Resolve AI, supported by Greylock and Lightspeed Venture Partners, today unveiled a major upgrade to its platform, introducing continuous background AI agents, a collaborative workspace, and a groundbreaking multi-agent investigative approach. Unlike traditional single-agent models, Resolve AI deploys a team of specialized AI agents that work in parallel to analyze, verify, and pinpoint the root cause of production failures with more than double the accuracy of previous versions. This system acts as a first responder to incidents, reducing time-to-resolution drastically — sometimes by over 80%, as experienced by customers like DoorDash. The platform’s agents constantly monitor changes and alerts, proactively managing system health and collaborating live with engineers. To ensure reliability, agents cross-check each other’s findings to avoid mistaken diagnoses. Resolve AI’s approach extends beyond incident response to broader operational tasks, shifting teams from reactive firefighting to proactive system management. Available through API and MCP server integrations, Resolve AI integrates smoothly into existing workflows, standing out from incumbents through deep technical expertise, including leadership from OpenTelemetry co-creators and advanced model fine-tuning. The company’s pricing ties cost to actual troubleshooting work performed, making it more cost-effective than building similar custom solutions. While not all organizations yet fully trust autonomous AI intervention, Resolve AI foresees growing confidence enabling automated decisions without human oversight. This evolution is critical as the surge in AI-generated code increases operational complexity, demanding smarter, more responsive production systems to keep pace with growing software velocity.
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