Ship AI software with confidence
GrowthBook high velocity experimentation, feature flag controls, and product analytics help development teams get AI innovations to market faster.
Trusted by 3,000+ companies worldwide
Ready to scale and customize for AI
Trusted by leading AI companies for modern product development, GrowthBook helps teams iterate with confidence and control AI rollouts.
Reduce risk with control and kill switches
Automatically wrap any block of code with a GrowthBook feature flag and you have instant kill switches, progressive rollouts, and targeted releases. Roll out to 1% of users, monitor metrics, and scale up with confidence.
Evaluate AI models, agents, and prompts
Run controlled experiments with GrowthBook to iterate quickly on prompts and agents. Optimize for performance, latency, cost, and user satisfaction based on real user outcomes. Use the metrics that matter most to your product.
Measure everything over time
Only 20% of product changes have a positive impact on core business metrics. Small changes can have an outsized impact. Optimize the user experience and revenue, using success rate, engagement, repeat usage, or custom metrics. Experiment on everything and track cumulative impact with insights.
Get started in minutes
Get up and running in minutes with feature flags, A/B testing, and product analytics. Start using GrowthBook for free with a managed warehouse. No pipelines required, no infrastructure decisions. See the SQL behind any calculation and verify every result.
Enterprise-grade security and controls
GrowthBook fits your risk profile and compliance requirements without slowing you down or complicating your setup.
Create a culture of experimentation
For Dev Teams
Ship faster with confidence, rollback instantly.
For Data Teams
Powerful stats, full control, trusted results.
For Product Teams
Run 5x more experiments, prove impact faster.
GrowthBook open-source platform
GrowthBook’s modular design works on top of what you have, or replaces what’s not working.
Integrates with your tech stack. Analyze your data where it lives. SQL visibility.
Same product, same features. On cloud or fully self-hosted.
No migration required. No changing tools. We work with your tech stack.
Manage flags, run experiments, and query product analytics from Claude Code, Cursor, VS Code, and any MCP client.
“GrowthBook gave us a modern experimentation and release platform that actually fits how Dropbox works. We can run analytics directly on our data lake, roll features out safely in stages, and support teams across different stacks without duplicating data or tooling.”
“Being able to turn a feature on and off with a flip of a switch is fantastic... That’s so much easier than having to do a deploy or a roll-back.”
“People only see the wins, but there’s actually greater value in avoiding losses. We’ve stopped changes that could have cost millions.”
“GrowthBook has changed the way we think about experiments... It allowed us to uplevel our code, speed up decision-making, and focus on what we do best.”
“Experimentation showed what customers actually do rather than what we assume they’ll do.”
“We don’t need any code changes, we don’t need an app release. We just configure the new tests and launch right away.”
"We are always experimenting now. It’s a natural part of product development. This is due to GrowthBook and the ease of usage both in the UX and in the seamless integration with Snowflake/DWH."
"GrowthBook's results speak for themselves. Every time we do a test, we see benefits for our audiences and our partners. These posters are our one shot, and we wouldn't want to fly blind."
“GrowthBook lets us build experiments exactly how we want. The ability to target based on culture and geography, as granular as needed, is a major win for us.”
"GrowthBook's results speak for themselves. Every time we do a test, we see benefits for our audiences and our partners. These posters are our one shot, and we wouldn't want to fly blind."
"We are always experimenting now. It’s a natural part of product development. This is due to GrowthBook and the ease of usage both in the UX and in the seamless integration with Snowflake/DWH."
“GrowthBook gave us a modern experimentation and release platform that actually fits how Dropbox works. We can run analytics directly on our data lake, roll features out safely in stages, and support teams across different stacks without duplicating data or tooling.”
FAQs
AI features are harder to release safely than traditional features because the outputs are non-deterministic. The same prompt can produce wildly different results across user types, edge cases, and traffic volumes. You can't fully validate that in staging. The safest approach is to treat your release as an ongoing experiment, not a single deployment event. Use feature flags to rollback, if needed.
AI outputs don’t produce clean success/fail signals. “Did the AI response help the user?” can’t be measured like a button click. Start by defining metrics based on behavior: task completion, output acceptance, engagement depth. AI output quality gets noisy with high variance across users, sessions, and input types. Sequential testing (check results without inflating false positive rates) and CUPED variance reduction (using pre-experiment data to reduce noise) can help you make decisions more quickly.
Yes. Run controlled experiments comparing GPT, Claude, Gemini, or other models. Measure user satisfaction, latency, cost, and any custom metrics that matter to your product.
Yes. The GrowthBook MCP server connects to Cursor, VS Code, Claude, or any MCP-compatible tool. Create feature flags and experiments in natural language, query past results, and build agents with your experimentation data as context. All without leaving your editor.
Yes. 3 of the 5 leading AI infrastructure companies use GrowthBook for their experimentation. Khan Academy, Upstart, and other AI-forward companies use GrowthBook for model comparison and feature experimentation. GrowthBook is an open-source platform with 7,000+ GitHub stars, and is SOC 2 certified.
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