Healthtech AI platform RedBrick AI raised $4.6 million in a seed funding round led by Sequoia India and Southeast Asia’s Surge along with Y Combinator and angels. The fund will be used to accelerate the development and adoption of artificial intelligence (AI) in clinical settings by rapid data annotation on medical imagery.
“With the rapid growth of artificial intelligence in clinical settings, researchers need excellent tools to build high-quality datasets and models at scale. Our customers are in the vanguard of this growth, pioneering everything from surgical robots to automated detection of cancers. The new funds will be integral to the growth of our engineering team in India and to expand our suite of products. We’re incredibly excited to be powering the next generation of researchers in building AI for clinical settings,” said RedBrick AI CEO and co-founder Shivam Sharma.
RedBrick AI aims to build the foundation of healthcare artificial intelligence with its medical data annotation tools for imagery. Medical imagery is very important when it comes to diagnosing patients. AI systems can help make the process faster and more accurate. This can be especially helpful in understaffed clinics. The use of AI in healthcare will make a big difference in how patients are treated.
Researchers will be able to use medical images to train AI systems only if they are cleaned and expertly annotated. To train an AI system, hundreds of annotated medical images are required which is hugely time-consuming for clinicians.
RedBrick AI SaaS helps clinicians by offering web annotation tools for 2D and 3D data. These tools allow experts to access specialized tooling from their browsers. The platform addresses several challenges faced during annotating medical data, like the complexity of existing annotation tools, quality control, and machine learning integration.
RedBrick AI’s annotation tools can be accessed through a web browser and don’t require any prior training. The platform also offers semi-automated tools for annotating complex 3D medical images. RedBrick has quality control processes in place to make sure the annotations are of high quality. This is crucial for meeting regulatory requirements. The platform has efficient workflows that allow several clinicians to give their opinion on each annotation case. It also reduces the time spent on project management.
