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Harness Stock (HARN)
Harness is an end-to-end delivery platform for intelligent software delivery that aims to provide a simple, safe and secure way for engineering and DevOps teams to release applications into production.
Harness is an end-to-end delivery platform for intelligent software delivery that aims to provide a simple, safe and secure way for engineering and DevOps teams to release applications into production.
About Harness Stock
Founded
2015
Total Funding
519M
Industries
Software
Harness is an end-to-end delivery platform for intelligent software delivery that aims to provide a simple, safe and secure way for engineering and DevOps teams to release applications into production. Its software delivery platform uses machine learning to detect the quality of deployments and automatically roll back failed ones, claiming to save time and reduce the need for custom scripting and manual oversight. Additionally, the company offers DevOp Modernization, AI Agents, Developer Experience, Software Delivery and Cloud Cost Optimization features.
Harness Press Mentions
Stay in the know about the latest news on Harness
AI Helps Credit Union Redefine Credit for Struggling Workers
pymnts • Oct 13, 2025
Harness CEO Jyoti Bansal on Why AI Coding Doesn’t Help You Ship Faster
thenewstack • Oct 11, 2025
Harkness invests in Premier Fence
pehub • Oct 11, 2025
Google launches ecosystem of extensions for Gemini CLI
sdtimes • Oct 10, 2025
Vibe coding: A question of chicken feed or food
computerweekly • Oct 09, 2025
Investors in Harness
Discover investors in Harness stock and explore their portfolio companies
Harness Management
Leadership team at Harness
Co-Founder & Chief Executive Officer
Jyoti Bansal
Chief Revenue Officer
Carlos Delatorre

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Harness Key Facts
- Strategic Merger and Product Portfolio Expansion: Harness has significantly strengthened its market position by completing its merger with Traceable, an API security platform, in March 2025. This strategic move creates an "AI-Native DevSecOps Platform" that integrates API security directly into the software development lifecycle. This allows Harness to offer a more comprehensive and secure platform, a key differentiator in a market where end-to-end security is a growing concern for enterprises.
- Continued Industry Recognition and Brand Reputation: Harness has consistently earned accolades that reinforce its strong brand reputation and leadership in the DevOps space. The company was named a Leader in The Forrester Wave™: DevOps Platforms, Q2 2025 and was included in the 2025 Forbes Cloud 100 for the fourth consecutive year. These third-party validations from respected industry analysts and publications showcase the company's strong brand and its ability to compete effectively against rivals.
- Focus on AI-Driven Innovation: Harness is actively investing in AI to maintain its technological edge and improve its product offerings. In August 2025, the company announced the general availability of its new Harness AI suite, which includes AI agents that automate every aspect of the software delivery process after code generation. This initiative, designed to improve developer productivity and reduce "non-code-producing work," demonstrates a commitment to innovation that can help the company attract new enterprise customers and solidify its position as a leader in the AI-Native DevOps market.
- Intense Competition in DevOps Market: Harness operates in a highly competitive market for DevOps and continuous delivery platforms. The space is crowded with established players like Jenkins, GitLab CI/CD, and AWS CodePipeline, as well as emerging startups offering similar automation and deployment solutions.
- Data Privacy and Security Risks: Harness processes and stores sensitive data related to software deployments, configurations, and user credentials. Compliance with data privacy regulations (e.g., GDPR, CCPA) and industry-specific security standards (e.g., PCI-DSS for financial services) is critical.
- Integration and Implementation Challenges: Implementing Harness’ platform requires integration with existing IT infrastructure, development tools, and cloud environments. Complex integrations or compatibility issues with legacy systems could delay deployment timelines, increase implementation costs, and affect user experience.
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