RedBrick AI
RedBrick AI provides a browser-based radiology data annotation platform that helps AI teams generate ground truth data 60% faster. The platform features pixel-perfect annotation tools, AI-assisted segmentation powered by Meta AI's SAM, and real 3D DICOM viewing with MIP and photorealistic rendering. It supports quality control workflows, custom validation checks, and API-driven control for compliant AI development.
- Healthcare Technology
- Artificial Intelligence
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Radiology AI development requires large volumes of precisely annotated medical images, but traditional annotation tools are slow, lack ergonomic 3D capabilities, and struggle to handle large DICOM studies. This creates a bottleneck in generating high-quality ground truth data, delaying the development and validation of medical imaging AI models.
Solution
RedBrick AI provides a leading radiology data annotation platform that enables teams to generate ground truth 60% faster. The platform offers pixel-perfect annotation tools including region growing, thresholding, island removal, and Boolean operations, alongside a Fast Automated Segmentation Tool powered by Meta AI's SAM. It features ergonomic 3D contouring for 2D annotations and edits with 3D interpolation, and delivers the best viewing experience for DICOM with real 3D rendering, MIP, oblique planes, and photorealistic rendering. Data is intelligently cached and loaded lazily for rapid first interaction, even with large 3D studies, and the entire platform is accessible from anywhere via a browser. The platform also includes quality control workflows with multi-step review and consensus, custom validation checks run in the browser, and deep search and filtering with DICOM tag statistics.
Target Audience
Primary customers are leaders in radiology AI who need to generate ground truth data for medical imaging models, including AI development teams, cloud solutions architects, and radiology professionals such as neuroradiology consultants and chief medical officers.
Features
- Pixel-perfect annotation tools including region growing, thresholding, island removal, and Boolean operations
- Fast Automated Segmentation Tool powered by Meta AI's SAM for AI-assisted segmentation
- Ergonomic 3D contouring tool supporting 2D annotations, edits, and 3D interpolation
- Real 3D DICOM viewing experience with MIP, oblique planes, and photorealistic rendering
- Rapid loading for large 3D studies through intelligent caching and lazy loading
- Quality control workflows with multi-step review, consensus, and custom validation checks run in the browser
- Deep search and filtering with overview statistics of DICOM tags and metadata analytics
- SDK and CLI for import, export, assignment, and search, with support for customer-managed storage
- Full audit trails for FDA and CE clinical validation studies