Resolve AI is an autonomous multi‑agent platform that connects to an organization’s code, infrastructure, telemetry, and knowledge bases to automatically investigate alerts, generate root‑cause hypotheses, and produce remediation actions such as code snippets, PRs, or Kubernetes commands. By handling incident triage and knowledge capture, it reduces resolution time and on‑call fatigue for large SRE, DevOps, and platform teams while meeting enterprise security standards.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams spend a large portion of their time on production toil—responding to alerts, debugging incidents, updating runbooks, and coordinating across services—because existing tools require manual effort and deep system knowledge.
Solution
Resolve AI provides an autonomous multi‑agent platform that connects to an organization’s code repositories, infrastructure, telemetry, and internal knowledge bases. The agents automatically investigate alerts, gather evidence across observability tools, and generate root‑cause hypotheses before on‑call engineers engage. By reasoning like a seasoned engineer, the system proposes remediation actions such as code snippets, PRs, kubectl commands, or documentation updates, and can execute them through integrated toolchains. The platform continuously learns from runbooks, chats, and past incidents, improving its investigative accuracy over time. This reduces incident resolution time, lowers on‑call fatigue, and frees engineers to focus on feature development.
Target Audience
Primary customers are large engineering organizations—SRE, DevOps, and platform teams—that manage complex, high‑scale production environments and need to reduce on‑call burden and incident resolution latency.
Features
- Multi‑agent AI that ingests code, infrastructure state, telemetry, and tribal knowledge to build a live model of production systems
- Automated incident triage that formulates and validates multiple root‑cause hypotheses in parallel
- Generation of actionable remediation artifacts (GitHub PRs, Kubernetes commands, scripts) tailored to the user’s environment
- Integrated knowledge capture from runbooks, wikis, and chat logs to continuously refine investigation logic
- Secure, enterprise‑grade deployment with SOC 2 Type II, GDPR, and HIPAA compliance, supporting SSO, RBAC, and encrypted data handling
- Plug‑and‑play connectors for observability platforms, version control, CI/CD pipelines, and incident communication tools (e.g., Slack, MS Teams)