Flagship
Enables engineering and product teams to safely deploy features, run experiments, and personalize user experiences through feature flags and A/B testing, reducing deployment risk while accelerating innovation.
Last updated Feb 8, 2026
- Industry
- Feature Management & Experimentation Platform
- Business Model
- SaaS
- Target Market
- Mid-Market, Enterprise
- Employee Count
- 51-200
- Funding
- series-a
- API Available
- Yes
Market Position
European-based feature flagging and experimentation platform competing in the global feature management market
Overview
Flagship is a feature management and experimentation platform that enables engineering and product teams to implement continuous delivery and progressive deployment strategies. The platform combines feature flagging, A/B testing, and multivariate experimentation capabilities, allowing organizations to decouple feature releases from code deployments and control feature visibility across different user segments. Founded in France, Flagship serves development teams and product organizations looking to reduce deployment risk, accelerate release cycles, and make data-driven decisions about feature rollouts. While Flagship operates in the broader software development and product optimization space, it intersects with AdTech through its experimentation and personalization capabilities that enable digital experience optimization. The platform competes in the feature management and experimentation market alongside vendors like LaunchDarkly, Split, Optimizely, and AB Tasty, positioning itself as a solution for teams seeking to implement sophisticated testing and rollout strategies with developer-friendly tools and comprehensive SDKs.
Products & Features
Feature Flags
Progressive feature rollout and targeting capabilities to control feature visibility and manage releases independently from deployments
A/B Testing
Experimentation platform for running A/B and multivariate tests to measure feature impact and optimize user experiences
Personalization
User segmentation and targeting capabilities to deliver customized experiences to specific audience groups
Analytics & Reporting
Real-time analytics and reporting tools to measure experiment results and feature performance
Key Features
Feature flag managementA/B and multivariate testingProgressive rollouts and canary releasesUser segmentation and targetingReal-time analyticsMulti-environment supportSDK support for multiple languagesVisual editor for non-technical usersGoal tracking and conversion metricsAudience targeting
Use Cases
Progressive feature rolloutsA/B testing and experimentationCanary releases and blue-green deploymentsUser experience personalizationRisk mitigation for new featuresMobile app feature managementE-commerce optimizationSaaS product experimentationKill switches for emergency feature disabling
Customer Segments
Software development teamsProduct management teamsE-commerce companiesSaaS companiesDigital agenciesEnterprise technology organizationsMobile app developers