CUPERTINO,
California – October 7, 2026 – CARPL.ai, the world's largest radiology AI
marketplace and enterprise imaging AI platform, today announced a partnership
with HOPPR, a company transforming how AI is
developed for medical imaging. The collaboration gives healthcare
providers access to HOPPR's foundation models to securely develop, fine-tune,
and deploy custom radiology AI applications through the CARPL platform.
Building
these tailored models has traditionally required massive computational
resources, large proprietary datasets, and significant technical overhead. This
partnership removes those barriers. Radiology teams can now leverage HOPPR's
advanced vision and language foundation models as a starting point. Using their
own local imaging data or curated reference datasets, they can securely
fine-tune applications such as automated report generation, ensuring outputs
align with institutional terminology, reporting styles, and clinical
requirements.
The result
is a seamless path from model training to deployment. These applications
integrate directly into the CARPL platform, where healthcare providers can
validate, deploy, and monitor them within their existing PACS infrastructure,
without disrupting workflows.
"As we
help some of the world's largest radiology groups and academic medical centers
adopt AI, a new need emerged - a need to build and fine-tune their own AI
models, using their own data based on their own use case. This partnership will
now fast-track that," said Vidur Mahajan, CEO at CARPL.ai. "HOPPR is
quickly becoming the undisputed leader in the foundational AI space for
radiology, and we are thrilled to offer them through our platform."
"Accessing and curating
millions of imaging studies to build AI models is time-consuming, expensive and
difficult to scale. HOPPR’s foundation models give radiologists and AI
developers a starting point to build their own models using a fraction of the
data they would otherwise need,” said Dr. Khan Siddiqui, Co-Founder, Chairman
& CEO at HOPPR. “Our partnership with CARPL connects that development
process to clinical deployment, giving healthcare providers a single platform
to procure, integrate, and use AI models built on HOPPR’s platform."
Looking ahead, CARPL.ai and HOPPR plan to expand
capabilities across a wider variety of imaging modalities. The companies will
also leverage CARPL's post-market surveillance tools to continuously monitor
model performance, ensuring they remain accurate and consistent over time.
About HOPPR
Founded in 2019, HOPPR brings together experts in
clinical radiology, AI development, and healthcare commercialization to advance
the development of transparent and scalable AI for medical imaging. The HOPPR®
AI Foundry is a secure development platform designed for building, fine-tuning,
validating, and hosting AI models for medical imaging. The platform provides
curated datasets, traceable development workflows, and secure infrastructure
that support responsible AI development aligned with industry quality and
regulatory standards. HOPPR™ AI Foundry holds SOC 2 Type II attestation and
HITRUST e1 Certification and is HIPAA-compliant. HOPPR also offers Forward
Deployed Services, embedding HOPPR's machine learning scientists, software
engineers, data scientists, and clinical experts directly within your team to
accelerate development at every stage. For more information, visit www.hoppr.ai.
About CARPL.ai
CARPL.ai is an end-to-end enterprise imaging AI platform, and the world’s
largest radiology AI marketplace offering 300+ applications from 100+ AI
Partners. With regulatory clearances across multiple regions including the FDA,
CE, ANVISA, TGA, and HSA, CARPL.ai enables radiologists and researchers to
easily access, assess, and integrate radiology AI applications into their
clinical practice. CARPL.ai provides a single user interface, a single data
channel, and a single procurement channel for the testing, deployment, and
monitoring of AI applications in clinical radiology workflows. The CARPL.ai
platform is used by four out of the world’s top five radiology groups, and
integrates with leading PACS systems, including Philips, AGFA HealthCare,
DeepHealth, Intelerad, RamSoft, and Paxera Health, ensuring seamless
interoperability across imaging environments. Learn more at www.carpl.ai.