Dotphoton

Dotphoton is a Swiss software company specializing in image data management for data-centric AI, serving critical industries including life sciences, automotive, and earth observation. Their solutions address the core challenge of managing the size and cost of high-quality image data — from acquisition and transfer through to storage and machine learning model training. Dotphoton's technology is built around sensor models, enabling lossless-quality raw image compression, efficient data management, and synthetic data generation optimized for AI workflows.

Dotphoton's image processing expertise is trusted by industrial leaders and major research institutions, and the company actively participates in defining international image and data standards alongside organizations such as WHO, the International Telecommunication Union, QUAREP-LiMi (a biomedical image quality standards body), and the Croissant ML dataset format initiative with Google, NASA, Harvard, and others. The European Space Agency has recognized Dotphoton's ability to preserve full image quality at high compression ratios — a capability previously considered impossible without significant information loss.

Core Products

• Jetraw Platform — A multi-storage data management platform designed for research and imaging labs. It enables teams to cut data costs by up to 8x, accelerate data transfers, eliminate data silos and duplication, and access both cloud and local storage through a unified GUI, CLI, or API.
• Jetraw Core — A raw image compression solution aimed at OEMs and Tier 1 suppliers building imaging systems. It delivers raw image quality with high speed, low power consumption, and low latency. It supports higher sensor resolutions without requiring additional bandwidth and is available as a software library or as a hardware design for FPGA integration.
• Jetraw AI — A suite of services and tools for AI and data scientists focused on improving perception systems. It helps reduce costs on data acquisition, minimize manual labelling efforts, and improve model accuracy and robustness. It also provides access to AI-related features within the broader Jetraw ecosystem.
• Rawsie — A compression solution tailored for professional photographers, available as a separate offering.

Key Capabilities

• Raw image compression based on sensor models, preserving full image information at high compression ratios
• Unified data management across cloud and local storage environments, reducing duplication and data silos
• Synthetic data generation to reduce reliance on costly manual data acquisition and labelling
• Hardware-level compression support via FPGA design for embedded and on-device imaging systems
• High-speed, low-latency compression enabling faster data transfers and support for higher-resolution sensors
• AI model robustness and accuracy improvements through optimized training data pipelines

Industries and Standards Involvement

• Life sciences — supporting biomedical imaging quality and data management requirements, aligned with QUAREP-LiMi standards
• Automotive — partnering with Tier 1 suppliers and OEMs, including recognition through the Open Bosch Award 2025 in collaboration with Bosch Cross-Domain Computing Solutions
• Earth observation — trusted by organizations such as the European Space Agency for high-fidelity satellite image compression
• Active contributor to the Croissant ML metadata format for machine-learning-ready datasets, developed alongside Google, NASA, and Harvard
• Participant in WHO and International Telecommunication Union image processing standards initiatives

Research and Publications

• Dotphoton contributes to and publishes research in areas including standardized machine-readable dataset documentation for responsible AI, unsupervised segmentation methods, benchmarking segmentation models on diverse media, high-resolution image generation with foundation models, and the Croissant metadata format (recognized as a Spotlight publication)

Dotphoton AG is headquartered in Switzerland and serves imaging teams across research, industrial, and AI development contexts, offering deployment flexibility through software libraries, hardware designs, APIs, and cloud-integrated platforms.