Resolve AI, a startup focused on automating system reliability engineering (SRE) workflows, has confirmed that it raised $125 million in a Series A round at a $1 billion valuation. The announcement formally validates earlier reporting that the company was closing a large financing at unicorn status.
The round was led by Lightspeed Venture Partners and included participation from existing investors Greylock Partners, Unusual Ventures, Artisanal Ventures, and A*. The confirmation follows a December report by TechCrunch that first disclosed the fundraising effort and valuation target.
At the time of that earlier report, sources suggested the financing may have been structured in multiple tranches at different prices, a setup that can result in a blended valuation below the headline figure. Resolve AI has since disputed that characterization. According to a company spokesperson, the round did not include multiple tranches, and the entire equity portion of the financing was completed at a $1 billion valuation.
Resolve AI was founded in early 2024 by Spiros Xanthos and Mayank Agarwal, both former Splunk executives. The founders previously co-created Omnition, a company specializing in observability and automation that was acquired by Splunk in 2019. Their background in large-scale enterprise monitoring and analytics has shaped Resolve AI’s focus on reducing the operational burden associated with system outages and reliability incidents.
The company operates in a growing category known as AI SRE, which applies artificial intelligence to detect, diagnose, and resolve system failures. These platforms aim to automate tasks traditionally handled by site reliability engineers, such as troubleshooting outages, analyzing logs, and identifying root causes under time pressure. By accelerating remediation and reducing manual intervention, AI-driven SRE tools are positioned to improve system uptime and operational efficiency across complex IT environments.
Resolve AI is not alone in pursuing this approach. Other startups, including Sequoia-backed Traversal, are also applying AI techniques to system outage detection and resolution, highlighting increasing investor and enterprise interest in automating reliability and incident response functions.
The size of Resolve AI’s Series A places it among the largest early-stage raises in the enterprise AI infrastructure space this year. The funding signals strong confidence from investors in both the company’s technology and the broader AI SRE category, as enterprises continue to seek scalable ways to manage increasingly complex and distributed systems.
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