// Cignal Engine

The Cignal engine is an interactive 3D environment for creating high-fidelity synthetic images of prohibited items, explosives, and stream of commerce items. Cignal Engine is the multi-modal data generation engine for OpenLane.

Fast, Accurate Image Generation

The Cignal Engine is a high-performance rendering engine that generates high-fidelity synthetic images for X-ray, X-ray CT, and Millimeter Wave imaging systems.

Improve Detection

Improve the accuracy and coverage of AI-based detection systems.

Visualize Novel Threats

Analyze and explore detailed digital twins of real-world threats.

Adapt Faster

Develop models that reflect rapidly changing and emerging threats.

Critical Sectors

The Cignal Engine is designed to support the unique needs of critical sector enterprises.

Homeland Security

85% of security practitioners attribute increased cyber attacks to GenAI

-Deep Instinct 2023 report

Resources

Building an AI Testing Workflow in Cignal Nodegraph

In this demonstration, Justin Tornetta shows how to use the Cignal Sandbox to build a simple testing workflow to find problems in AI systems.

Drag and Drop RAG: Instantly Improve any LLM

In this demonstration, Kenneth Brown shows how to use drag-and-drop RAG to improve LLM stability and performance.

Cignal Tutorial: Building cyber workflows to evaluate false alarm rates

In this demonstration, Justin Tornetta shows the Node Graph system within Cignal Platform to test cyber security LLMs.