Powering the Healthcare AI Revolution - CARPL is the world's first end-to-end platform for the development, testing, and deployment of medical imaging AI.
Cupertino and New Delhi
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Join us for an upcoming episode of Unboxing AI on Sept 3 with Ashish Atreja, MD, MPH, Co-Founder of GenServe.AI, to explore how this integration works in practice: us06web.zoom.us/webinar/regi…
Together, we are moving radiology AI to a connected, measurable layer across the health system. GenServe’s AI applications will be available through CARPL’s marketplace, leveraging CARPL’s existing integrations, user interfaces, and contracting infrastructure.
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Together, we are moving radiology AI to a connected, measurable layer across the health system. GenServe’s AI applications will be available through CARPL’s marketplace, leveraging CARPL’s existing integrations, user interfaces, and contracting infrastructure.
We are excited to announce our strategic partnership with GenServe.AI, bringing together CARPL - Radiology AI Platform’s vendor-neutral radiology AI infrastructure with GenServe’s 24/7 Voice AI and autonomous care capabilities.
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We are excited to announce our strategic partnership with GenServe.AI, bringing together CARPL - Radiology AI Platform’s vendor-neutral radiology AI infrastructure with GenServe’s 24/7 Voice AI and autonomous care capabilities.
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CARPL retweeted
EarlySignals scores the hottest startups.
Featured: @CARPLai is the control room for radiology AI, one screen where a hospital can test, deploy, and monitor hundreds of imaging algorithms it did not build.
earlysignals.com/weekly/firm…
Founder Vidur Mahajan (@VidurMahajan1) is a radiologist who ran R&D at one of India's largest imaging chains and published more than 100 papers on radiology AI. The validation headaches were his own, so he built an internal tool to fix them and then spun it out.
CARPL plugs 300 plus apps from 100 plus vendors into a hospital's existing imaging systems and tracks how each model drifts after deployment. It carries its own FDA 510(k) clearance and CE mark, which is unusual for software whose job is routing other companies' models. RadNet's DeepHealth and Intelerad are named partners. On July 26 the World Bank's IFC led a $10M Series A, taking total funding to roughly $16M, pointed at emerging-market health systems where radiologist shortages bite hardest.
Revenue and usage numbers stay undisclosed.
Scored 82 on scoop and 78 on potential in our July 27 issue.
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Over 1,000 FDA-cleared radiology AI applications are available today. So why is adoption still so difficult?
Because the challenge more than building AI solutions, is helping hospitals discover the right solutions & validate that they work for their patients and infrastructure..
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and seamlessly integrate them into clinical workflows.
Watch the full conversation below piped.video/watch?v=SOU_38Mq…
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CARPL retweeted
🩺 AI is transforming healthcare—but can hospitals keep up?
@CARPLai has raised $10 M in a Series A round led by the International Finance Corporation, as it looks to scale its AI platform beyond radiology and expand globally.
@VidurMahajan1 joins @Arundathi_Ram to discuss the company's growth plans and the future of AI in healthcare.
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CARPL retweeted
This round unlocks the next chapter. With IFC as a partner, CARPL can deepen its reach across North America, Europe, Asia-Pacific, and emerging markets, and move towards becoming the integration and governance layer for all clinical AI, well beyond radiology.
Every scan that moves safely through CARPL is a patient who reaches the right diagnosis faster.
Read the full story: economictimes.indiatimes.com…
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CARPL retweeted
What the team has built since is remarkable. The platform now hosts more than 300 AI algorithms, works with over 100 partners, and processes around 130,000 patient scans every month.
It is trusted by four of the world's top five private radiology groups, alongside governments in Brazil, Singapore, the UAE, and Spain.
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CARPL retweeted
Carpl.ai has raised a $10M Series A led by @IFC_org, a member of the World Bank Group, with participation from @Stellaris_VP. We backed them in their early days, and we could not be prouder.
Our thesis was simple. Regulators were clearing thousands of radiology AI applications, but hospitals had no single way to evaluate, deploy, and govern them. CARPL set out to be that layer.
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Our #SIIM26 takeaway: some of our most memorable conversations didn't mention AI models at all.
Striking themes for our booth chats were transparency, governance, reporting standards, and how systems communicate with each other.
The future may depend on infrastructure and trust
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We're back in Liverpool as #UKIO2026 is officially underway!
"Let the algorithm master the image, let us master the patient." @DrShahIslam opened the conference with an amazing session, hard to think of a better way to frame what the next three days are about.
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Speaking of which - @VidurMahajan1 from CARPL is on the KLAS Research panel today at 2:00 PM, Hall 1C, Track 4, alongside Monique Rasband (@KLASresearch), Dr. Anjum M. Ahmed (@agfahealthcare_), Saduf Ali Drakesmith (Sanome), Hassan Chaudhury (Vita), and Dr @RogueRad (UPenn).
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The panel will be debating "why so many AI deployments fail and what the ones that scale have in common."If you're here, come find us or book formal time here: shorturl.at/0UWA6
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Why do so many AI deployments fail, and what do the ones that scale have in common?
CARPL’s CEO Vidur from CARPL will be joining a KLAS Research panel at @UKIOCongress 2026 to discuss this question.
If you'll be at UKIO on June 8, join us for the session:
Time: 2:00–3:00 PM
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