Experimentation · Continuous Experimentation · Enterprise Grade

Experiment at AI scale — in production.

AI generates more variations than teams can validate ahead of time. Test changes in production, measure real-world impact, and optimize continuously — without slowing delivery.

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Create variations. Measure which are best in production.

Automatically generate variations, expose them to real users, and measure what actually works — not just what you expect.

Create and release variations.

Define multiple versions of a feature, model, or experience and roll them out to real users.

Measure in production.

Track performance against real user behavior — not assumptions.

Optimize continuously.

Promote winners and iterate in real time — without redeploying.

Run experiments as fast as you ship changes.

Experimentation shouldn’t be a separate process.

It should happen every time you release.

Build and test in one system.

Run experiments alongside feature delivery — no extra tooling.

Experiment anywhere in your stack.

Test frontend, backend, and AI-driven features in production.

Ship winners instantly.

Promote the best variation in real time, without redeploys.

Test in production for faster loops.

Help ensure every experiment delivers reliable insights by designing and launching rigorous experiments against real users.

Experimentation engine.

Generating variations and testing in prod creates an iterative experimentation, not just evaluation.

Flexible models and types.

Multiple statistical models, A/B tests, funnel optimization, and warehouse native experiments, all tailored to your team’s needs.

Advanced audience targeting.

Set audiences based on any attribute, like geography, user behavior, or device type.

Custom metrics.

Build in LaunchDarkly, import them via API, or leverage your data warehouse.

LaunchDarkly has played a big part in helping us build a culture at Stash, where we experiment with everything. Not only that, it has enabled us to release new features way faster than before. The fact that we can manage software releases and support experimentation in the same platform is remarkable.

Kahne Raja

Engineering Manager, Stash

Don’t guess what works — measure it in production.

See how you can use LaunchDarkly to test changes in production, measure real-world impact, and optimize continuously.

Show me how it works

30-minute demo · No commitment