Resolve AI Hits $1.5 Billion Valuation With $40 Million Raise, Launches AI Labs for Production Operations

New updates have been reported about Resolve AI.

Resolve AI has secured a $40 million Series A extension at a $1.5 billion valuation, led by DST Global and Salesforce Ventures, bringing total funding to more than $190 million just 18 months after emerging from stealth. The company, whose enterprise customers include Coinbase, DoorDash, MSCI, Salesforce, MongoDB, and Zscaler, will use the capital to accelerate product development, expand go-to-market efforts, and fund long-term research.

Central to this strategy is the launch of Resolve AI Labs, a dedicated unit focused on domain-specific models and agentic systems for managing complex production environments. Led by new Chief AI Scientist Dhruv Mahajan, formerly responsible for post-training large-scale Llama models at Meta, the Labs will build and evaluate AI systems that can reason over noisy telemetry, long-running workflows, and constantly changing infrastructure while meeting stringent accuracy, latency, and governance requirements.

The Labs’ mandate includes custom model building and post-training for production operations, synthetic data generation and simulated environments for scalable training, evaluation frameworks for reliability, and control mechanisms to ensure safe autonomy. Resolve AI plans to co-develop these capabilities with large enterprises that operate some of the most complex and business‑critical systems, using real production incidents to shape models and agent architectures.

Management positions this initiative as the foundation for a staged evolution from human-in-the-loop to human-on-the-loop and, ultimately, largely autonomous production operations, where AI agents handle most investigation, diagnosis, and remediation. Customers such as Salesforce report that Resolve AI already cuts incident resolution times dramatically and reduces operational toil, freeing engineers to focus on higher‑value work.

For executives, the move signals that Resolve AI is investing heavily at the frontier of applied AI for reliability engineering, aiming to own the “AI for production operations” layer as enterprises modernize infrastructure. The combination of fresh capital, strategic investors with deep AI portfolios, and the build-out of Resolve AI Labs positions the company to compete as a specialized, high‑scale platform for AI‑driven operations rather than a generic copilot tool.