AI incident investigation is live.See how it works →

About DevOps Genie

We're building the AI DevOps engineer for teams that need to move fast without losing control.

DevOps Genie exists because infrastructure work is still too slow, security work is too manual, and most teams cannot scale platform expertise as quickly as product demand grows.

Our mission

Make production-grade DevOps accessible to every engineering team.

Startups and lean engineering teams are expected to ship infrastructure, pass audits, respond to incidents, control spend, and maintain deployment pipelines with the same rigor as much larger platform teams.

DevOps Genie brings those workflows into one conversational product. It scans cloud accounts, explains risk, helps teams understand compliance posture, and uses an optional in-cluster agent to generate reviewable infrastructure changes.

The goal is not black-box automation. The goal is a trusted AI engineer that gives teams context, creates safe plans, opens pull requests, and keeps humans in the approval path.

What we believe

AI for infrastructure should be trustworthy before it is autonomous.

Automation should be reviewable

DevOps Genie creates plans, explanations, and pull requests so teams stay in control of infrastructure changes.

Security is a product primitive

Cloud access should be scoped, findings should be explainable, and compliance should be continuous instead of a last-minute scramble.

AI should work with your systems

The best DevOps AI understands cloud accounts, repositories, Kubernetes, CI/CD, and your team's operating model.

Founder note

DevOps Genie is being built by founders and engineers who have felt the cost of slow infrastructure work firsthand: delayed launches, noisy security backlogs, manual audit prep, and constant context switching between cloud consoles, repos, and dashboards.

We are building the product we wanted on those days: an AI DevOps engineer that understands the system, explains its reasoning, and turns work into safe, reviewable changes.

Operating values

How we build

Human-in-the-loop by default
Self-serve before sales-led
Practical automation over demos
Secure, observable, and auditable changes

Help us make DevOps feel less like toil.

Join us as a customer, teammate, or early believer in safe AI-powered infrastructure.