Feature Flags & Experimentation brand directory

Statsig is an integrated product development platform combining feature flag management, A/B and multivariate experimentation, product analytics, session replay, web and infrastructure analytics, and no-code marketing experiments. All products share a single data layer and can be deployed cloud-hosted or warehouse-native. The platform is built for engineering, data science, product, and DevOps teams that want to link every code release to measurable product outcomes.

LaunchDarkly is a runtime control platform for feature flags, guarded releases, experimentation, and AI configuration. It enables software teams to decouple feature releases from code deployments, progressively roll out features with real-time monitoring and automated rollback, run A/B and multivariate experiments, and manage AI prompts and models in production without redeployment—all from a single platform with enterprise-grade governance and 35+ language SDKs.

Flagsmith is an open-source feature flag and remote configuration platform that lets development teams ship code continuously while controlling which users or segments see which features, without requiring a new deployment. It combines Boolean feature toggles, multivariate flags, remote config, user segmentation, and A/B testing in a single tool available as SaaS, private cloud, or fully self-hosted.

Unleash is an open-source enterprise feature management platform that gives engineering teams real-time control over software releases through feature flags, enabling gradual rollouts, A/B experimentation, instant kill switches, and autonomous lifecycle management — all with no user data leaving the customer's infrastructure.

GrowthBook is a warehouse-native, open-source feature flagging and experimentation platform. It enables engineering, product, and data teams to safely release features via targeted rollouts, run rigorous A/B tests using metrics stored in their own data warehouse, and analyze user behavior—all within a single platform that can be deployed on GrowthBook Cloud or fully self-hosted.

ConfigCat is a hosted feature flag and remote configuration management platform that lets engineering teams toggle features on or off—and target specific user segments—without redeploying code. It provides open-source SDKs for 20+ languages and frameworks, a management dashboard, a public REST API, and integrations with CI/CD, analytics, and project management tools. Flags are evaluated client-side for privacy and performance. The platform supports SaaS delivery via a global CDN as well as self-hosted and dedicated private cloud deployments.

Kameleoon is a unified experimentation and feature management platform that combines client-side A/B testing, server-side feature flags, and AI personalization in one interface. Its headline 2025 innovation is Prompt-Based Experimentation (PBX), an agentic AI that lets users describe desired website changes in natural language and automatically generates, targets, and deploys live A/B test variants—no code or visual editor required. The platform's statistical engine supports multiple methodologies, delivers real-time results, and automatically detects data quality issues such as Sample Ratio Mismatch. Feature management capabilities include progressive delivery, real-time streaming flag updates, KPI-based automatic rollback, approval workflows, and technical debt management. The platform is designed for cross-functional adoption, serving marketing, product management, engineering, and data science teams from a single shared workspace.

Harness Feature Management & Experimentation (FME), built on the acquired Split.io platform, is an enterprise-grade feature flag and experimentation system embedded within the Harness AI DevOps platform. It enables software teams to decouple code deployment from feature release, run controlled A/B and multivariate experiments with a built-in statistical engine, and monitor each gradual rollout for performance regressions—all from a single tool integrated natively into CI/CD workflows and supported by an AI agent for result interpretation.

DevCycle is a feature flag management and experimentation SaaS platform built on OpenFeature open standards. It enables engineering teams to safely release, test, and roll back features using edge-delivered flags, gradual rollouts, A/B experiments, and AI-assisted management—without vendor lock-in. Now operating as part of Dynatrace following a January 2026 acquisition.

Eppo is an enterprise-grade, warehouse-native feature flagging and experimentation platform that enables self-serve A/B testing, feature management, AI personalization, and marketing incrementality measurement. It connects directly to a company's existing data warehouse and statistical methodology stack, eliminating the need for separate data pipelines, and serves data scientists, engineers, product managers, and marketers from a single unified platform.

Optimizely Feature Experimentation is a server-side and client-side feature flag and experimentation platform providing SDKs in 10+ programming languages, low-latency in-memory bucketing, a built-in statistical engine with CUPED, multi-armed bandit optimization, AI-assisted experiment design via Opal, and progressive rollout controls with kill switches and approval workflows. It sits within the broader Optimizely One DXP, which also includes Web Experimentation, Personalization, CMS, CMP, Digital Asset Management, Configured Commerce, and Warehouse-Native Analytics.

VWO (Visual Website Optimizer) by Wingify is a full-stack experimentation and digital experience optimization platform. Its core products are VWO Testing (web, mobile, server-side A/B and multivariate testing), VWO Feature Experimentation (feature flags, progressive rollouts, and server-side experiments with SDKs in 10+ languages), VWO Insights (heatmaps, session recordings, form analytics, funnels, surveys), VWO Personalize (segment-level experience personalization), VWO Data360 (built-in CDP for unified visitor profiles), VWO Web Rollouts, and VWO Plan (program management and hypothesis pipeline). VWO Copilot sits across the platform providing AI-driven variation creation, targeting suggestions, and heatmap/recording summarization.