Jetraw AI

Jetraw AI is a commercial synthetic data generation solution developed by Dotphoton, designed for AI scientists and machine learning teams working with image data. Unlike traditional data augmentation tools or generative machine learning models, Jetraw AI leverages physics-based sensor models to replicate original pixel distributions, producing synthetic images that are both physically accurate and highly realistic. It is particularly well-suited for life sciences, automotive, earth observation, and other domains where high-quality, diverse training data is critical.

The core value proposition of Jetraw AI is its ability to enrich datasets without expensive data acquisition or manual labeling. By starting from a small, high-quality dataset, it generates multiple image-label pairs that simulate a wide range of real-world conditions, helping teams overcome data scarcity and improve model robustness and accuracy across diverse scenarios.

Key Capabilities

• Generates synthetic images that mirror natural pixel distributions using advanced sensor models rather than machine learning or deep learning techniques
• Produces multiple image-label pairs from a single, small, high-quality dataset
• Simulates sensor performance across diverse optical settings, including variations in illumination, camera quality, noise levels, and motion blur
• Preserves the pixel distribution of real image acquisitions while introducing controlled physical variability
• Supports on-the-fly image generation — whenever a real image is loaded, a synthetic counterpart is automatically generated with randomised parameters
• Reduces costs associated with data acquisition and manual annotation
• Enhances model accuracy, normalisation, and robustness across varied imaging conditions

How It Works: 3-Step Workflow

1. Begin with a small, high-quality labelled dataset as the foundation
2. Adjust parameters to simulate various optical settings and conditions, such as illumination changes, camera quality, noise, and motion blur
3. Automatically generate synthetic images representing the desired scenarios and apply them to your model for training

Technical Characteristics

• Physics-based data generation — does not rely on classical machine learning or deep learning models, ensuring realistic outputs without extensive training requirements
• Available as a CPU implementation off-the-shelf for automatic data generation and continuous model training; GPU support is available upon request
• Designed for seamless integration into existing training pipelines and workflows
• Delivered as a custom commercial solution tailored to the specific needs and requirements of each customer

Standards, Partnerships, and Research

• Contributes to image quality standards shaping data-centric AI, including collaboration with the World Health Organization and the International Telecommunication Union
• Supports QUAREP-LiMi, a biomedical image quality standard
• Participates in the Croissant ML dataset documentation format initiative alongside Google, NASA, Harvard, and other organisations
• Dotphoton's research has been published at leading venues including NeurIPS 2024 and the IEEE/CVF Winter Conference on Applications of Computer Vision 2025, covering topics such as standardised dataset documentation, unsupervised segmentation, and image generation

Jetraw AI is a fully commercial product offered by Dotphoton AG. Prospective users can access a free demo and engage directly with the Dotphoton team to discuss requirements, receive a tailored estimate, and integrate a custom-built solution into their existing systems.