We offer a suite of synthetic data and vision APIs to help businesses train their machine learning algorithms and improve their AI applications.
1. Build Virtual Worlds
We build photorealistic virtual worlds to closely mimic any real location where our client's services are being used.
Terrain Generations (interior, exterior, rural, urban, mixed)
Weather Conditions (atmospheric effects, extreme scenarios)
Lighting Scenarios (day/night, indoors, outdoors)
2. Create Object Models
We dynamically create variations of objects - different materials, textures, composition - to ensure flexibility and diversity in our synthetic data.
Models of people, animals, vehicles
Model of inanimate objects
Model customization like colors, decals, placement
3. Develop Simulations
We develop simulations that give our clients the ability to control key characteristics, behaviors and functions to get the data they need.
Basic waypoint movements
4. Generate Synthetic Data
We provide fully annotated synthetic data- at scale and error free- that saves time, lowers costs, and can be used to immediately train AI.
2D bounding box
3D bounding box
Semantic/Instance segmentation masks
Keypoint annotations (MPII, COCO)