Harness Secures $240 Million in Series E Financing to Elevate AI-Driven Software Delivery
Harness, a key player in the software delivery industry, has recently announced a significant milestone, securing $240 million in a Series E financing round led by Goldman Sachs Alternatives. This new funding brings Harness's total valuation to an impressive $5.5 billion, reflecting the growing demand for an intuitive, AI-integrated platform that streamlines software delivery.
This latest financing round includes a substantial $200 million investment from Goldman Sachs, alongside a planned $40 million tender offer that has attracted participation from prominent firms such as IVP, Menlo Ventures, and Unusual Ventures. The swift ascension of Harness highlights the transforming landscape of software engineering, where automation and artificial intelligence are becoming increasingly essential.
While the coding itself occupies a significant portion of the software development process, a staggering 60-70% of time is consumed by ancillary tasks including testing, deployment, security compliance, and optimization. Harness is on a mission to automate these 'outer loop' processes by integrating intelligent solutions and fostering a more efficient workflow. By deploying AI within software delivery, Harness aims to reduce the friction that often decelerates project velocities.
As the volume of code generated skyrockets—reportedly increasing by 4X—companies face the additional challenge of ensuring each line of new code is thoroughly tested and secured. Essentially, organizations are on the lookout for innovative intelligence and automation tools capable of managing the entire after-code lifecycle more effectively. Harness's platform offers an ideal solution, bringing together a comprehensive suite of AI capabilities to tackle this challenge.
"The next frontier for AI in software engineering is applying intelligence to the delivery process—testing, verification, deployments, governance, and everything that takes place post-coding, even," says Jyoti Bansal, co-founder and CEO of Harness. "Our clients are moving faster than ever with AI, but the delivery process is where complexity and risk intensify. Harness is leading the charge in providing clarity, automation, and control over this critical part of the lifecycle."
The new funding is set to accelerate the evolution of Harness AI—a robust, unified system designed specifically for managing everything that comes after code writing. Harness AI is engineered to eliminate common bottlenecks that impede engineering velocity, ensuring that software delivery workflows are transformed into intelligent systems that learn, adapt, and make decisions on behalf of engineering teams.
The platform is built upon three foundational pillars that introduce intelligent automation across the software development life cycle:
1. AI Agents: A specialized library of agents meticulously designed for software delivery tasks, such as testing, security, and governance, aimed at minimizing the manual coordination traditionally required across teams.
2. The Software Delivery Knowledge Graph: A comprehensive mapping of code changes, services, deployments, and other operational elements that create an efficient unified context. This makes AI more precise and aligned with each customer’s unique workflows.
3. Enterprise-Grade Orchestration Engine: This reliable execution engine turns AI insights into consistent, automated actions across multiple pipelines and environments, facilitating safe and predictable decision-making.
This strategic approach ensures that every action taken by Harness AI is informed by deep organizational context, allowing teams to identify issues early, evaluate them properly, and resolve them prior to production release. This doesn’t mean teams take on more risks; rather, Harness's automation absorbs complexities typically faced during the software delivery process.
Harness’s capabilities have already yielded impressive results for over 1,000 enterprise customers. Some notable successes include:
As software delivery enters a new era, the demand for seamless integration and intelligent automation continues to grow. Harness is well-prepared to lead this transition. With a reported growth in Annual Recurring Revenue (ARR) projected to exceed $250 million by 2025 and a workforce expanding to over 1,200 employees globally, Harness is poised to reshape the future of software delivery.
As they utilize this Series E funding to innovate their platform further and push for broader global reach, Harness remains dedicated to realizing a future where the journey from code creation to production is fully automated, resilient, and secure. To explore more about Harness and their vision for AI in software delivery, visit harness.io.
This latest financing round includes a substantial $200 million investment from Goldman Sachs, alongside a planned $40 million tender offer that has attracted participation from prominent firms such as IVP, Menlo Ventures, and Unusual Ventures. The swift ascension of Harness highlights the transforming landscape of software engineering, where automation and artificial intelligence are becoming increasingly essential.
While the coding itself occupies a significant portion of the software development process, a staggering 60-70% of time is consumed by ancillary tasks including testing, deployment, security compliance, and optimization. Harness is on a mission to automate these 'outer loop' processes by integrating intelligent solutions and fostering a more efficient workflow. By deploying AI within software delivery, Harness aims to reduce the friction that often decelerates project velocities.
As the volume of code generated skyrockets—reportedly increasing by 4X—companies face the additional challenge of ensuring each line of new code is thoroughly tested and secured. Essentially, organizations are on the lookout for innovative intelligence and automation tools capable of managing the entire after-code lifecycle more effectively. Harness's platform offers an ideal solution, bringing together a comprehensive suite of AI capabilities to tackle this challenge.
"The next frontier for AI in software engineering is applying intelligence to the delivery process—testing, verification, deployments, governance, and everything that takes place post-coding, even," says Jyoti Bansal, co-founder and CEO of Harness. "Our clients are moving faster than ever with AI, but the delivery process is where complexity and risk intensify. Harness is leading the charge in providing clarity, automation, and control over this critical part of the lifecycle."
Harness AI: Streamlining Software Delivery
The new funding is set to accelerate the evolution of Harness AI—a robust, unified system designed specifically for managing everything that comes after code writing. Harness AI is engineered to eliminate common bottlenecks that impede engineering velocity, ensuring that software delivery workflows are transformed into intelligent systems that learn, adapt, and make decisions on behalf of engineering teams.
The platform is built upon three foundational pillars that introduce intelligent automation across the software development life cycle:
1. AI Agents: A specialized library of agents meticulously designed for software delivery tasks, such as testing, security, and governance, aimed at minimizing the manual coordination traditionally required across teams.
2. The Software Delivery Knowledge Graph: A comprehensive mapping of code changes, services, deployments, and other operational elements that create an efficient unified context. This makes AI more precise and aligned with each customer’s unique workflows.
3. Enterprise-Grade Orchestration Engine: This reliable execution engine turns AI insights into consistent, automated actions across multiple pipelines and environments, facilitating safe and predictable decision-making.
This strategic approach ensures that every action taken by Harness AI is informed by deep organizational context, allowing teams to identify issues early, evaluate them properly, and resolve them prior to production release. This doesn’t mean teams take on more risks; rather, Harness's automation absorbs complexities typically faced during the software delivery process.
Outcome-Driven Success Stories
Harness’s capabilities have already yielded impressive results for over 1,000 enterprise customers. Some notable successes include:
- - United Airlines: Achieved a 75% acceleration in deployment times and migrated 80% of workloads to the cloud.
- - Morningstar: Modernized its CI/CD ecosystem, obtaining 5x faster builds and transitioning from weeks-long releases to daily deployments.
- - Keller Williams: Increased deployment frequency by 6x while saving three weeks in every release cycle.
- - National Australia Bank: Reduced build times by 67% and enhanced troubleshooting efficiency by 85%.
The Road Ahead for Harness
As software delivery enters a new era, the demand for seamless integration and intelligent automation continues to grow. Harness is well-prepared to lead this transition. With a reported growth in Annual Recurring Revenue (ARR) projected to exceed $250 million by 2025 and a workforce expanding to over 1,200 employees globally, Harness is poised to reshape the future of software delivery.
As they utilize this Series E funding to innovate their platform further and push for broader global reach, Harness remains dedicated to realizing a future where the journey from code creation to production is fully automated, resilient, and secure. To explore more about Harness and their vision for AI in software delivery, visit harness.io.
Topics Business Technology）
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