raises $6M from Stellaris Venture Partners raises $6M from Stellaris Venture Partners


We are excited to announce the seed funding round of $6M led by Stellaris Venture Partners, a leading enterprise software investor, with participation from leading strategic angel investors. Our heartfelt gratitude to all those who’ve been part of this incredible journey! We look forward to expanding the team in North America and continuing to build our tech stack. is used by the world’s top healthcare organizations like the Singapore Government, Massachusetts General Hospital, Radiology Partners, University Hospitals, I-MED Radiology, Albert Einstein Hospital, and Clinton Health Access Initiative, to name a few.

We are also creating an impact in the public health space by working with the Government of India to enable large-scale Tuberculosis Screening Programmes in the most remote regions of the country.

“Over the past two years, we have onboarded more than 50 AI developers having 100+ AI applications, which made us the largest AI marketplace in terms of number of AI applications offered to customers. We are proud that some of the largest healthcare enterprises in the world have vetted our technology and trust us to be their partner in their AI and automation journeys,” said Dr. Vidur Mahajan, Chief Executive Officer of

A recent joint statement by the world’s top radiology associations also brings to light the importance of validation, deployment and monitoring of AI while being used in clinical practice. We address this need through our proprietary DEV-D framework allowing healthcare providers to first Discover (D), Explore (E) and Validate (V) AI applications from the marketplace, and subsequently Deploy (D) the most appropriate application across their clinical workflows.

Alok Goyal, a partner at Stellaris Venture Partners, says new technology in radiology is badly needed. “The volume of imaging scans shows a steady 9% year-on-year growth, outpacing the 1.8% growth in the number of radiologists; bridging this demand gap is a crucial challenge for healthcare providers, and we believe AI will be the key,” he says. “CARPL’s integrated platform, designed for testing, deploying, and monitoring radiology AI applications, is poised to empower healthcare providers by seamlessly integrating AI into their clinical workflows.”

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University Hospitals uses as the AI validation and deployment partner

University Hospitals Uses CARPL.Ai As The AI Validation And Deployment Partner x UH RadiCLE is proud to announce that the University Hospitals Department of Radiology has signed a multi-year strategic agreement with as the AI validation and deployment partner for the UH RadiCLE AI Lab, RadiCLE – UH Radiology A.I. and Diagnostic Innovation Collaborative.

CARPL\’s D.E.V.-D framework – Discovery, Exploration, Validation & Deployment – allows UH Radiology Innovation team to quickly access, assess and integrate AI solutions from all over the world in the RadiCLE ecosystem.

This relationship will enhance UH\’s current capabilities to assess 3rd party AI, provide a structured approach to offer validation services toward attaining FDA clearance, and become a central repository of curated datasets for AI creation.

“We are excited to have as a platform for executing our projects in developing, validating, integrating and assessing radiology AI solutions at UH RadiCLE.” – Leonardo Kayat Bittencourt, MD PhD, Director of RadiCLE and Vice-Chair of Innovation at UH Radiology. has partnered with NTT DATA for the US market

CARPL.Ai Has Partnered With NTT DATA For The US Market x NTT DATA is delighted to announce our partnership with NTT DATA, for the US market!

Through this partnership, we seek to accelerate the deployment of AI at scale across provider and life sciences clinical imaging domains in the US.

NTT DATA’s Advocate AI services empower’s users to leverage data assets and enable improved data insights for a tailored, data-driven approach to providing value-based care and achieving positive patient outcomes.

By using CARPL’s cutting-edge platform, healthcare providers can seamlessly explore, discover, validate and deploy single or multiple AI solutions across their workflows.