Resolve AI Raises $125M Series A at $1B Valuation to Automate Software Production Operations
Resolve AI, a San Francisco‑based startup building autonomous artificial intelligence systems to run and maintain software in production, has secured major venture funding that has rapidly propelled it into the ranks of unicorn‑valued enterprise AI companies just over 16 months after emerging from stealth. The company announced it has raised $125 million in a Series A financing round at a $1 billion valuation, bringing its total capital raised to more than $150 million as it scales its “AI for prod” platform for modern cloud‑native engineering teams.
The Series A round was led by Lightspeed Venture Partners, a global venture capital firm that focuses on enterprise software, consumer, and disruptive technologies. Joining Lightspeed in backing Resolve AI were existing investors who supported the company’s earlier stages, including Greylock Partners—which led its seed round earlier in the company’s history—as well as Unusual Ventures, Artisanal Ventures, and A*, all of whom invested above their pro rata in the new round.
Founded in early 2024 by seasoned infrastructure and observability experts Spiros Xanthos and Mayank Agarwal, Resolve AI is addressing the complex challenge of operating software systems at scale. Xanthos and Agarwal previously held engineering leadership roles at Splunk and helped co‑create OpenTelemetry, the widely adopted open‑source standard for telemetry data across cloud environments. Their experience shaping how production systems are monitored and debugged underpins Resolve AI’s mission to automate site reliability engineering (SRE) tasks using specialized AI agents that learn each organization’s unique infrastructure and operational patterns.
Resolve AI’s technology is designed to go beyond traditional observability tools by working inside live production environments to proactively triage alerts, investigate incidents, and even remediate issues automatically. This “AI for prod” category targets the operational toil that typically consumes significant engineering resources, enabling DevOps, SRE, and platform teams to spend more time on building new features rather than firefighting recurring issues. The platform has already won enterprise customers including Coinbase, DoorDash, MongoDB, MSCI, Salesforce, and Zscaler, all using the system to improve operational reliability and accelerate software delivery cycles.
Resolve AI’s Series A financing represents a maturation of investor interest in AI infrastructure tools that solve real operational problems rather than focusing solely on code generation or development workflows. According to Lightspeed’s investment partner, the firm sees Resolve AI’s platform as foundational to how software will be run in the future, with deep custom models and agents that can navigate the complexity of distributed cloud environments and evolving system states without constant human intervention.
Prior to the Series A, Resolve AI raised $35 million in seed funding, led by Greylock Partners, with participation from a range of prominent technology figures and deep‑tech supporters. That earlier seed round included investments from individual investors such as Fei‑Fei Li and Jeff Dean, which highlighted strong confidence from both venture capital and academic technology communities in the company’s vision to transform site reliability engineering with autonomous AI.
The recent investment round will be used to accelerate product development, expand engineering and go‑to‑market teams, and support growing enterprise adoption as organizations seek ways to manage increasingly complex production systems with AI. Resolve AI aims to improve automation of incident resolution, reduce the mean time to recovery (MTTR), and provide real‑time operational context that helps teams deliver more reliable customer experiences.
With its founders’ background in observability and production systems, strong backing from top‑tier venture firms, and early traction among major technology companies, Resolve AI is positioning itself as a leader in a new category of AI‑driven production operations tools that blend machine intelligence with real‑world system management. As more enterprises embed AI deeply into their software stacks, tools like Resolve AI are expected to play a pivotal role in ensuring resilient, secure, and efficient operations at scale.
