RedBrick AI Company Research Report
1. Company Overview
Name
RedBrick AI
Mission
Improve the efficiency and quality of medical data annotation by providing advanced tools and workflows tailored for radiology AI.
Founded
No information is available.
Founders
No information is available.
Key People
- Jean-François Weissman: Cloud Solutions Architect
- Dr. James Ryan Mason: Neuroradiology Consultant
- Ritvik Jain: Product Manager
- Shivam Sharma: Noted in discussions but role unspecified
Headquarters
No information is available.
Number of Employees
No information is available.
Revenue
No information is available.
Known For
RedBrick AI is known for its:
- Leading data annotation platform tailored for radiology AI
- Expertise in enhancing the efficiency of AI model development by streamlining the annotation process
- Collaborative and ergonomic annotation tools for medical imagery
2. Products
High-level Product Overview
RedBrick AI provides advanced web-based annotation tools specifically designed for medical imaging (CTs, MRIs, X-rays) which include project management and quality control features.
Key Products and Features
Annotation Tools
- Pixel-perfect Annotations: Advanced tools like region growing, thresholding, island removal, Boolean operations.
- Faster Segmentation with AI: Utilizes Meta AI's SAM for semi-automated segmentation.
- Ergonomic 3D Contouring: Tools for 2D annotations and 3D interpolation.
Viewing Tools
- DICOM Viewing: Medical images and data available on browser.
- 3D Viewing Experience: Advanced features like MIP, oblique planes, and photorealistic rendering.
- Rapid Loading: Quick interaction with intelligent caching and lazy loading.
Collaboration and Workflow Management
- Quality Control: Workflows with multi-step review and consensus.
- User Management: Task assignments and scalability from 2 to 200 annotators.
- Annotation Errors Detection: Real-time custom validation checks.
Customization and Integration
- Workflow Adaptation: Customizable shortcuts and layouts.
- Medical Imagery Support: Native support for medical imagery formats.
Security and Compliance
- Data Ownership: Total ownership of patient and annotation data.
- API Control: Manage import/export and other tasks via SDK and CLI.
- Compliance: Support for FDA and CE clinical validation studies.
3. Recent Developments
New Products and Features
- Fast Automated Segmentation Tool (F.A.S.T.)
- Powered by Meta AI's Segment Anything Model.
- Semi-automatically segments structures in radiology scans.
Platform Updates
2024
- August 2024
- Major release with several new features based on customer feedback.
- July 2024
- Overview of Q2 features and optimizations.
- April 2024
- Extensive changes previewed.
2023
- December 2023
- Beta release of "Cohort Creation," extensive search and filter capabilities.
- November 2023
- RSNA 2023 presence, Annotation Version Explorer, Semantic Segmentation Export.
- October 2023
- Attendance at BioTech X conference and annotation reference standards updates.
- September 2023
- Quick image and segmentation visualization with Preview Mode.
- August 2023
- Privacy Policy updates, F.A.S.T. updates, annotation version history.
- July 2023
- Cinematic 3D Visualization, Custom Meta-Data, new features for 3D visualization, SAML and Google-based Single Sign-On.
New Partnerships
- Annalise.ai: Enhanced imaging analysis capabilities by partnering with the Australian healthcare technology company and I-MED Radiology Network.
- RapidAI: Collaboration on various projects including stroke and cardiovascular annotation.
- Qure AI: Support in building high-performance deep learning algorithms for radiology, facilitating better healthcare accessibility and affordability.
Key Client Quotes
- Jean-François Weissman: "Our process has improved significantly, and our overall annotation loop is much faster thanks to a platform that helps you with the entire annotation cycle."
- Dr. James Ryan Mason: "Segmentation tools like that of RedBrick AI are not found in any other cloud software."
- Ritvik Jain: "All of our processes and workflows improved due to RedBrick AI."
This report is compiled based on the provided data and any fields with no available information were marked accordingly to maintain the report's accuracy and completeness.
