Beyond observability — toward autonomous understanding and recovery.
Networks generate massive signals across layers and vendors. Existing tools observe — they collect, visualize, alert. But they leave the hardest question to humans: "Why is this happening?"
Not just what, but why. Cross-source causal reasoning and root cause analysis.
Observe → Correlate → Understand → Act → Verify. Autonomously.
Anomaly detection, predictive models, topology-aware correlation. Speed and precision on structured data.
Causal reasoning, RAG over runbooks, natural language interaction. Context and judgment on unstructured data.