GreenMatterAI
Next Generation Vision Intelligence
Accelerate the development of your AI-based perception system with synthetic data, custom web-services and advanced analytics.
GMAI Vision Intelligence
Green MatterAI technology leverages custom procedural modeling with state-of-the-art rendering to generate large-scale datasets to revolutionize the training of artifical intelligence and deep learning algorithms. Neural networks trained with synthetic data generate production-ready performance for all tasks in agriculture, ranging from plant counting, disease and pest detection, to self-driving and automation. Synthetic data can be generated independently of growth-cycles, provides higher-quality lables, and has a low cost footprint.
Synthetic Data
Custom data solutions to enable the development of your vision stack.
Web-based Rendering
Easy to configure high-performance rendering technology at your fingertips to generate the data you need.
AI Models for Perception
State-of-the-art neural networks for solving your perception tasks.
Advanced Analytics
Understand your data with advanced data analytics tools.
Edge Device Support
Get the tools you need to deploy your perception models in the field.
Pixel-precise and Error-free Labels
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Semantic Segmentation
Pixel-precise semantic segmentation masks for plant and ground features.
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Instance Masks
Masks of individual plant instances, leaves, branches, fruits, or flowers.
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Bounding Boxes
Bounding boxes of any object in a scene: plants, obstacles, and machinery.
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NIR and Multi-Spectral
Dense annotations for near-infrared and multi-spectral signals for plants.
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Depth
Disparity and depth annotations for various capturing modes, including tractor, drone, hand-held.
Web-based Rendering
Design your own data: cloud-based rendering of large-scale datasets with any label in only a few clicks.
