Resolve AI, a startup building an autonomous site reliability engineer, has reached a headline valuation of $1 billion in a Series A led by Lightspeed Venture Partners, according to people familiar with the deal.
The funding marks one of the most aggressive bets yet on AI systems designed to maintain and repair software infrastructure without human intervention. Resolve AI’s product automatically identifies, diagnoses, and resolves production issues in real time, a role traditionally handled by highly trained site reliability engineers.
Sources said the round used a multi tranched structure that has become common among in demand AI startups. In this setup, part of the investment was priced at a $1 billion valuation, while the remainder was purchased at a lower price, resulting in a blended valuation below the headline figure.
Resolve AI’s annual recurring revenue is approximately $4 million, according to two people familiar with the company’s finances. The total size of the funding round was not disclosed. Resolve AI and Lightspeed declined to comment.
The company was founded less than two years ago by Spiros Xanthos, a former Splunk executive, and Mayank Agarwal, Splunk’s former chief architect for observability. The two met more than two decades ago while studying at the University of Illinois Urbana Champaign and previously co founded Omnition, which Splunk acquired in 2019.
Their new startup tackles a growing pain point across the tech industry. As software systems spread across increasingly complex cloud environments, companies struggle to hire enough experienced reliability engineers to keep systems running. Outages are costly, reputation damaging, and difficult to predict.
Resolve AI’s pitch is simple but ambitious. Replace reactive human troubleshooting with automated systems that can detect problems early and fix them instantly. By reducing downtime and cutting operational overhead, companies can shift engineering talent away from constant firefighting and toward building new products.
The startup raised a $35 million seed round last October led by Greylock, with participation from World Labs founder Fei Fei Li and Google DeepMind scientist Jeff Dean. It now competes with Traversal, another AI powered SRE startup that raised a $48 million Series A led by Kleiner Perkins with backing from Sequoia.
Investor appetite suggests that autonomous infrastructure management is becoming a core layer of the modern software stack, not a niche tool.
What This Means for Everyday People
For everyday users, autonomous reliability tools could quietly change how digital services behave. Fewer outages, faster fixes, and more stable apps mean less frustration when banking apps crash, healthcare portals fail, or workplace software freezes mid task. At the same time, these systems reduce the need for human oversight, raising questions about accountability when automated tools control the backbone of daily digital life.
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