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Orion Edge: AI-driven intelligence for software-defined RAN.

CodeZeroGroup’s Orion Edge helps mobile network operators predict congestion, forecast KPIs and make explainable, auditable network decisions at the edge. Toroosio brings Orion to operators across the GCC.

What Orion Edge does

Orion Edge is an AI-driven, software-defined RAN intelligence platform. It turns live network signals into forecasts and recommendations, so operations teams can act before customers notice a problem.

Live network signals

Orion Edge reads live signals from the radio network at the edge.

Live QoS inference: understand quality of service as it happens.
Traffic classification: see what is driving load across the network.
Live QoS · per cellVideoWebGamingIoTTraffic classification · share of load

Forecasts

Signals become forecasts, so teams see problems coming.

Congestion forecasting: predict KPI trajectories and quantify congestion risk.
Act before customers notice a problem.
Congestion thresholdRisk crosses in 40 minActualForecast with confidence band

Recommendations

Forecasts become recommended actions that operations teams can trust.

An LLM layer proposes actions.
A deterministic scoring engine verifies every final decision, so outcomes stay explainable and auditable.
LLM LAYERProposes: shiftload to Cell 07SCORING ENGINEDeterministicchecks and scoreVerifiedWhy: forecast risk highEvidence: KPI + topologyLogged for audit
Select a stage to follow a signal from the network to a verified decision. Visuals are illustrative.

Capabilities

Select a group to explore its capabilities.
QoS NOW92QoS scoreTRAFFIC MIXFORECAST

Live QoS inference

Understand quality of service as it happens.

Traffic classification

See what is driving load across the network.

Congestion forecasting

Predict KPI trajectories and quantify congestion risk.

WHAT-IFTiltPowerLoad shareLLM proposesaction options87resilience✓ Verified decision

Policy simulation and what-if modelling

Test changes before they reach the live network.

Security resilience scoring

Measure how well the network withstands threats.

AI recommendations, verified

An LLM layer proposes actions; a deterministic scoring engine verifies every final decision, so outcomes stay explainable and auditable.

SASESD-WANSD-RANIssue attributed: transport hop

SD-RAN, SD-WAN and SASE intent modelling

One view of intent across radio, WAN and security.

RAN-aware traceroute attribution

Tell radio, transport and upstream issues apart.

Global path intelligence

Combine telemetry, routing signals and edge inference.

Why it matters for GCC operators

Operators in the region are investing heavily in 5G and software-defined networks. Orion Edge gives their teams explainable AI they can trust in a regulated, high-availability environment.

Book an Orion briefing

Orion Edge: AI-driven intelligence for software-defined RAN.

CodeZeroGroup’s Orion Edge helps mobile network operators predict congestion, forecast KPIs and make explainable, auditable network decisions at the edge. Toroosio brings Orion to operators across the GCC.

What Orion Edge does

Orion Edge is an AI-driven, software-defined RAN intelligence platform. It turns live network signals into forecasts and recommendations, so operations teams can act before customers notice a problem.

Live network signals

Orion Edge reads live signals from the radio network at the edge.

Live QoS inference: understand quality of service as it happens.
Traffic classification: see what is driving load across the network.
Live QoS · per cellVideoWebGamingIoTTraffic classification · share of load

Forecasts

Signals become forecasts, so teams see problems coming.

Congestion forecasting: predict KPI trajectories and quantify congestion risk.
Act before customers notice a problem.
Congestion thresholdRisk crosses in 40 minActualForecast with confidence band

Recommendations

Forecasts become recommended actions that operations teams can trust.

An LLM layer proposes actions.
A deterministic scoring engine verifies every final decision, so outcomes stay explainable and auditable.
LLM LAYERProposes: shiftload to Cell 07SCORING ENGINEDeterministicchecks and scoreVerifiedWhy: forecast risk highEvidence: KPI + topologyLogged for audit
Select a stage to follow a signal from the network to a verified decision. Visuals are illustrative.

Capabilities

QoS NOW92QoS scoreTRAFFIC MIXFORECAST

Live QoS inference

Understand quality of service as it happens.

Traffic classification

See what is driving load across the network.

Congestion forecasting

Predict KPI trajectories and quantify congestion risk.

WHAT-IFTiltPowerLoad shareLLM proposesaction options87resilience✓ Verified decision

Policy simulation and what-if modelling

Test changes before they reach the live network.

Security resilience scoring

Measure how well the network withstands threats.

AI recommendations, verified

An LLM layer proposes actions; a deterministic scoring engine verifies every final decision, so outcomes stay explainable and auditable.

SASESD-WANSD-RANIssue attributed: transport hop

SD-RAN, SD-WAN and SASE intent modelling

One view of intent across radio, WAN and security.

RAN-aware traceroute attribution

Tell radio, transport and upstream issues apart.

Global path intelligence

Combine telemetry, routing signals and edge inference.

Why it matters for GCC operators

Operators in the region are investing heavily in 5G and software-defined networks. Orion Edge gives their teams explainable AI they can trust in a regulated, high-availability environment.

Book an Orion briefing