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Brief
Flagship

Flagship

Feature Management & Experimentation Platformflagship.io

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 Jun 23, 2026 by the ATDb Editorial Team

Founded
2017
HQ
Paris, Île-de-France, France
Connections
11

At a glance

Employees
51-200
Funding
series-a
11integrations

About

European-based feature flagging and experimentation platform competing in the global feature management market

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.

Business model

SaaS

Target market

Mid-Market, Enterprise

What they offer

  • 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

Tech & specs

Technology stack

JavaScriptReactNode.jsJavaPythonPHPSwiftKotlinC#GoReact NativeFlutter

Security & compliance

GDPRISO 27001SOC 2

Deployment

CloudHybrid

API

Yes

Explore further

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