Split.io

Subsidiary

Split.io enables engineering and product teams to safely release features, run experiments at scale, and measure the impact of every feature on business metrics, reducing deployment risk while accelerating innovation.

Redwood City, California, United StatesFounded 2015

Last updated Mar 7, 2026 by AI Enrichment

Industry: Developer Tools / Feature Management
Business Model: SaaS
Target Market: Enterprise and Mid-Market
Employee Count: 51-200
Funding: $64M
Parent Company: Harness
API Available: Yes

Data & Analytics Marketing Technology

Market Position

Leading feature experimentation and feature flagging platform, now part of Harness's software delivery suite

Overview

Split.io is a feature delivery platform that combines feature flagging with experimentation capabilities to help software teams manage feature releases and measure their impact. The platform enables engineering and product teams to decouple code deployments from feature releases, conduct A/B tests and multivariate experiments, and make data-driven decisions about product development. Split.io serves as a critical infrastructure layer for continuous delivery and experimentation, allowing companies to progressively roll out features, target specific user segments, and quickly roll back problematic releases without redeploying code. Founded in 2015, Split.io gained significant traction among enterprise technology companies and became a leader in the feature management space. The company was acquired by Harness in 2021, and now operates as part of Harness's software delivery platform while maintaining its distinct brand and product identity. Split.io continues to serve thousands of organizations across various industries, from startups to Fortune 500 companies, helping them accelerate innovation while reducing deployment risk. While Split.io is not a traditional AdTech company, its feature experimentation capabilities are utilized by AdTech platforms and digital marketing teams to test and optimize advertising features, user experiences, and monetization strategies. The platform's ability to run controlled experiments and measure business metrics makes it valuable for companies optimizing digital experiences and revenue-generating features.

Products & Features

Feature Flags

Dynamic feature toggles that enable teams to turn features on/off without code deployments, supporting progressive rollouts and targeted releases

Feature Experimentation

Built-in A/B testing and multivariate experimentation capabilities with statistical analysis and impact measurement

Feature Impact Analysis

Real-time monitoring and analytics that connect feature releases to business metrics and engineering performance indicators

Split Debugger

Real-time debugging tool that shows which features are enabled for specific users and helps troubleshoot feature flag configurations

Key Features

Progressive feature rollouts with percentage-based targetingReal-time feature flag management and instant rollbackBuilt-in experimentation engine with statistical significance testingAttribute-based targeting and user segmentationIntegration with observability and analytics toolsImpression listener for custom data pipelinesMulti-environment supportRole-based access control and audit logs

Use Cases

Progressive feature rollouts and canary releasesA/B testing product features and user experiencesTrunk-based development and continuous deliveryKill switches for instant feature disablementOperational toggles for system behavior controlPersonalization and targeted feature deliveryTesting advertising features and monetization strategiesMobile app feature management across app versions

Customer Segments

Enterprise software companiesSaaS platformsE-commerce and retailFinancial services and fintechMedia and entertainmentAdTech and MarTech platformsGaming companiesMobile app developers