Train AI systems with purpose-built 3D data.

We create high-quality synthetic training data for AI and computer vision, using 3D environments and controlled simulations to generate datasets that can be difficult, expensive, or time-consuming to capture in the real world.

Our workflow uses Blender and 3D production techniques to create controlled environments, objects, characters and scenarios, then generates varied visual data suitable for machine-learning and computer-vision workflows.

What we can create

• Object detection datasets
• Image and video datasets
• 3D synthetic environments
• YOLO training datasets
• Object segmentation data
• Bounding-box annotations
• Pose and keypoint data
• Human and character datasets
• Product and industrial datasets
• Simulated real-world scenarios
• Controlled variations of lighting, camera angles, environments and objects

What makes our approach different

Instead of simply collecting random images, we can build the scene and control the data generation process.

That allows us to systematically vary factors such as:

Object position • Camera angle • Lighting • Scale • Distance • Background • Environment • Occlusion • Object orientation

This makes synthetic data particularly useful when a company needs large quantities of consistent, varied training data or when collecting equivalent real-world data would be difficult.

For companies building AI

Our service can support teams working on:

• Computer vision
• Robotics
• Autonomous systems
• Industrial inspection
• Retail/product recognition
• Security and monitoring systems
• Human pose estimation
• Object detection
• AI research and prototyping

What you can get

Synthetic images • Annotated datasets • YOLO datasets • 3D environments • Detection/segmentation data • Custom AI training scenes • Dataset generation workflows