Healthtech AI platform RedBrick AI announced that it had raised $4.6 million in a seed funding round to accelerate the development and adoption of artificial intelligence in clinical settings through rapid data annotation on medical imagery.
With participation from Y Combinator and angel investors, the round was led by Sequoia India and Southeast Asia’s Surge.
The RedBrick AI SaaS platform provides web annotation tools for 2D and 3D data to enable expert access to specialised tooling from their browsers. The complexity of existing annotation tools, quality control, and machine learning integration are only a few of the problems that its technologies address as being specific to the annotation of medical data.
The platform’s annotation tools are accessible through the browser and can be used without prior training. Additionally, RedBrick AI provides semi-automated tools to annotate complex 3D medical images.
Also, RedBrick has quality control procedures in place to ensure the quality of annotations, which are essential for obtaining regulator certifications for AI algorithms. It includes effective quality control operations on the platform that can aggregate the opinions of multiple clinicians for each annotation case, all while drastically cutting down on project management time.
Shivam Sharma, CEO and co-founder of RedBrick AI, stated, “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.”
