic planning, advanced RAG and cost attribution.
How to use: To use AI21 Maestro, define your requirements, tools, and budget. The system dynamically creates and executes tailored plans, breaking complex tasks into actionable steps, scaling inference-time compute, and validating results against your requirements.
Core features
Agent cost optimization
In-flow result validation
Advanced RAG data extraction
Dynamic planning and orchestration
Cost attribution and budgeting
Best for
→Optimizing production AI agents
→Reducing agent compute spend
→Improving RAG accuracy
→Enterprise workflow automation
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