Harness has secured $240 million in Series E financing as it accelerates its mission to bring artificial intelligence to every stage of software delivery that follows code creation. The round includes a $200 million investment led by Goldman Sachs and a planned $40 million tender offer with participation from IVP, Menlo Ventures, and Unusual Ventures, valuing the company at $5.5 billion.
Founded in 2017, Harness was built on the belief that the biggest bottlenecks in software engineering do not occur during coding, but in the downstream processes required to safely and reliably deliver software to customers. These processes include testing, verification, security, deployment, governance, and ongoing optimization, all of which have traditionally relied on fragmented tools and manual workflows.
As AI dramatically accelerates the pace of code generation, the strain on these downstream systems has intensified. Engineering teams are now producing more changes than legacy delivery pipelines can reasonably handle, creating backlogs and increasing operational risk. Harness positions its platform as a response to this imbalance, focusing on automating and orchestrating everything that happens after code is written.
The company’s platform is anchored by Harness AI, which is designed to understand an organization’s architecture, services, pipelines, policies, and historical data. This context enables AI agents to evaluate, prioritize, and automate critical post-code activities, including testing, verification, security, governance, and delivery. These agents are supported by a centralized orchestration engine intended to ensure that AI-driven actions are consistent, predictable, and safe across complex environments.
Over the past year, Harness has expanded this foundation into agentic AI workflows that go beyond recommendations by taking direct action to remove manual effort from software delivery. By grounding AI agents within the platform and organizational context, the company aims to help engineering teams ship software faster while managing increasing complexity.
Harness reports strong business momentum alongside this product expansion. The company expects to exceed $250 million in annual recurring revenue this year with growth above 50 percent. Its platform is used by large enterprises across industries, including airlines, financial institutions, and global enterprises, to modernize CI/CD pipelines, reduce deployment times, and improve developer productivity.
Customer results highlighted by the company include significant reductions in deployment times, faster build cycles, increased deployment frequency, and substantial reductions in operational toil across large engineering organizations. These outcomes reflect growing demand for unified platforms that can manage the second half of the software development lifecycle as AI reshapes how code is produced.
With the new funding, Harness plans to accelerate investment in unified intelligence, deeper contextual understanding, and expanded automation across software delivery workflows. The company views the post-code phase of engineering as the next major frontier for differentiation, particularly as AI continues to redefine how software is built.
