Resolve.ai

Resolve.ai: Agentic AI SRE for Autonomous Incident Response

Resolve.ai is an agentic AI SRE platform that goes beyond alert correlation and dashboards — it autonomously investigates production incidents end-to-end, determines root cause, and executes remediation across code, infrastructure, and telemetry.

Agentic Incident Response

When an incident fires, Resolve.ai's AI agent immediately begins investigating. It pulls logs, queries metrics, reads recent deployments, examines code changes, and correlates events across the entire stack. Within minutes, it produces a root cause analysis and then takes action — generating kubectl commands, creating Git PRs with fixes, or executing predefined runbooks.

Key Features

• Autonomous investigation: End-to-end incident analysis without human intervention
• Code + infra correlation: Connects code changes to infrastructure behavior
• Git PR generation: Creates actual fix pull requests for engineers to review
• kubectl execution: Can run Kubernetes commands to remediate live
• Runbook automation: Executes existing runbooks in closed-loop fashion
• Multi-cloud support: Works across AWS, GCP, Azure, and hybrid environments
• Enterprise integrations: PagerDuty, Slack, Jira, GitHub, GitLab

Who Uses Resolve.ai?

Resolve.ai is trusted by high-scale engineering organizations including Coinbase, DoorDash, and Zscaler. It's designed for teams that handle a high volume of incidents and want to reduce MTTR and on-call fatigue significantly.

Pricing

Pricing is available on request. Resolve.ai targets enterprise and high-growth engineering teams.