Autonomous Network Operations

Your network breaks at 3am. PhysicalLayer fixes it before anyone notices.

An autonomous agent that watches your network continuously, pinpoints the fault (BGP flap, interface down, routing loop), and executes the repair. Your team gets a change log, not a page.

The Problem

Network faults consume scarce team time

Most monitoring systems end with an alert. Engineers still get paged at 3am and repeat the same diagnostic steps they have performed countless times.

Alert volume fuels fatigue

Constant alerts teach teams to ignore notifications. Real faults blend into the noise, leaving the critical issue waiting.

Diagnosis is the time sink

Check interface counters, compare config diffs, and run traceroutes across ten hops. Each manual step adds minutes as users remain disconnected.

Networks outpace runbooks

A procedure that fixed a fault 6 months ago may miss three topology changes since then. Engineers spend as much time checking runbooks as using them.

How It Works

Detect and repair in seconds

PhysicalLayer connects to your network, consumes live telemetry, identifies the fault, and carries out a targeted repair, without a human in the critical path.

01

Connect your network

Direct PhysicalLayer to your infrastructure through SNMP, streaming telemetry, or SSH. Install no agents and rebuild no topology.

02

Ingest telemetry continuously

In real time, the platform reads interface counters, routing tables, syslog, and SNMP traps to maintain a live model of network state.

03

Agent-led diagnosis

When anomalies appear, the agent traces root cause across layers, not escalating every threshold breach as a critical alert.

04

Apply targeted repairs

For known fault patterns, PhysicalLayer makes reversible repairs, verifies the fix, and logs the full action trail.

Learn the full process
Capabilities

The complete operations loop beyond monitoring

Awareness across vendors

PhysicalLayer reads real device configs from Cisco, Arista, Juniper, and more, grounding diagnosis in your network rather than a generic model.

Confidence-based fault classification

Each event receives a fault type and confidence score. Low-confidence findings go to human review, while high-confidence findings can trigger automatic repair.

Execute reversible repairs

Every automated action is logged, time-stamped, and reversible. If the repair fails, PhysicalLayer reverts and escalates with full diagnostic context.

Fits your existing stack

Cisco IOS Arista EOS Juniper JunOS Grafana InfluxDB PagerDuty Slack ServiceNow gNMI / OpenConfig
Results

Results teams get with PhysicalLayer

73%
Reduction in mean time to repair for common fault categories, from internal early-access data across 8 networks (June 2025 to April 2026)
91%
Automated repairs confirmed resolved on first execution across early-access pilot deployments
4.6x
More incidents handled without a human in the critical path, measured in the same pilot cohort

"We once spent two to three hours on each VLAN mismatch. PhysicalLayer spots the issue in the telemetry stream and repairs the trunk config before the first ticket is opened."

DW
Daniel Whitmore, Network Architect
Regional logistics infrastructure provider, early-access pilot program

"Confidence scoring earned our team's trust in automated repairs. We began with high-confidence OSPF adjacency fixes, then expanded from there. It has not incorrectly reverted a single action."

SR
Simone Reyes, Senior Network Engineer
Manufacturing enterprise infrastructure team, early-access pilot program
Pricing

Simple plans, transparent pricing

Try any plan first, then scale it as your network expands.

Observer
$249/mo
Up to 50 devices
View details
Most Popular
Operator
$749/mo
Up to 250 devices
View details
Enterprise
Custom
Unlimited devices
Contact us
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Prevent outages instead of investigating them

Connect devices in under 15 minutes, with no professional services or architecture redesign.