The new funding will be channelled into expanding the company’s suite of specialised tooling and to grow its customer base
Health-tech AI platform RedBrick AI has announced a $4.6 million seed funding round to accelerate the development and adoption of artificial intelligence in clinical settings, through rapid data annotation on medical imagery. The round was led by Surge, Sequoia Capital India, and Southeast Asia’s rapid scale-up programme, with participation from Y Combinator and angels.
Medical imagery is an essential source of truth in clinical diagnosis and comprises about 90 per cent of all healthcare data. AI systems can dramatically shorten the time to diagnosis, improve clinician productivity by triaging high-importance cases, and act as the first line of defence in under-staffed clinical environments.
RedBrick AI is thus laser-focussed on solving the first key challenge to healthcare AI adoption – providing clinicians with high-quality data annotation tools that accelerate the preparation of training datasets.
Shivam Sharma, CEO and co-founder, RedBrick AI commented, “Working with leading healthcare AI teams over the past year has been an incredible journey and learning opportunity. 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. We are incredibly excited to use the funds we’ve raised to power the next generation of researchers in building AI for clinical settings.”