Resolve provides an autonomous multi‑agent AI platform that connects to an organization’s code, infrastructure, telemetry, and internal knowledge bases to investigate production alerts, generate root‑cause hypotheses, and deliver actionable remediation such as code snippets, PRs, or Kubernetes commands. By automating incident triage and offering real‑time Q&A about production systems, it reduces on‑call toil, speeds up resolution, and helps engineering teams onboard quickly while maintaining enterprise‑grade security and compliance.
Funding
$35M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OGFounders
Product
Problem
Engineering teams spend a large portion of their time on production toil—responding to alerts, debugging incidents, updating runbooks, and coordinating across tools—leading to slow incident resolution, higher operational costs, and difficulty onboarding new engineers.
Solution
Resolve AI provides an autonomous multi‑agent system that connects to an organization’s codebase, services, infrastructure, telemetry, and internal knowledge sources. The agents automatically investigate alerts, generate and test multiple root‑cause hypotheses, and produce actionable remediation such as code snippets, PRs, kubectl commands, or documentation. By continuously learning from runbooks, chats, and past incidents, the platform builds a living model of the production environment, enabling faster, more accurate incident response and automated production workflows. The system integrates with existing observability, version‑control, and collaboration tools, allowing engineers to query production context in real time and delegate routine on‑call tasks to the AI.
Target Audience
Primary customers are engineering organizations that operate large‑scale production systems—such as SaaS platforms, cloud services, and ad tech companies—and need to reduce on‑call toil, accelerate incident resolution, and improve operational efficiency.
Features
- Multi‑agent AI that connects to code repositories, infrastructure, observability platforms, and internal knowledge bases
- Automatic incident investigation that gathers evidence, builds causal timelines, and proposes root‑cause hypotheses before engineers intervene
- Generation of remediation actions including Git pull‑requests, Kubernetes commands, scripts, and post‑mortem drafts
- Real‑time Q&A interface for developers to obtain precise answers about production systems without manual doc searches
- Integration with common tools (e.g., Slack, MS Teams, Jira, Git) and support for executing actions directly from the platform
- Continuous learning from runbooks, wikis, chats, and incident feedback to improve future investigations
- Enterprise‑grade security with data encryption, SOC 2 Type II, GDPR, and HIPAA compliance