AI DevOps platform Harness, founded in 2017 by serial entrepreneur Jyoti Bansal, has successfully closed a $240 million Series E funding round, propelling its post-money valuation to an impressive $5.5 billion. This significant capital injection positions Harness to exceed $250 million in annual recurring revenue (ARR) by 2025, according to Bansal.
The latest funding round includes a $200 million primary investment led by Goldman Sachs, with additional participation from IVP, Menlo Ventures, and Unusual Ventures. A planned $40 million tender offer is also part of the raise, designed to provide liquidity for long-term employees, Bansal noted.
This new valuation marks a substantial 49% increase from its $3.7 billion valuation in April 2022, when it raised $230 million. To date, Harness has secured a total of $570 million in equity funding.
Addressing the 'After-Code' Gap in Software Development
While artificial intelligence (AI) dramatically accelerates code production, it simultaneously exacerbates a critical bottleneck in the extensive "after-code" phase of software development. This crucial stage—encompassing testing, security checks, and deployment—still consumes nearly 70% of engineering time. Harness's innovative tools are designed to automate this sprawling, error-prone layer, helping enterprises manage the rising volume of AI-generated code and mitigate the risks associated with deploying faulty software into production systems.
Jyoti Bansal, a prominent figure among developers, is well-known for building and selling app performance company AppDynamics to Cisco for $3.7 billion in 2017, demonstrating his deep understanding of the post-coding world.
Harness's Technological Edge
Harness leverages AI agents to automate vital functions such as testing, verification, security, and governance. Its foundation is a sophisticated software delivery knowledge graph that meticulously maps code changes, services, deployments, tests, environments, incidents, policies, and costs. Bansal emphasizes that this knowledge graph differentiates Harness from other AI platforms by providing the system with a profound understanding of each customer's unique software delivery processes and architecture.
“This knowledge graph is the context that our AI agents use,” Bansal told TechCrunch.
These purpose-built AI agents draw on this rich context to generate pipelines that precisely align with each customer's specific policies, architectural requirements, and operational needs. Furthermore, Harness employs an orchestration engine that translates AI recommendations into automated actions, incorporating robust checks to ensure changes are applied safely and securely. Recognizing that AI is not infallible, Bansal highlights that the system is designed with essential human oversight, ensuring that AI-generated tests or fixes undergo review by engineers, compliance teams, or auditors before implementation.
Market Traction and Global Expansion
Harness operates in a competitive landscape alongside industry giants like Microsoft's GitHub, GitLab, Jenkins, and CloudBees. Despite this, Harness has demonstrated significant traction, boasting over 1,000 enterprise customers, including notable names such as United Airlines, Morningstar, Keller Williams, and National Australia Bank. Bansal proudly reports that the startup has managed 128 million deployments, executed 81 million builds, protected 1.2 trillion API calls, and helped customers optimize $1.9 billion in cloud spending over the past year.
Headquartered in San Francisco, Harness maintains a global presence with over 1,200 employees across 14 offices worldwide, including locations in Europe and the U.K. A significant portion of its workforce, approximately 33%, is based in India, where it operates a large engineering team in Bengaluru and a corporate office in Gurugram. The Bengaluru site stands as Harness's largest development center outside the U.S.
The new funding will be strategically deployed to expand Harness's research and development efforts, facilitate the hiring of "hundreds of engineers" at its Bengaluru office, and build out additional automated testing, deployment, and security capabilities. The company also aims to enhance the accuracy of its AI systems, strengthen its U.S. go-to-market operations, and significantly broaden its international market presence.
Strategic Merger and Future Outlook
Earlier this year, Bansal merged his software observability firm Traceable with Harness, a move that has substantially contributed to the startup's projected ARR growth.
“We brought the two companies together because we started to see that DevOps and application security are coming together in a very, very deep way,” Bansal explained. “We have seen that turned out to be a very, very successful thesis this year … that’s driving a lot of growth for both of our DevOps and application security set of products.”
While this funding round has provided some liquidity for employees, Bansal remains committed to eventually taking Harness public, although he did not provide a specific timeline for an initial public offering (IPO).
“That’s what our goals and plans depend on,” he affirmed regarding an eventual IPO. “Our business is very, very healthy, very strong, high growth and margins, and it will be a great public company when the timing is right.”
