AI Early Access

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AI-Powered Answers.
More Needle.
Less Haystack.

Modern observability is too much work — too noisy, too expensive, too manual. Small teams don’t have time to tune dashboards, chase false alarms, or mine mountains of logs for meaning.

And yet… the signal is in there.

You just need a system smart enough to find the needle in the haystack.

Sign Up for Early Access

AI-First Observability for Your Logs

Our AI-first observability engine replaces dashboard diving with direct, contextual answers with supporting data:

• Incident summaries in plain English
Root cause hypotheses with supporting signals
Timeline of changes — what changed, when, and where
Real-time alerts that actually mean something
Kubernetes-aware (pod, image, container metadata included)
Zero config. No tuning. No training. No complex queries.
Boil-up signal distillation — agents analyze locally, boil up only what matters

Built for Lean, Fast-Moving Teams

Whether you’re a startup SRE team or a solo DevOps engineer, this is observability that works like you do:

• Lightweight
• AI-Native
Immediately useful

Built on a hierarchical, agentic architecture, ControlTheory distills log data from the bottom up – surfacing pure signal through layers of autonomous assistants.

You don’t get more data. You get distilled insight — fast.
Stop triaging noise. Start solving incidents.

Sign up for Early Access in the form above