Advanced tools for AI builders

Whether you're launching an AI product or using AI to write code, Statsig has tools to help you accelerate development and optimize your outputs

Hybrid offline and online evaluations

Store prompts and models as configs, then benchmark outputs against an evaluation dataset as you test your product. When you’re ready, ship to production as an A/B test. By linking evals and online experiments, your team can speed up testing and get to real impact faster

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AI 4

Statsig MCP server

Run growth experiments to boost sign ups, reduce time to value, increase stickiness and long-term retention. Plus, link model or prompt changes to your core growth metrics

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MCP vF

Prompt experiments

Statsig’s AI Prompt Experiments brings A/B testing to prompt engineering, allowing teams to test multiple prompt variants simultaneously. Teams can measure performance metrics and iterate with data-driven confidence rather than guesswork.

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Prompt Experiment

Coming soon: “Chat with your data” meta-analysis tooling

Use an AI assistant to extract insights from your experiments and feature releases. Automatically detect patterns between releases, identify trends, and more

a picture of the meta analysis timeline
OpenAI
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently
Dave Cummings
Engineering Manager
Bluesky
Statsig's powerful product analytics enables us to prioritize growth efforts and make better product choices during our exponential growth with a small team
Rose Wang
Chief Operating Officer
Notion
We've successfully launched over 600 features by deploying them behind Statsig feature flags, enabling us to ship at an impressive pace with confidence
Wendy Jiao
Staff Software Engineer

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