LaunchDarkly

Feature management and experimentation platform that decouples feature rollout from code deployment. Teams control releases, progressive rollouts, and experiment targeting in production without redeploys, with flag changes propagating in under 200ms.

Trusted by enterprises such as Paramount, Dior, Bayer, HP, and CCP Games for production workloads. LaunchDarkly differentiates with a runtime control platform that extends beyond feature flags into AI config management, built-in experimentation, and observability. 25+ native SDKs, 80+ integrations, and MCP, IDE, and CLI support fit into existing developer workflows.

Key features:

• Feature flag lifecycle management with progressive rollouts and automated rollback
• Targeting and segmentation for user and context-based flag evaluation
• Warehouse-native experimentation with statistically rigorous analysis
• Relay proxy for high-throughput, low-latency flag delivery in enterprise environments
• AI Configs for runtime control of prompts, models, and agent behavior

Engineering teams use it for safe continuous delivery, kill switches to disable features in production instantly, and A/B or multivariate experiments to validate changes. Product and data teams run self-serve experimentation without requiring data science involvement. AI and agent builders toggle models, prompts, and routing logic at runtime.