Runtime control for the teams running with AI.

LaunchDarkly helps teams spanning industries de-risk AI releases and enable systems that can heal and optimize themselves.

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By use case

Control AI agents

AI agents require governance and control. Learn how AgentControl helps monitor AI agents in production and correct issues without redeploying.

Optimize AI performance

AI performance and cost needs continuous optimization. See how AgentControl compares models and measures performance of AI agents.

Release AI built code

AI ships code faster than teams can validate it. Release confidently, detect issues instantly, and automatically fix problems in production—no redeploys, no fire drills.

Run experiments

Test in production with faster loops. Use AI to generate endless variations, measure what works in production, and continuously improve outcomes.

Self-heal systems

Self-healing systems allows AI agents and code to be fixed in production without reploying. Learn how LaunchDarkly enables real-time issue remediation.

Enterprise prompt management

Enterprise prompt management without redeploys: version, govern, and A/B test prompts across OpenAI, Anthropic, and Bedrock.

By team

AI engineers

Catch agent drift before customers do. One platform to configure, benchmark, release, observe, and automatically improve agents in production.

Data scientists

Built for teams that treat experimentation as infrastructure, not a side process—with the statistical methods, metric governance, and scale.

Development teams

Increase deployment velocity and software reliability with feature management, runtime control, and automatic remediation.

DevOps & SRE teams

LaunchDarkly helps DevOps and SRE teams safely manage releases, reduce production risk, automate rollback, and control software and AI systems.

Product managers

LaunchDarkly helps product teams release features safely, experiment in production, measure impact, and control software and AI experiences in real time.