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Co-OPS AI is an AI-powered Kubernetes IDE and troubleshooting assistant designed for developers, DevOps, and platform engineering teams. It streamlines cluster management, accelerates problem triage, and reduces the need for constant context-switching between teams.

Our current MVP can triage Kubernetes issues using natural language queries. For example, you can ask, "Why is nginx failing?" and Co-OPS AI will analyze your cluster, review logs, and suggest actionable fixes — just like a platform engineer would.

Co-OPS AI empowers developers to resolve common Kubernetes issues independently, reducing escalations and interruptions for platform teams. This "shift left" approach saves hours of support time and boosts overall productivity.

Yes. While our MVP uses general models, we plan to support custom training using your organization's real-world cases and playbooks. This will enable tailored recommendations and continuous improvement based on your unique environment.

Co-OPS AI is a client application that runs locally on your machine, providing a native desktop experience. However, AI models (LLMs) and backend services are securely hosted by us in the cloud. This hybrid approach ensures fast, seamless user experience while allowing us to deliver the latest AI capabilities and updates. For enterprises with strict compliance or data residency requirements, we are planning options for dedicated or on-premises backend deployments.

Currently, data is processed using our AI provider (OpenAI). For organizations with strict compliance needs, we will offer dedicated or self-hosted solutions to ensure full control over data storage and processing.

Our landing page is live and we are onboarding early users for a closed beta. If you're interested in early access or want to see a demo, please join our Discord community or reach out directly.

We welcome feedback and collaboration, especially from teams building similar AI assistants or with unique Kubernetes challenges. Please join our Discord or contact us via the landing page for a direct conversation.