Harness is Accelerating its Mission to Bring AI to Everything After Code

Harness, delivering intelligent AI automation, so your team ships code faster, safer, and smarter, led by Jyoti Bansal, Carlos Delatorre, and others, has secured a $240 million Series E financing round, comprised of a $200 million investment led by Goldman Sachs and a planned $40 million tender offer with participation from IVP, Menlo Ventures, and Unusual Ventures. This investment values Harness at $5.5 billion.

The real bottleneck in software engineering lies not in writing code, but in the slow, fragmented, and risky processes that follow: testing, deploying, and governing software. Harness was founded to remove this friction. As AI accelerates code creation, the gap between development and delivery grows, making streamlined post-code processes more critical than ever.

AI is generating code faster than teams can ship using manual workflows, creating a surge of changes through delivery pipelines, tests, security checks, and experimentation systems. Fragmented tools and manual processes cannot keep up, as every change, AI-generated or not, still requires testing, securing, deployment, and governance.

The bottleneck has shifted, and meeting AI-accelerated development demands a software delivery platform designed to manage downstream complexity. This mission has never been more critical.

Harness AI is built on three core capabilities: a knowledge graph capturing organizational context, AI agents that automate post-code steps like testing and delivery, and an orchestration engine ensuring safe, consistent execution. These agents act with context, closing the loop on manual work. Together, they form a unified platform that accelerates shipping and handles the complexity that has long slowed engineering, Harness is the AI platform for everything after code.

Harness is on track for $250M+ ARR with 50%+ growth, helping customers transform software delivery:

• United Airlines: 75% faster deployments.

• Morningstar: 5x faster builds, daily releases.

• Keller Williams: 6x more frequent deployments.

• NAB: 67% faster builds.

• Citibank: Deployments reduced to 7 minutes.

AI has transformed the first half of software engineering; the next frontier is everything after code. Delivering software safely, reliably, and confidently will define modern engineering.

The new investment accelerates the development of systems that unify intelligence, provide deep context, and automate complexity. The mission remains to automate everything after code, enabling teams to move with speed and confidence in the AI era.