Insights

Marketplace scale CARPL.ai positions itself as the world's largest radiology AI marketplace, with a vendor-neutral platform housing hundreds of AI apps from dozens of vendors and a single UI, data channel, and procurement channel for testing, deployment, and monitoring. This enables health systems to standardize AI procurement, accelerate evaluations, and reduce integration friction, representing a strong upsell opportunity to hospitals looking to consolidate AI vendors and governance under one roof.

Interoperability strength The platform integrates with leading PACS and imaging environments (Philips, Agfa HealthCare, Paxera Health, DeepHealth, Intelerad, Ramsoft, among others) and has NHS teleradiology collaboration with Medica. This interoperability is a key differentiator for enterprise sales, enabling multi-site, multi-vendor AI deployments without bespoke integrations and opening doors with large health systems and public networks.

Validation partnerships Strategic partnerships with Enlitic and DeepHealth for accelerated AI validation, ongoing collaborations like Vesta, and NHS projects signal a robust ecosystem for third-party AI validation and trust-building with buyers, enabling faster procurement and deployment cycles. Position as co-sell and co-validation leverage for sales teams.

Security posture Security and compliance are prioritized with ISO/IEC 27001 certification and practices such as HSTS and secure data channels, which align with procurement requirements for hospitals and government-related health programs. Use this to target compliance-focused buyers and RFPs that demand strong governance and data protection.

Growth signals With revenue in the lower mid-range and a funding round, CARPL.ai is positioned to scale its marketplace and ecosystem as AI adoption in radiology grows, offering expansion opportunities to hospitals, NHS trusts, and rural providers through its vendor network and deployment services, while enabling upsells of validation, monitoring, and managed integration.

CARPL - Radiology AI Platform Tech Stack

CARPL - Radiology AI Platform uses 8 technology products and services including LinkedIn Recruiter, jQuery CDN, Continuous Delivery, and more. Explore CARPL - Radiology AI Platform's tech stack below.

  • LinkedIn Recruiter
    Applicant Tracking Systems
  • jQuery CDN
    Content Delivery Network
  • Continuous Delivery
    Continuous Integration
  • Selenium
    Frameworks And Libraries
  • Redux
    Javascript Frameworks
  • Office 365
    Office Suites
  • Yoast SEO
    Search Engines
  • FastAPI
    Web Frameworks

Media & News

CARPL - Radiology AI Platform's Email Address Formats

CARPL - Radiology AI Platform uses at least 1 format(s):
CARPL - Radiology AI Platform Email FormatsExamplePercentage
First.Last@carpl.aiJohn.Doe@carpl.ai
100%

Frequently Asked Questions

What is CARPL - Radiology AI Platform's official website and social media links?

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CARPL - Radiology AI Platform's official website is carpl.ai and has social profiles on LinkedInCrunchbase.

What is CARPL - Radiology AI Platform's NAICS code?

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CARPL - Radiology AI Platform's NAICS code is 62 - Health Care and Social Assistance.

How many employees does CARPL - Radiology AI Platform have currently?

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As of July 2026, CARPL - Radiology AI Platform has approximately 82 employees across 4 continents, including AsiaNorth AmericaOceania. Key team members include Chief Operating Officer & Ai Matchmaker: D. S.Chief Of Staff: A. A.Vice President Of Technology: M. K.. Explore CARPL - Radiology AI Platform's employee directory with LeadIQ.

What industry does CARPL - Radiology AI Platform belong to?

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CARPL - Radiology AI Platform operates in the Hospitals and Health Care industry.

What technology does CARPL - Radiology AI Platform use?

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CARPL - Radiology AI Platform's tech stack includes LinkedIn RecruiterjQuery CDNContinuous DeliverySeleniumReduxOffice 365Yoast SEOFastAPI.

What is CARPL - Radiology AI Platform's email format?

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CARPL - Radiology AI Platform's email format typically follows the pattern of First.Last@carpl.ai. Find more CARPL - Radiology AI Platform email formats with LeadIQ.

How much funding has CARPL - Radiology AI Platform raised to date?

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As of July 2026, CARPL - Radiology AI Platform has raised $6M in funding. The last funding round occurred on Feb 01, 2024 for $6M.

When was CARPL - Radiology AI Platform founded?

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CARPL - Radiology AI Platform was founded in 2018.
CARPL - Radiology AI Platform logo

CARPL - Radiology AI Platform

Hospitals and Health CareCalifornia, United States51-200 Employees

CARPL.ai is a vendor-neutral platform in the Hospitals and Health Care sector that enables radiologists to access, evaluate, and integrate radiology AI tools within their clinical workflows. The platform provides a single user interface, a single data channel, and a single procurement channel for testing, deployment, and monitoring of AI solutions in radiology. Based in Cupertino, California, the company has 51-200 employees. CARPL.ai is described as the world’s largest radiology AI marketplace, offering more than 250 applications from over 95 AI vendors. Recent activity includes integrations with leading PACS systems from providers such as Philips, Agfa HealthCare, Paxera Health, DeepHealth, Intelerad, and Ramsoft, and partnerships with Enlitic and Medica for NHS teleradiology projects.

Section iconCompany Overview

Website
carpl.ai
NAICS Code
62 - Health Care and Social Assistance
Founded
2018
Employees
51-200

Section iconFunding & Financials

  • $6M

    CARPL - Radiology AI Platform has raised a total of $6M of funding over 1 rounds. Their latest funding round was raised on Feb 01, 2024 in the amount of $6Mas a seed.

  • $1M$10M

    CARPL - Radiology AI Platform's revenue is estimated to be in the range of $1M$10M

Section iconFunding & Financials

  • $6M

    CARPL - Radiology AI Platform has raised a total of $6M of funding over 1 rounds. Their latest funding round was raised on Feb 01, 2024 in the amount of $6Mas a seed.

  • $1M$10M

    CARPL - Radiology AI Platform's revenue is estimated to be in the range of $1M$10M

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