Greylock-backed Resolve AI raises $35 million in seed funding to help engineers

By Krystal Hu

(Reuters) – Resolve AI, a startup aiming to automate software processes, has raised $35 million in seed funding from investors led by Greylock, the latest entrant into the field of developing AI-powered tools for software engineers.

It’s the biggest check written so far this year by the Silicon Valley venture capital firm that backs companies like Airbnb and Meta. Stanford Professor Fei-Fei Li and Google DeepMind Chief Scientist Jeff Dean also participated in the tour.

Founded earlier this year by Spiros Xanthos, a former Splunk executive, Resolve produces AI tools that can independently troubleshoot and fix production issues, reducing “Mean Time to Resolve” and allowing engineers to focus on development tasks.

While most AI engineer tools focus on code generation, Xanthos argues that engineers spend more time on operational tasks such as on-call tasks, troubleshooting, and infrastructure management. These tasks require an understanding of the code and specific production environments.

By creating proprietary intermediary systems, Resolve can manage alerts and events autonomously using tools like AWS and GitHub, without human intervention in most cases, he said.

“Our goal is to take over stressful and time-consuming tasks and deliver a tool that can be much smarter and more effective,” said Xanthos.

The startup, which was initially self-funded, has already courted startup customers like DataStax.

Xanthos said it plans to use the capital for hiring and aims to double the current 16-person team by the end of the year.

The company also plans to expand its AI tools to perform more tasks such as incident prevention and cloud cost optimization.

“Reimagining software engineering with AI may be the biggest opportunity in generative AI,” said Greylock partner Saam Motamedi, who led the investment.

“We look for companies where there’s a very clear tie to the hard (return on investment). What Resolve has built is a very measurable area, and so they’ve been able to very quickly move out of that (proof of concept) into production relationships with customers.”

(Reporting by Krystal Hu in New York; Editing by Kirsten Donovan)