Why Autonomously?

The Problem

Modern networks generate massive volumes of signals — logs, metrics, traces, alerts, topology changes — across layers and vendors. Operations teams are drowning in data, yet still lack understanding.

Existing tools observe. They collect, they visualize, they alert. But they leave the hardest question to humans: "Why is this happening?"

Beyond Observability

Observability tells you what is happening. We believe the next step is Understandability — correlating multi-source signals to reveal why it is happening. Not just dashboards and alerts, but causal reasoning and root cause analysis.

Two Pillars

Understandability

Fuse signals across sources, layers, and vendors to uncover causal relationships and identify root causes.

Closed Loop Automation

Don't stop at understanding. Detect, understand, act, and verify — closing the loop autonomously.

Observe Correlate Understand Act Verify

How a10y Uses AI

a10y is not a single-technique product. It combines statistical AI and Large Language Models, each applied where it is most effective.

Statistical AI & ML

Time-series anomaly detection, topology-aware correlation, predictive failure models. These handle high-volume, structured signals where speed and precision matter — detecting anomalies in millions of metrics per second without hallucination risk.

Large Language Models

Causal reasoning over unstructured data, natural language interaction, RAG-powered runbook retrieval. LLMs excel where context and judgment matter — interpreting vendor-specific logs, explaining root causes, and synthesizing knowledge from documentation.

Neither approach alone is sufficient. Statistical models detect that something is wrong. LLMs reason about why and what to do. Together, they form the cognitive backbone of autonomous operations.

Why "Autonomously"

Not "automated." Not "assisted." Autonomous.

Automation follows scripts. Autonomy means the system understands context, reasons about causality, and decides how to restore order — then verifies the outcome. The goal is a network that heals itself, not one that pages a human faster.

Bridging Telecom and IT

Telecom has decades of standards for autonomous operation — TMF, ETSI ZSM, intent-based networking. IT has cloud-native observability, AIOps, and SRE practices. These worlds have evolved in parallel. a10y bridges them.

a + utonomousl + y = a10y
A numeronym, like k8s (Kubernetes) and i18n (internationalization)
Penetrate. Understand. Restore.