Sequoia India’s Surge backs healthtech startup RedBrick AI in $4.6M funding

Healthtech startup RedBrick AI has raised $4.6 million in a funding spherical led by Sequoia India and Southeast Asia’s Surge as it plans to broaden the market for its scientific imagery annotations resolution.

Man made intelligence has modified into ubiquitous in scientific prognosis. However researchers need significant of their initial time making ready data for coaching AI programs. The coaching course of also requires hundreds of annotated scientific photos and hundreds of hours of annotation by clinicians. The Delaware-headquartered SaaS startup, which has an Indian subsidiary in Pune, is solving that whisper with its automatic and semi-automatic annotation instruments.

RedBrick AI co-founder and CEO Shivam Sharma said the startup helps draw annotations up to 60% sooner using its configurable workflow machine that works with scientific imagery equivalent to CT scans, X-rays, MRIs and ultrasound.

“We ogle ourselves constructing the foundational layer of man made intelligence in healthcare. In the end, we want to attend teams with all the pieces from the details preparation to FDA clearance of the algorithms,” Sharma said in an interview with TechCrunch.

Based in 2021 by frail SpaceX Hyperloop engineers Sharma and Derek Lukacs (who serves as CTO), RedBrick AI presents truly honest correct annotation instruments that would possibly perhaps even be accessed by a web browser and integrated within possibilities’ existing data storage machine, equivalent to AWS, Google Cloud Platform and Azure. For annotating complex 3D scientific photos, it also has semi-automatic instruments.

Redbrick AI

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RedBrick AI additionally presents APIs that machine finding out engineers can integrate with their cloud alternatives and scientific data retail outlets, at the side of scientific institution venture PACS servers.

“Clinicians correct must log into their browser, and the workflow part of it’s all automatic,” Sharma said.

As soon as wisely annotated, imagery would possibly perhaps even be veteran for sooner and more detailed prognosis. The annotated imagery is seemingly to be veteran by surgical robots and to automate detection of cancers.

RedBrick AI has a seven-member team that’s basically basically basically based mostly in India, though the startup focuses basically on the U.S. and Europe for marketing its instruments. The startup also sees 99% of opponents coming from inaugurate-supply instruments, followed by the in-home ones developed by companies to manage with their explicit requirements.

The early buyer horrible of RedBrick AI contains Germany’s biotech startup Orbem, Canada’s most cancers and disease screening platform Prenuvo, Boston-basically basically based mostly non-profit scientific institution and physician network Mass Accepted Brigham and Maharashtra’s radiology AI platform Deeptek.

The all-equity seed spherical also seen participation from Y Combinator and angel traders. Earlier than this spherical, the startup used to be named amongst Y Combinator’s Chilly climate 2022 cohort that used to be dominated by 32 Indian startups.

Sharma said RedBrick AI plans to utilize the fund to spin previous its most up-to-date buyer horrible and attain enterprises. It also plans to hire novel engineers to broaden the truly honest correct toolset.

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