RedBrick AI
RedBrick AI is a leading SaaS platform designed for annotating medical data, particularly in the field of radiology. The platform offers specialized annotation tools that enable healthcare professionals to generate high-quality training datasets efficiently. With features like pixel-perfect annotations, ergonomic 3D contouring, and advanced collaboration capabilities, RedBrick AI significantly accelerates the annotation process, making it 5 times faster than manual methods. The platform is built to integrate seamlessly with existing data storage systems, ensuring compliance and security while providing a user-friendly experience. RedBrick AI is trusted by innovative startups and established enterprises alike, positioning itself as a key player in the healthcare AI market.
RedBrick AI
RedBrick AI is a leading SaaS platform designed for annotating medical data, particularly in the field of radiology. The platform offers specialized annotation tools that enable healthcare professionals to generate high-quality training datasets efficiently. With features like pixel-perfect annotations, ergonomic 3D contouring, and advanced collaboration capabilities, RedBrick AI significantly accelerates the annotation process, making it 5 times faster than manual methods. The platform is built to integrate seamlessly with existing data storage systems, ensuring compliance and security while providing a user-friendly experience. RedBrick AI is trusted by innovative startups and established enterprises alike, positioning itself as a key player in the healthcare AI market.
TL;DR
Product: Web-based radiology/medical imaging annotation platform for 2D/3D data with in-browser DICOM viewing
Founders: Shivam Sharma (CEO) and Derek Lukacs (CTO)
Funding: $4.6M seed led by Sequoia India & Southeast Asia’s Surge (Nov 2022); total disclosed funding $5,110,000
Headquarters / Presence: Described as Delaware-headquartered with an India presence in Pune
Team size: Approximately 18 employees
Company Overview
Problem Domain
Creation of ground-truth medical imaging datasets and radiology data annotation for healthcare AI development.
Industry
Healthcare AI / Medical imaging annotation
Tech Stack
Funding Track Record
4600000.00
Reported participants included Y Combinator and angel investors.
Latest funding date shown in third-party profile data; amount and lead investor details not specified in accessible evidence.
Investor Signal
“Seed round led by Sequoia India & Southeast Asia’s Surge with participation from Y Combinator and angel investors; third‑party profiles also list Peak XV among investors.”