Resolve AI Hits $1.5B Valuation With $40M Extension and Launches Dedicated AI Labs

Advancing AI for Production

Resolve AI announced a $40 million Series A Extension today, bringing its total valuation to $1.5 billion. The funding round, led by DST Global and Salesforce Ventures, comes just 18 months after the startup emerged from stealth. The company aims to redefine how enterprises manage complex software environments by deploying agentic AI systems that handle production incidents.

Launching Resolve AI Labs

Alongside the funding, the company unveiled Resolve AI Labs to pioneer domain-specific models for operational reliability. The lab is headed by Chief AI Scientist Dhruv Mahajan, a former Meta researcher who led post-training for the Llama foundation models. This strategic initiative will focus on creating AI that can reason across fragmented telemetry data and noisy production signals. Traditional AI coding assistants help developers write code faster, but managing that code in live environments remains a manual burden. Resolve AI addresses this bottleneck by using specialized agents to investigate outages and diagnose root causes autonomously. This shift allows site reliability engineers to move away from constant firefighting and toward high-impact development work.

Enterprise Impact

Major enterprise players such as Coinbase, DoorDash, and Salesforce are already utilizing the platform to stabilize their infrastructure. According to company data, Coinbase engineers have seen a 72 percent reduction in the time required to resolve production incidents. These real-world applications demonstrate the platform's ability to operate in high-stakes environments where accuracy and latency are critical.

Running software at enterprise scale means production incidents can have significant costs. Resolve AI has changed how our teams work through them.

The newly acquired capital will fuel go-to-market expansion and deeper research into synthetic data generation for simulated environments. By building governance frameworks and operational guardrails, Resolve AI plans to increase the autonomy of its agentic systems. This roadmap leads toward a future where production environments are largely self-healing and managed by specialized AI models.