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Stax
Move your LLM evals from vibes to data
# Research Tool
Featured on : Sep 5. 2025
Featured on : Sep 5. 2025
What is Stax?
Stax is a tool from Google Labs to solve LLM evaluation. Move beyond "vibe testing" by building custom autoraters to measure what matters to you. It's a full toolkit for testing your AI stack with your data, with support for all major model providers.
Problem
Users manually assess LLM performance with subjective methods, leading to unreliable and inconsistent evaluations of AI model outputs.
Solution
A toolkit (Stax) for building custom autoraters to measure LLM performance with data-driven metrics and integrate testing across major model providers.
Customers
AI developers, data scientists, and ML engineers building or fine-tuning LLMs for enterprise applications.
Unique Features
Custom autorater workflows, multi-provider compatibility (OpenAI, Anthropic, etc.), and granular evaluation metrics tailored to specific use cases.
User Comments
Eliminates guesswork in LLM testing
Saves weeks of manual evaluation
Easy integration with existing pipelines
Requires technical expertise to configure
Limited pre-built templates
Traction
Launched via Google Labs (exact user/revenue stats unavailable, but leverages Google’s AI infrastructure and brand reach).
Market Size
The global AI market is projected to reach $1.3 trillion by 2032 (Precedence Research), with LLM evaluation tools addressing a critical subset of this growth.