Harness hits $5.5B valuation with $240M raise to automate AI’s ‘after-code’ gap

Harness hits $5.5B valuation with $240M raise to automate AI’s ‘after-code’ gap

Harness, the AI DevOps platform established in 2017 by entrepreneur Jyoti Bansal, has successfully raised $240 million in a Series E funding round, elevating its valuation to an impressive $5.5 billion. Bansal, in an interview with TechCrunch, projected that the company is on pace to surpass $250 million in annual recurring revenue by 2025. The funding round featured a primary investment of $200 million led by Goldman Sachs, alongside a planned $40 million tender offer supported by IVP, Menlo Ventures, and Unusual Ventures. This tender offer aims to provide liquidity for long-term employees. The new valuation marks a significant increase of 49% from the company's previous valuation of $3.7 billion achieved during a $230 million funding round in April 2022. Harness aims to address a growing bottleneck in software development as AI accelerates code production. The post-coding phase, which includes testing, security checks, and deployment, continues to consume nearly 70% of engineering resources. Harness’s innovative tools target this complex and error-prone area, offering automation solutions that help enterprises manage the rising volume of AI-generated code while mitigating the risks associated with faulty software deployments. Bansal, renowned for his previous venture AppDynamics, which was sold to Cisco for $3.7 billion in 2017, emphasizes the importance of human oversight in the AI-driven process. Harness employs AI agents to automate various functions like testing, verification, security, and governance, leveraging a proprietary software delivery knowledge graph that enhances the system’s understanding of customer workflows and architectures. This unique knowledge graph sets Harness apart from competitors, as it provides context for the AI agents to develop pipelines tailored to each client's specific operational needs. Moreover, an orchestration engine ensures that AI-generated recommendations are executed safely, with necessary checks in place. The startup boasts a robust customer base of over 1,000 enterprises, including notable names like United Airlines, Morningstar, Keller Williams, and National Australia Bank. In the last year alone, Harness has managed an impressive 128 million deployments and optimized $1.9 billion in cloud expenditures. Employing over 1,200 staff across 14 global offices, including a significant presence in Bengaluru, India, Harness plans to allocate the new funding towards research and development, expanding its engineering team, and enhancing its automated testing and security capabilities. Bansal also mentioned the merger of his software observability firm Traceable with Harness, which has catalyzed the company's growth in both DevOps and application security. Looking ahead, while some employees have benefitted from the recent funding raise, Bansal envisions taking Harness public in the future, contingent on the right market conditions. With a healthy, high-growth business model, he remains optimistic about the potential for a successful IPO.

Sources : TechCrunch

Published On : Dec 11, 2025, 10:55

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