TLDR:
- Resolve AI raises $35 million in seed funding led by Greylock
- Founded by former Splunk executive Spiros Xanthos
- Aims to automate software operations and troubleshooting
- Plans to double team size to 32 employees by year-end
- Developing tools for incident prevention and cloud cost optimization
Resolve AI, a startup focused on automating software operations, has successfully raised $35 million in seed funding.
The funding round was led by Greylock, a prominent Silicon Valley venture capital firm known for backing companies like Airbnb and Meta. This investment marks Greylock’s largest check written so far this year, highlighting the potential they see in Resolve AI’s technology.
Founded earlier this year by Spiros Xanthos, a former executive at Splunk, Resolve AI is developing artificial intelligence tools to autonomously troubleshoot and fix production issues in software systems.
The company’s main goal is to reduce the “Mean Time to Resolve” for software-related problems, allowing engineers to focus more on development tasks rather than operational issues.
Xanthos explained that while many AI tools for engineers focus on code generation, Resolve AI targets the time-consuming operational tasks such as on-call duties, troubleshooting, and infrastructure management. These tasks require not only an understanding of code but also knowledge of specific production environments.
The startup has developed proprietary agentic systems that can handle alerts and incidents using tools like AWS and GitHub without human intervention in most cases. This autonomous approach aims to take over stressful and time-consuming tasks, offering a more intelligent and effective solution for software operations.
Despite being a relatively new company, Resolve AI has already attracted clients, including DataStax. The fresh capital will be used primarily for hiring, with plans to double the current team of 16 people by the end of the year.
Resolve AI is looking to broaden its AI tools’ capabilities. The company plans to develop features for incident prevention and cloud cost optimization, further enhancing its value proposition to potential clients.
The funding round also saw participation from notable figures in the tech industry. Stanford Professor Fei-Fei Li and Google DeepMind’s Chief Scientist Jeff Dean joined as investors, lending additional credibility to Resolve AI’s mission.
Greylock partner Saam Motamedi, who led the investment, expressed enthusiasm for the potential of AI in software engineering.
He stated, “Reimagining software engineering with AI might be the biggest opportunity in generative AI.”
Motamedi emphasized the importance of a clear return on investment, noting that Resolve AI operates in a quantifiable space, which has enabled the company to quickly move from the proof of concept stage to production relationships with customers.
The significant seed funding for Resolve AI reflects a growing trend in the tech industry towards automating IT operations. Investors are particularly interested in companies that can demonstrate clear ROI and efficiency gains in software engineering processes.
By automating repetitive and time-consuming tasks, companies like Resolve AI are enabling engineers to focus more on innovation and strategic initiatives. This shift has the potential to increase productivity and accelerate technological advancements across multiple sectors.
