RedBrick AI

What RedBrick AI does

RedBrick AI provides a platform for teams building medical imaging AI to create high-quality training datasets. It offers high-performance web tools for annotating medical datasets, including CT, MRI, and Ultrasound scans. The platform includes configurable quality control workflows, APIs, and a CLI for MLOps integration. It emphasizes speed, pixel-perfect annotations, ergonomic 3D contouring, and a superior DICOM viewing experience. RedBrick AI is designed for collaborative annotation, offering tools for multi-step review, consensus, real-time error detection, and deep search for dataset selection. It ensures total control over data, allowing users to store images and annotations in their own infrastructure while maintaining compliance.

Key capabilities

• High-performance web tools for medical dataset annotation
• Configurable quality control workflows
• APIs and CLI for MLOps integration
• 5x faster than manual annotation
• Pixel-perfect annotations (region growing, thresholding, island removal, Boolean operations)
• Fast Automated Segmentation Tool powered by Meta AI's SAM
• Ergonomic 3D contouring for 2D annotations and 3D interpolation
• Best viewing experience for DICOM
• Real 3D viewing experience (MIP, oblique planes, photorealistic rendering)
• Rapid loading for large 3D studies
• User-friendly annotation tool with shortcuts and customizations
• Native support for medical imagery formats
• Customizable viewer layouts with automatic hanging protocols
• Multi-step review and consensus for quality control
• Seamless user management and task assignment
• Real-time annotation error detection with custom validation checks
• Deep search and filtering for dataset selection
• Overview statistics of DICOM tags and metadata analytics
• Total ownership of patient and annotation data
• Full audit trails of workflows
• Support for clinical validation workflows
• Secure integration with any storage provider

Use cases

• Building high quality training datasets for medical imaging AI
• Annotating medical datasets (CT, MRI, Ultrasound scans)
• Quality control in data annotation
• Integrating with MLOps workflows
• Collaborative annotation efforts
• Selecting high quality and balanced datasets
• FDA and CE clinical validation studies

AI approach

RedBrick AI provides a platform for medical imaging AI development, focusing on high-performance web tools for annotating medical datasets. It uses AI-powered features like the Fast Automated Segmentation Tool (powered by Meta AI's SAM) to accelerate the annotation process. The platform supports various medical image formats and offers tools for quality control and workflow management.

Tech named: Meta AI's SAM, APIs, CLI, SDK, MLOps

Industries served

• Healthcare
• Software Development

What it says sets it apart

• Specifically designed and built for radiology AI
• Offers segmentation tools not found in other cloud software
• Combines technicality of traditional annotation software with user experience of clinical radiology viewers
• Provides total control over data, with images and annotations stored in user's infrastructure
• Ensures data privacy and security by not accessing or capturing user data
• Supports compliant environments for AI development
• Faster annotation process (60% faster ground truth generation, 5x faster than manual annotation)

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.