Aria Networks
AI-powered network observability platform — captures telemetry from every layer to pinpoint issues and optimize performance
| What is it | AI-powered network observability platform — captures telemetry from every layer to pinpoint issues and optimize performance |
|---|---|
| Pricing | Paid |
| Platform | Web Application |
| Best for | monitoring network performance in real time, identifying and diagnosing network issues faster |
| Domain registered | 2001 |
Data updated Sept. 19, 2026
What does Aria Networks do?
Aria Networks is a network intelligence platform that combines custom hardware and AI-driven software to give you complete visibility into every layer of your network. Instead of relying on isolated data sources, Aria captures telemetry from switches, host systems, and workloads, then fuses it into a unified context. The result is a real-time picture of what's happening — from traffic congestion and protocol health to GPU state and ML training metrics. The company claims its resolution is 100 to 10,000 times higher than competing tools, which means you can spot problems that traditional monitoring would miss.
How does it work? The foundation is Aria's own switches, built from the ASIC up to expose data that conventional hardware was never designed to reveal. On top of that, the software layer ingests network telemetry, host system counters, and workload intelligence, then applies AI reasoning to correlate signals and pinpoint root causes. The platform is designed for both human operators and AI agents — you can ask questions, and agents will run investigations continuously at scale. Aria also includes a calculator that shows how much revenue you can reclaim by improving model flop utilization (MFU), with examples suggesting a 3% MFU improvement can recover millions of dollars annually.
Who benefits most? Network engineers and IT operations teams who manage large-scale data centers, especially those supporting AI/ML workloads. Aria helps them reduce downtime, optimize performance, and make data-driven decisions about infrastructure. The combination of high-resolution telemetry and agent-based automation makes it particularly useful for organizations that need to squeeze every bit of efficiency out of their network — whether that's for training large models or running inference at scale.
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