Resolve AI has closed a $125 million Series A funding round led by Lightspeed Venture Partners, placing the company at a $1 billion valuation.
Existing investors include Unusual Ventures, Artisanal Ventures, and A* participated, along with Greylock Partners, who led the startup’s $35 million seed round in late 2024. The raise brings Resolve AI’s total funding to more than $150 million.
What Resolve AI Does
Founded in 2024, Resolve AI’s platform monitors and integrates complex cloud environments such as AWS and Kubernetes, investigating production incidents, finding root causes, and recommending or automatically executing fixes. Instead of relying on static rules, the system builds a live knowledge graph of how a company’s infrastructure actually works and uses AI agents to reason across logs, metrics, deployments, and configuration changes.
The platform is built around what the company calls “AI for prod,” a category different from AI tools that assist with writing code. Unlike development-focused AI tools, AI for prod operates live systems by triaging alerts, investigating incidents, troubleshooting failures, and maintaining reliability after software has been deployed. When the system detects a problem, it generates multiple hypotheses about what may have gone wrong, then launches AI agents to investigate those possibilities.
Resolve AI was co-founded by former Splunk executive Spiros Xanthos and Mayank Agawal, with the platform already having an established enterprise customer base. Teams at Coinbase, DoorDash, MongoDB, MSCI, Salesforce, Zscaler, and others use Resolve AI to run more resilient systems and reduce operational risk.
Where the Funding Goes
The company plans to focus on three main areas with the new funding – advancing its AI research for software engineering, deepening product capabilities across the production stack, and expanding customer support for global enterprise deployments.
Today, the platform works alongside engineers in tools like Slack, Microsoft Teams, and the terminal. For Resolve AI, the longer-term roadmap points toward preventing production issues before customers ever notice them, rather than just resolving them after the fact.
A Growing Market
Resolve AI is not the only company pursuing this AI + SRE (Site Reliability Engineering) space. Competitors include Traversal, an AI SRE startup that raised a $48 million Series A led by Kleiner Perkins, with participation from Sequoia. Established players like PagerDuty and BigPanda also operate in incident management, although they predate the current wave of Agentic AI-driven automation.
For Resolve AI, they are certain the company is best positioned to solve the problem of fixing software after it launches.
“The agent era will create far more software than any era before it. The teams that win won’t be the ones that write code the fastest. They’ll be the ones who can run what they write, reliably and securely, at the same pace,” the company said in an announcement post. “That’s what AI for prod enables, and this Series A allows us to keep building it.”
