Healthtech startup RedBrick AI has raised $4.6 million in a funding spherical led by Sequoia India and Southeast Asia’s Surge because it plans to broaden the marketplace for its medical imagery annotations resolution.
Synthetic intelligence has turn into ubiquitous in scientific analysis. However researchers want a lot of their preliminary time making ready knowledge for coaching AI techniques. The coaching course of additionally requires a whole lot of annotated medical photographs and hundreds of hours of annotation by clinicians. The Delaware-headquartered SaaS startup, which has an Indian subsidiary in Pune, is fixing that downside with its automated and semi-automated annotation instruments.
RedBrick AI co-founder and CEO Shivam Sharma mentioned the startup helps make annotations as much as 60% sooner utilizing its configurable workflow system that works with medical imagery akin to CT scans, X-rays, MRIs and ultrasound.
“We see ourselves constructing the foundational layer of synthetic intelligence in healthcare. Sooner or later, we wish to assist groups with every part from the info preparation to FDA clearance of the algorithms,” Sharma mentioned in an interview with TechCrunch.
Based in 2021 by former SpaceX Hyperloop engineers Sharma and Derek Lukacs (who serves as CTO), RedBrick AI presents specialised annotation instruments that may be accessed by means of an internet browser and built-in inside clients’ present knowledge storage system, akin to AWS, Google Cloud Platform and Azure. For annotating advanced 3D medical photographs, it additionally has semi-automated instruments.
RedBrick AI moreover gives APIs that machine studying engineers can combine with their cloud options and scientific knowledge shops, together with hospital enterprise PACS servers.
“Clinicians simply have to log into their browser, and the workflow facet of it’s all automated,” Sharma mentioned.
As soon as appropriately annotated, imagery can be utilized for sooner and extra detailed analysis. The annotated imagery will also be utilized by surgical robots and to automate detection of cancers.
RedBrick AI has a seven-member group that’s largely based mostly in India, although the startup focuses totally on the U.S. and Europe for advertising and marketing its instruments. The startup additionally sees 99% of competitors coming from open-source instruments, adopted by the in-house ones developed by firms to deal with their particular necessities.
The early buyer base of RedBrick AI contains Germany’s biotech startup Orbem, Canada’s most cancers and illness screening platform Prenuvo, Boston-based non-profit hospital and doctor community Mass Normal Brigham and Maharashtra’s radiology AI platform Deeptek.
The all-equity seed spherical additionally noticed participation from Y Combinator and angel buyers. Earlier than this spherical, the startup was named amongst Y Combinator’s Winter 2022 cohort that was dominated by 32 Indian startups.
Sharma mentioned RedBrick AI plans to make the most of the fund to transcend its present buyer base and attain enterprises. It additionally plans to rent new engineers to broaden the specialised toolset.