Geisel Software, an innovator in AI, machine learning, computer vision, and robotics, has launched Symage, a groundbreaking synthetic image data generator designed to transform AI and machine vision training.
Built on Geisel Software's decades of expertise, Symage provides custom 3D photorealistic synthetic image data with pixel-perfect smart labeling, enabling AI models to achieve greater accuracy, efficiency, and scalability—without the constraints of real-world data collection. By eliminating data scarcity, reducing bias, and accelerating model development, Symage empowers industries such as healthcare, robotics, and logistics to build more reliable and robust AI solutions.
Key Benefits of Symage:
- Faster AI Development: Reduces time spent collecting, cleaning, and labeling real-world data.
- Higher Accuracy: Generates bias-free, high-fidelity datasets to improve model precision.
- Eliminates Manual Labeling: Automated pixel-precise annotations speed up training.
- Customizable Data: Simulates a wide range of real-world and edge-case scenarios.
Key Features of Symage:
- Advanced rendering techniques for high-quality, bias-free synthetic image generation.
- Physics-based simulation to create highly realistic training environments, not AI-generated output that creates model degradation.
- Pixel-precise accuracy for superior AI training.
- Automated labeling process, eliminating the need for manual annotation.
- Customizable datasets to address gaps in real-world data availability.
- Physics-based simulation to create highly realistic training environments.
"Symage represents a significant leap forward in AI training," said Brian Geisel, CEO of Geisel Software and Symage, Inc. "By providing AI developers with high-quality synthetic data, we're enabling faster innovation, cost-effective solutions, and greater confidence in model accuracy and reliability."