Infrastructure that manages itself.

Q: Is this ready for production?

CenterOS AI is in private beta with select teams. We're onboarding carefully to ensure quality. Request early access to join the waitlist.

Q: What infrastructure does it support?

Currently focused on Kubernetes-native workloads. Cloud provider integrations (AWS, GCP, Azure) are on the roadmap.

Q: How does progressive autonomy work?

You start in approval mode where agents recommend actions and you approve them. As you build trust, you can increase their autonomy level for specific action types.

CenterOS AI deploys autonomous agents that monitor, scale, and heal your infrastructure around the clock. Stop firefighting. Start building. Currently in private beta. Request your invite.

Request Early Access See How It Works

Your infrastructure is a full-time job nobody signed up for.

You're a product team, not an ops team. But someone has to keep the lights on — and it's eating your roadmap alive.

Alert fatigue is real

3am pages. False positives. By the time you've triaged, the damage is done. Your team is burned out and your users noticed.

Scaling is manual and reactive

Traffic spikes? Scramble. New service? Another week of YAML. Your infrastructure grows but your team doesn't.

Observability without action

Dashboards everywhere. Alerts configured. But turning signal into action? That's still on you.

One bad deploy away from downtime

Rollbacks are manual. Recovery is stressful. Every deploy is a gamble without automated safety nets.

Your infrastructure should work for you, not the other way around.

Meet your AI ops team.

Autonomous agents for your infrastructure.

CenterOS AI doesn't just monitor — it acts. Agents that detect anomalies, scale resources, remediate issues, and learn from every incident. Autonomously.

24/7

autonomous

Agents work while your team sleeps

< 60s

response

From detection to remediation

What You Get

Autonomous monitoring and alerting

Agents continuously observe your systems and act on anomalies before they become incidents.

Auto-scaling and resource optimization

Right-size your infrastructure automatically based on real demand patterns, not guesswork.

Self-healing deployments

Detect failures, roll back automatically, and learn from every incident to prevent recurrence.

Infrastructure as conversation

Ask questions, request changes, and get status updates in natural language. No more YAML archaeology.

From setup to autonomous in four steps.

Connect

Connect your Kubernetes clusters and cloud accounts. CenterOS agents begin observing immediately.

30 minutes · Quick integration

Learn

Agents map your infrastructure, learn normal patterns, and identify optimization opportunities.

1-2 days · Automatic discovery

Act

Start in approval mode. Review agent recommendations before they execute. Build trust incrementally.

Week 1 · Human-in-the-loop

Automate

As trust builds, increase autonomy. Agents handle routine operations while you focus on building product.

Ongoing · Progressive autonomy

Questions about CenterOS AI.

Is this ready for production?

What infrastructure does it support?

How does progressive autonomy work?

Ready for infrastructure that manages itself?

Request early access to CenterOS AI. Founding members get priority onboarding and locked-in pricing.