RedBrick AI

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).

High-Level Overview

RedBrick AI is a healthcare technology startup specializing in rapid and collaborative medical data annotation, primarily for radiology AI teams. Their SaaS platform provides advanced, web-based tools to annotate medical imaging data such as CT scans, MRIs, and X-rays with pixel-perfect precision, significantly accelerating the data preparation process for AI algorithm training. The platform supports robust quality control workflows, seamless collaboration among annotators, and secure management of medical images, serving radiology AI developers and healthcare professionals who need high-quality labeled datasets to build and validate AI models. RedBrick AI’s solution addresses the critical bottleneck in healthcare AI development: the lack of efficient, scalable annotation tools for complex medical imaging data. The company has demonstrated growth momentum, backed by institutional investors including Y Combinator and Peak XV, and has raised over $4.6 million in funding[1][2][3][4][5].

Origin Story

Founded in 2020 by Derek Lukacs and Shivam Sharma, both with strong technical backgrounds including aerospace engineering and experience in high-tech projects like the SpaceX Hyperloop pod competition, RedBrick AI emerged from the need to accelerate AI adoption in radiology by building world-class software infrastructure. The founders recognized that while billions were invested in healthcare AI, progress was hindered by inadequate tools for preparing and annotating medical imaging data. Early traction came from partnerships with leading radiology AI teams and clinical validation studies, establishing RedBrick AI as a critical enabler for AI development in healthcare[3][4].

Core Differentiators

• Product Differentiators: RedBrick AI offers pixel-perfect annotation tools with features like region growing, thresholding, Boolean operations, and ergonomic 3D contouring, enabling faster and more accurate segmentation workflows than traditional manual methods.
• Speed and Efficiency: The platform enables up to 5x faster ground truth generation compared to manual annotation, significantly reducing AI development cycles.
• Developer Experience: Web-based access with APIs, SDKs, and CLI tools allow seamless integration into existing workflows and full control over annotation processes.
• Quality Control: Robust project management and quality assurance features ensure high data integrity, essential for clinical validation and regulatory compliance.
• Data Security: Supports integration with user-controlled storage solutions, maintaining patient data ownership and compliance with healthcare regulations.
• Community Ecosystem: Used by leading radiology AI developers and integrated into FDA and CE clinical validation studies, fostering a trusted ecosystem for healthcare AI innovation[1][2][5].

Role in the Broader Tech Landscape

RedBrick AI rides the accelerating trend of AI adoption in healthcare, particularly in radiology, where high-quality annotated imaging data is crucial for training reliable AI models. The timing is critical as the healthcare industry increasingly demands AI solutions that are clinically validated and compliant with regulatory standards. Market forces such as the surge in healthcare AI investments (over $5 billion in 2022) and the growing complexity of medical imaging data create a strong demand for sophisticated annotation tools. By enabling faster, more accurate data labeling, RedBrick AI helps overcome a major bottleneck in AI development, thereby influencing the broader ecosystem by accelerating innovation cycles and facilitating the deployment of AI in clinical environments[3][5].

Quick Take & Future Outlook

Looking ahead, RedBrick AI is well-positioned to expand its influence as healthcare AI continues to grow and regulatory scrutiny intensifies. Future trends shaping their journey include increased automation in annotation workflows, integration of advanced AI-assisted segmentation tools, and broader adoption across diverse medical imaging modalities. Their platform’s ability to scale and maintain compliance will be key to capturing more market share and supporting clinical validation efforts globally. As AI becomes integral to healthcare delivery, RedBrick AI’s role as a foundational infrastructure provider will likely deepen, making it a critical enabler of next-generation medical AI solutions[5].