Brief

Harness Lands $240M to Speed Up the Slowest Part of Writing Software

Harness secures $240M to scale its AI DevOps agents, knowledge-graph automation, and global engineering teams as rising AI code volume intensifies demand for after-code testing, security, and deployment automation.

By Daniel Mercer • 2 mins read Published: Updated:

Harness, the AI-powered DevOps platform founded by serial entrepreneur Jyoti Bansal, has raised a $240 million Series E round led by Goldman Sachs, pushing its valuation to $5.5 billion. The company expects to surpass $250 million in ARR in 2025, reflecting growing enterprise demand for tools that automate the “after-code” phase of software development—testing, verification, security checks, and deployment—which still consumes most engineering time despite AI accelerating code creation.

Harness uses purpose-built AI agents running on a software delivery knowledge graph that maps every part of a customer’s engineering lifecycle. This context allows the system to generate pipelines, enforce governance, and automate complex workflows with human oversight. The platform now serves more than 1,000 enterprise customers, including United Airlines and National Australia Bank, and has managed over 128 million deployments.

With more than 1,200 employees globally, one-third in India, Harness plans to use the new capital to expand R&D, strengthen U.S. and international go-to-market operations, and accelerate hiring in its Bengaluru engineering hub. Bansal said the company still aims for an eventual IPO once market timing aligns.

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Harness’s momentum comes amid rapid growth in AI-driven software delivery and agentic DevOps, echoing broader industry moves—from GitHub, GitLab, Jenkins, and CloudBees—toward deeper automation as AI-generated code reshapes engineering workflows.

The broader ecosystem is heating up as well: vibe-coding startup Kilo Code just raised $8 million to speed up AI-assisted software creation; Mistral debuted Devstral 2 and its Vibe CLI to push context-aware code automation further into enterprise workflows; and no-code builder Empromptu secured $2 million to help nontechnical teams create production-ready AI apps with built-in governance and integration.

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