Machine learning continuous app delivery platform Harness raises $60m

With the latest Series B funding round, the San Francisco startup has raised $80m in total for R&D and hiring, and now values $500m


Harness, a San Francisco-based startup which is developing a machine learning (ML)-enabled continuous app delivery and release platform for engineering and DevOps, has raised $60m in a Series B funding round, bringing the total capital the company has raised to $80m.

The firm will be using the money for R&D and hiring, according to CEO Jyoti Bansal, who revealed that it would be focusing on development, sales and customer success.

The funding round was led by Institutional Venture Partners, GV and ServiceNow Ventures, with Big Labs, Menlo Ventures and Unusual Ventures also participating.

"We were not actively seeking new investment at this point, but our strong market traction created heavy investor interest in Harness, resulting in a fast-moving and heavily oversubscribed Series B round," Bansal said. "We are thrilled to partner with world's leading investment and technology firms […] as we continue to build Harness into the next major software platform company."

Harness was co-founded by Bansal and former Apple DevOps architect Rishi Singh in 2017 with the aim of creating one of the world's first continuous delivery-as-a-service platforms which is automated using ML. With the fresh capital, the firm has now been valued at $500m.

"Harness delivers AI to DevOps with thoughtful automation of key components of the software engineering workflow," remarked GV general partner Adam Ghobarah. "With a mission driven by Jyoti Bansal and an incredibly strong founding team, Harness has the right team and technology in place to tackle some of the most complex challenges in software development and delivery." 

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