Split Raises $33 Million Series C as Enterprises Accelerate Digital Transformation Amid Rapid Economic Change

Split Raises $33 Million Series C as Enterprises Accelerate Digital Transformation Amid Rapid Economic Change

Split, the leading feature delivery platform, announced $33 million in Series C funding to address the growing global demand for feature flags. The new funding comes as enterprises accelerate digital transformation amid rapid economic change and transition to impact-driven software development.

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“Split’s combination of feature flags, progressive delivery and software experimentation aligns closely with ServiceNow’s Enterprise DevOps vision, which is to scale adoption of DevOps in the enterprise on the promise of rapid and reliable release cadence, quality and business impact”

Led by Comcast Ventures, the round included participation from existing investors Accel, Lightspeed Venture Partners and Harmony Venture Partners. Investors Dick Costolo and Adam Bain of 01 Advisors, Microsoft’s venture fund M12, Atlassian and ServiceNow also participated, bringing the total amount of capital Split has raised to $60 million.

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“Based upon a deep belief in the importance of developer solutions, we have been tracking Split’s product and the team’s commercial progress during the past 18 months,” says Dave Zilberman, managing director at Comcast Ventures, who joins Split’s Board with this investment. “Split’s data integrations and enterprise functionality set it apart for enterprise-grade feature flagging and experimentation that allows software features to be measured by the business impact they make.”

Founded in 2015, Split recognizes that software is at the heart of every enterprise, and its mission is to empower product engineering teams to deliver features that have a direct and measurable impact on the business. Since then, it has emerged as the leading enterprise feature delivery platform by ensuring every feature creates a positive impact, bringing together feature flags with a data platform that can integrate into any data pipeline.

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