Harness Inc. is an American software company whose platform helps businesses put their applications into production. Based in San Francisco, the company primarily serves development, platform engineering and IT operations teams. Its goal: to reduce manual interventions between writing code and putting it into actual use, while giving organizations greater visibility into the reliability, security and cost of their operations.
Roots in deployment automation
Publicly launched in 2017, Harness was co-founded by Jyoti Bansal and Rishi Singh. Bansal had previously co-founded AppDynamics, an application performance monitoring specialist acquired by Cisco. This experience sheds light on Harness’s initial positioning: automating deployments and using monitoring data to verify that a new version works correctly.
The company subsequently broadened its scope by developing new modules and making acquisitions. The acquisition of Drone, announced in 2020, strengthened its continuous integration offering. The acquisition of Split, announced in 2024, expanded its feature management and experimentation capabilities. These deals illustrate the shift from a deployment-focused tool to a platform covering several stages of the software delivery lifecycle.
Connecting development, operations and governance
The core offering is built around continuous integration and continuous delivery, commonly referred to as CI/CD. These practices automate the building, testing and deployment of applications. Harness offers mechanisms for verifying production deployments and rolling back to an earlier version when a problem is detected. The platform integrates with code repositories, cloud services and tools already used by technical teams.
Alongside this foundation, the company sells modules for cloud cost control, resilience testing and software supply chain security. Feature management, or “feature flags,” makes it possible to gradually enable a new feature for selected users without having to redeploy the entire application. These components address distinct needs but share a common approach: making software changes more controllable and their impact more measurable.
Harness also incorporates artificial intelligence capabilities to assist with certain tasks, including failure analysis and the preparation of automated workflows. Their operational value, however, depends on the quality of the available data, the integrations and the validation rules retained by the client company.
What’s next?
For Harness, the challenge is to reconcile the breadth of its portfolio with gradual adoption and ease of operation. In a market that also includes GitLab, GitHub and the major cloud providers, key differentiators include interoperability, governance and demonstrable gains. The rise of AI-assisted coding could increase the need for testing and deployment controls without making human oversight any less necessary. Website: harness.io.