About
Harness builds an AI-native, end-to-end software delivery platform for software engineering and DevOps teams. Its differentiation is purpose-built AI automation spanning the software development lifecycle, including building, testing, deployment, verification, security, and cloud-cost optimization.
Market
Harness competes in the enterprise DevOps and software-delivery platform market, spanning CI/CD, developer self-service, testing, application security, reliability, infrastructure automation, and cloud-cost management. It positions itself as a unified, end-to-end AI platform rather than a standalone CI/CD or deployment tool. Its differentiation is embedded agentic AI and a Software Delivery Knowledge Graph across the SDLC, combined with modular adoption, broad integrations, and support for multi-cloud and Kubernetes environments.
Harness primarily targets large, software-intensive enterprises and organizations with complex software-delivery, security, governance, and cloud-cost requirements. Its core buyers and users are engineering, DevOps, platform engineering, SRE, AppSec, testing, and FinOps leaders, with customer examples including Workday, United Airlines, Morningstar, and Choice Hotels.
At a Glance
Problem
Software teams need to build, test, deploy, and verify software on demand, but traditional delivery processes create bottlenecks across testing, pipeline configuration, and release management. Manual end-to-end testing is slow to author, brittle when user interfaces change, and expensive to maintain, while increasingly rapid AI-assisted coding raises the need for the rest of the software-delivery pipeline to keep pace. The resulting pain is engineering toil, slower releases, and less time for developers to focus on product innovation.
The clearest killer use case is automating the CI/CD workflow: create and manage delivery pipelines, run reliable tests, and move validated software into production faster and with greater confidence. Harness specifically targets the testing bottleneck with AI-assisted, self-healing end-to-end tests that reduce manual maintenance and help teams release more quickly.
Product / Service
Harness is a self-service, end-to-end software-delivery platform covering the software development lifecycle. Its capabilities include continuous integration and delivery, GitOps, testing, infrastructure and database DevOps, security and compliance, feature management, resilience, and related developer tooling. The platform is increasingly organized around purpose-built AI agents that automate complex tasks and provide real-time assistance within the delivery workflow.
The product combines AI QA automation, an AI DevOps Assistant for creating and managing pipelines, and an AI Code Assistant for code explanations, repository search, and pull-request support. Harness says its AI QA Assistant can create tests through a no-code generative-AI interface, recommend additional checks, and adapt tests when applications change; the company markets this as enabling faster test creation, less test maintenance, and faster release cycles. The delivery model is self-service and on-demand, with the AI Code Assistant available to Harness customers at no additional charge.
Market
Harness competes in the DevOps and software-delivery-platform market, particularly the CI/CD, continuous testing, developer productivity, and SDLC automation categories. Its positioning is broader than a standalone CI/CD tool: the company presents a unified platform for managing software delivery end to end, with AI agents spanning coding, testing, pipeline operations, and software-delivery governance. The supplied research does not name specific competitors, so a defensible competitor list cannot be established from the available evidence.
The evidence indicates a live, deployed product rather than a pre-revenue concept: Harness describes a self-service platform compatible with organizations of all sizes and refers to its customer base in announcing generally available product functionality. However, the research provides no customer count, revenue, growth rate, funding figure, or other quantitative traction metric. Its demonstrated traction is therefore qualitative—an expanding product suite and an existing customer base—rather than quantified in the available material.
Founders & Leadership
Funding History
ClearSky, Crosslink Capital, Rally Ventures, Petrillo Capital
IVP, Google Ventures (GV), ServiceNow Ventures
ClearSky, Crosslink Capital, Rally Ventures, Petrillo Capital
Cargill
Menlo Ventures, IVP, Unusual Ventures
Menlo Ventures, Thomvest Ventures, Norwest Venture Partners, Unusual Ventures, IVP, Alkeon Capital Management, Battery Ventures, Citi Ventures, Sorenson Capital
Norwest Venture Partners
SVB, Hercules Capital
Goldman Sachs
Recent News
Harness and Kong announced an expansion of their strategic partnership, focused on delivering comprehensive API and AI security capabilities.
Harness reported 55 new features shipped in June 2026, including Autonomous Worker Agents for software delivery.
Harness announced the appointment of Bill Koefoed as its chief financial officer.
Harness announced a $240 million Series E financing round, including a $200 million investment led by Goldman Sachs and a planned $40 million tender offer involving IVP, Menlo Ventures, and Unusual Ventures. The financing valued Harness at $5.5 billion.
Active Roles
82Business Model
Harness monetizes through software subscriptions organized into free, packaged Essentials, and enterprise plans, with modular capabilities and premium support for larger organizations. Customers receive ongoing product updates as part of their subscription, while enterprise purchases are primarily sales-led.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Goldman Sachs, IVP, Menlo Ventures, Unusual Ventures, Norwest Venture Partners, Splunk