Resolve AI, a startup building what it calls “AI for prod” to help companies run and operate software in production, has raised $125 million in a non-blended Series A at a $1 billion valuation. The round was led by Lightspeed Venture Partners, with existing backers Greylock Partners, Unusual Ventures, Artisanal Ventures, and A* investing above their pro rata.
The company said the financing brings its total funding to more than $150 million, coming roughly 16 months after it emerged from stealth.
The company is positioning its product as a production-operations counterpart to development-focused AI tools, arguing that while AI has accelerated how software is written, reliability and day-to-day operations remain a bottleneck for engineering organizations. Resolve AI reports that modern software teams spend substantial time on operational work such as incident response, troubleshooting, and system stability, often requiring coordination among developers, SREs, platform engineers, and support teams. It also points to cloud infrastructure sprawl, frequent code releases, and operational knowledge embedded in informal workflows as compounding factors, alongside additional complexity from AI-generated code.
Resolve AI says its multi-agent system operates across code, infrastructure, and telemetry to triage alerts, investigate and resolve incidents, proactively surface production issues, and provide engineers with production context while writing code. The company argues that each customer environment is unique and continuously changing, making it difficult for general-purpose models to understand without being embedded directly in live production systems. It describes its approach as combining foundation and custom models with specialized agents trained to learn an organization’s stack, business logic, and operational patterns, while engineers retain control of decisions and execution.
Resolve AI was founded by Spiros Xanthos and Mayank Agarwal, who the company describes as observability pioneers with more than 20 years of experience building and operating production systems at scale. The founders previously helped create OpenTelemetry and most recently led Splunk’s observability business, and the company said they have had two prior exits to Splunk and VMware.
Resolve AI said it has already attracted enterprise customers, including Coinbase, DoorDash, MongoDB, MSCI, Salesforce, and Zscaler, positioning its platform to reduce operational overhead, speed recovery during incidents, and improve reliability metrics such as mean time to resolution. The company plans to use the new capital to accelerate product development, expand engineering and go-to-market teams, and support broader enterprise adoption as it scales its “AI for prod” offering.
KEY QUOTES
“The next frontier for software engineering is applying AI to the problem of running software in production. AI has fundamentally changed how software is built; now it’s time to change how software runs. By applying AI to production operations, we’re accelerating the entire lifecycle of software and creating the foundation for a new era of innovation at scale.”
Spiros Xanthos, Founder and Chief Executive Officer, Resolve AI
“While software development has been one of the fastest-growing applications of AI, Spiros and Mayank recognized early that the real value, and the harder problem, is in production. They’re not just adding features; they’re building a full-stack AI company from the ground up with custom models and agents purpose-built for managing complex software in production. We believe Resolve AI is defining an entirely new category, and this will be one of the most important applications of AI in enterprise software.”
Sebastian Duesterhoeft, Partner, Lightspeed Venture Partners
