CloudAEye, Inc.

CloudAEye enables our users to import observability data (logs, metrics, traces) and view automated root cause analysis. Additionally, we identify similar issues and related code changes.

We have launched our product. We are currently working with initial customers.

Enterprises are spending huge amount of engineering resources to deliver service uptime. If you’ve ever found yourself on the dreaded 2 am on-call rotation, you know the feeling. Groggy and disoriented, you pull up a dashboard flooded with failing services, cryptic logs, and stern messages from your manager. Sometimes luck is on your side—you recognize the issue, follow a well-documented set of steps, and crawl back into bed within the hour. But other times, you’re in for a long night of bleary-eyed debugging. You are worried that the recovery is taking too long and you wake up your colleagues

At CloudAEye, we see an exciting opportunity: automated root cause analysis. Imagine an AI “agent” armed with access to logs, metrics, and traces. It dives deep, analyzing service data. Then, like a seasoned detective, it pinpoints the problem with necessary context. All of this happens automatically, empowering our customers to test and implement fixes as soon as issues arise.
Welcome to the future of incident resolution—a world where engineers can rest easy, knowing that AI has their back.

We are a B2B SaaS service.