AI Powered Optical & IP Network Design

Deezygn is an integrated platform powered by artificial intelligence, designed to plan, simulate, and validate optical networks in minutes. In a single environment, it eliminates manual spreadsheets, fragmented workflows, and technical uncertainties, delivering predictable, fast, and data-driven engineering.

Less error. Less rework.

More efficiency in optical network engineering.

Automated Design

From requirements to a complete project, Deezygn automatically designs the network architecture, organizing each optical element into a clear, structured, and technically detailed single-line diagram.

Advanced Simulation Before Deployment

Comprehensive technical validation with simulations of Link Budget, OSNR, Chromatic Dispersion, Q-Factor, BER, optical latency, and multiple channels, reducing risks and ensuring field predictability.

All in One Place

Design, simulation, and validation fully integrated into a single environment, no disconnected spreadsheets – eliminating rework, reducing operational failures, and minimizing human errors in the project.

More than software.

A new way to design networks.

From requirement to project

validated automatically.

Deezygn adapts to different business scenarios, such as telecom operators, ISPs, data centers, integrators, and manufacturers, operating directly at the most critical point of engineering: the design phase.

How It Works in Practice

Parameters are defined such as capacity, distance, number of channels, attenuation, power, and technical thresholds for each network element.

Deezygn automatically generates the complete architecture, allowing adjustments according to the specific needs of the project.

The platform performs advanced technical simulations and validations, anticipating network performance even before the deployment phase.

Competitive advantages of Deezygn

Speed

Complete projects in minutes, not days.

Technical Precision:

Automated calculations drastically reduce human error.

Predictability:

Technical validation before deployment, with advanced simulations.

Investment Optimization:

Avoids overprovisioning and inappropriate hardware choices.

Scalability and Standardization:

Essential for large-scale networks and complex environments.