Autonomously understands and restores your network.
Autonomously understands and restores your network.
Fuses logs, metrics, traces, alerts, and topology across layers and vendors into causal understanding — then acts and verifies autonomously.
Not just what is happening, but why. Cross-source causal reasoning and root cause analysis.
Observe → Correlate → Understand → Act → Verify. The system closes the loop without human intervention.
| Anomaly detection | Time-series, topology-aware |
| Predictive models | Failure forecasting |
| Correlation | High-volume structured signals |
| Causal reasoning | Unstructured data, vendor logs |
| RAG | Runbooks, docs, postmortems |
| Interaction | Natural language queries |
| TMF | Autonomous Networks L0–L5 |
| ETSI ZSM | Zero-touch, closed control loops |
| IETF | ANIMA, RFC 9315 (IBN) |
| AIOps | ML-driven anomaly detection, RCA |
| SRE | SLO, error budgets, toil reduction |
| GitOps | Declarative, version-controlled infra |