Resolve AI, an artificial intelligence startup focused on site reliability engineering (SRE), has confirmed that it has raised US$125 million in fresh funding, reaching a US$1 billion valuation just two years after its founding.
The company disclosed that the financing was structured as a Series A round led by Lightspeed Venture Partners, marking one of the largest early-stage raises in the AI infrastructure and DevOps space to date.
Resolve AI develops autonomous AI agents designed to help engineering teams detect, diagnose and resolve production incidents across complex software systems. Its platform aims to reduce downtime by automatically responding to alerts, identifying root causes, and executing remediation workflows that would otherwise require human intervention.
According to the company, demand for AI-driven reliability tools has surged as enterprises increasingly rely on distributed cloud systems, microservices, and always-on digital infrastructure. Traditional SRE teams are often stretched thin, and Resolve AI positions its technology as a way to scale operational resilience without proportionally expanding headcount.
The startup says its AI agents integrate directly with existing observability, incident management and DevOps tools, allowing organizations to automate responses while maintaining oversight and auditability.
Lightspeed said its investment reflects confidence in Resolve AI’s technical approach and the growing need for intelligent automation in infrastructure management as systems become more complex and outages more costly.
Resolve AI plans to use the new capital to expand its engineering team, accelerate product development, and scale enterprise deployments globally. The company is also expected to deepen partnerships with major cloud and software providers.
The funding places Resolve AI among a small group of AI infrastructure startups that have reached unicorn status at the Series A stage, underscoring continued investor appetite for applied AI solutions with clear enterprise use cases.
