Resolve AI Raises $125 Million Series A to Scale AI for Prod

Resolve AI, helping you resolve incidents, optimize costs, and code with production context using AI that works across your code, infra, and telemetry, led by Mayank Agarwal and Spiros Xanthos, has secured $125 Million Series A funding led by Lightspeed Venture Partners, with pro-rata or above participation from Greylock, Unusual Ventures, Artisanal, and A*. The non-blended Series A round values Resolve AI at $1B, bringing the total funding to more than $150M.

Resolve AI launched over a year ago to build agents for debugging and operating production systems, now deployed across leading enterprises to improve reliability and reduce operational toil.

Running production at scale remains more difficult than writing code, as failures rarely exist within a single system and often emerge from interactions between deployments, configurations, and infrastructure.

Achieving reliability requires significant human effort, pulling engineers into frequent incident response and diverting senior talent from building to firefighting, while overprovisioned infrastructure absorbs additional cost. These challenges are further amplified by faster code generation through AI. For agents, production environments are especially hard to navigate due to fragmented data, human-centric tools, and critical undocumented context embedded as tribal knowledge.

AI for prod is an agentic interface to production that continuously learns environment-specific context across code, observability, deployments, infrastructure, configuration, and operational history to resolve alerts and incidents. By reasoning over fragmented evidence and delivering actionable recommendations with humans in control, the same agents handle incident diagnosis, rollbacks, capacity and configuration changes, infrastructure actions, and guided code updates.

Deployed across business-critical systems at companies like Coinbase, DoorDash, Salesforce, and Zscaler, Resolve AI has improved MTTR, reduced incident staffing, lowered operational risk, and freed engineering time for building.

This funding will focus on advancing applied AI research for software engineering, deepening production reasoning toward closed-loop systems with broader enterprise integrations, and supporting expanding global deployments. Resolve AI already operates alongside engineers and SREs across collaboration tools and terminals, with the next phase centered on preventing and containing production issues before customer impact.

As the agent era accelerates software creation, success will favor teams that can operate systems reliably and securely at scale. AI for prod is built to enable that future, and this Series A supports continued progress toward it.