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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 develop the marketplace for its medical imagery annotations resolution.
Synthetic intelligence has develop into ubiquitous in medical prognosis. However researchers want a lot of their preliminary time making ready information for coaching AI programs. The coaching course of additionally requires lots of of annotated medical pictures 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% quicker utilizing its configurable workflow system that works with medical imagery corresponding 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 the whole lot 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 provides specialised annotation instruments that may be accessed by an online browser and built-in inside prospects’ current information storage system, corresponding to AWS, Google Cloud Platform and Azure. For annotating advanced 3D medical pictures, it additionally has semi-automated instruments.
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RedBrick AI moreover gives APIs that machine studying engineers can combine with their cloud options and medical information 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 accurately annotated, imagery can be utilized for quicker and extra detailed prognosis. The annotated imagery will also be utilized by surgical robots and to automate detection of cancers.
RedBrick AI has a seven-member staff that’s principally based mostly in India, although the startup focuses totally on the U.S. and Europe for advertising 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 Basic Brigham and Maharashtra’s radiology AI platform Deeptek.
The all-equity seed spherical additionally noticed participation from Y Combinator and angel traders. 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 develop the specialised toolset.
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