Build more precise security and defense AI detection systems with synthetic data

Generate all the impossible-to-find data in the real world that your deep learning model needs to perform.
Simulate any scene with pixel-accuracy ground truth to train and validate your deep learning detection system.

People detection
Equipment detection (e.g., face masks, biohazard suits, safety vest, hard hat, safety goggles, gloves, and more)
Detect suspicious behaviors or dangerous situations
Detect unsafe objects
Detect overcrowding areas
Detect accidents on streets or highways
Locate victims, wounded or injured in risky scenarios
Detect accidents and forest fires

Fully customizable scenes (rich database of 3D assets and objects): reproduce any situation unlikely to occur (corner cases)
Avoid privacy issues: recreate synthetically any scene involving people
Automatic objects-of-interest classification, material identification, instance segmentation, and more are generated with every dataset
Customize programmatic variability: ethnicity, objects, interactions, weather, light, textures, and more
Build a trustworthy and consistent AI: physically correct data, automatic annotations, and sensor-specific data
Save time, money, and resources: synthetic data is unlimited, cheaper, and requires less production and preparation time

Hyperspectral accuracy to simulate any terrain.

Simulate the specific camera sensors your system is using in the real world.

Flexibility to build your data generation ecosystem.

Variability to avoid bias in your system.

For massive data generation

Perfect annotations, depth, segmentation, and more.

Discover the most agile, and cost-efficient way to develop your security and defense AI detection systems.