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Rapid medical data annotation
RedBrick AI's mission is to accelerate the adoption of artificial intelligence in radiology by building world-class software infrastructure. Currently, we are focused on helping radiology AI teams prepare high-quality datasets to train their algorithms. Radiology data, such as CT and X-ray scans, is an incredibly important source of truth in healthcare delivery. In fact, over 90% of all healthcare data is medical imagery! However, the global radiology workforce is overburdened. In the UK, for example, only 2% of radiology departments are able to fulfill their reporting requirements, and this trend is reflected worldwide. The acute state of radiology, coupled with the abundance of data, makes the use of AI in radiology a prime candidate. In 2022, $5.6 billion was invested in the development of AI in healthcare! However, a key hindrance to further adoption is the lack of sophisticated tools to build and deploy AI algorithms in clinical environments. This is the problem we’re focused on at RedBrick AI We're a team based out of Bangalore India, and USA. We're backed by leading institutional investors like Y Combinator and Peak XV (formerly Sequoia Capital India).
RedBrick AI provides a radiology data annotation platform built to accelerate and scale ground-truth creation for healthcare AI teams. It emphasizes fast, pixel-perfect annotations, integrated viewing of medical images, and workflow tooling to manage annotation at scale while maintaining data control and compliance.
A cloud-based radiology data annotation platform offering: fast auto-annotation and segmentation tools (including a Fast Automated Segmentation Tool powered by Meta AI's SAM), region growing, thresholding, and 3D contouring; an ergonomic 3D viewer for DICOM images with features like MIP and photorealistic rendering; customizable workflows with multi-user collaboration, quality control, and consented review; APIs/SDKs and CLI for programmatic control; native support for medical imagery and compliant data handling with full audit trails and data ownership in the user's environment; seamless integration for import/export, task assignment, and data management across large annotation teams; and a focus on ground-truth generation speed and accuracy.
Who it’s for: Radiology AI teams, medical imaging researchers, and healthcare organizations building or validating AI models for radiology.
mentions of case studies and customers, focus on platform capabilities and compliance; indicates active product development and user adoption
Derek Lukacs is the cofounder and CTO of RedBrick AI and currently spends his time leading the team on improving the RedBrick AI product capabilities and user experience. He holds a Bachelors and Masters in Aerospace Engineering from the University of Michigan where he cofounded the SpaceX Hyperloop pod competition team alongside current Cofounder Shivam Sharma.
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