Radium

San Francisco, CA, United States (for radium.cloud); Paris, France, and Silicon Valley, California (for raidium.eu); Short Hills, NJ, United States (for radium-ai.io) All United States companies → — Founded 2019 (for radium.cloud); 2022 (for raidium.eu); 2022 (for radium-ai.io)

Imaging AI Specialist Specialty-Focused AI

Radiology

Clinical Decision Support & Reference Radiology & Imaging AI

Later Stage VC (for radium.cloud); Seed (for raidium.eu); Unfunded (for radium-ai.io, as of May 2026) — $4.7M (for radium.cloud); $13M (Seed funding for raidium.eu); $16.9M (Seed funding for raidium.eu); $100K (for radium.cloud, a recent round)

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Products

Radium

Clinical Decision Support & Reference

Radium Read is an AI tool that provides a second read for chest X-rays to assist radiologists in improving diagnostic accuracy and efficiency.

Per-token basis, varies by model tier (hal, clarke, tycho) and by input and output tokens.

See all 1 product →

About Radium

Radium AI is an artificial intelligence company focused on transforming radiology workflows and improving patient care through advanced AI solutions. Their platform aims to enhance the efficiency and accuracy of radiologists by automating repetitive tasks, prioritizing critical cases, and providing comprehensive insights from medical images. Radium AI’s technology is designed to integrate seamlessly into existing PACS and EMR systems, offering a suite of tools that support diagnostic imaging across various modalities.

The company’s solutions are developed to address key challenges in radiology, including increasing workload, the complexity of image interpretation, and the need for faster turnaround times. By leveraging deep learning and computer vision, Radium AI seeks to assist radiologists in detecting subtle abnormalities, reducing diagnostic errors, and ultimately contributing to earlier and more effective treatment plans for patients. Their focus is on creating clinically validated AI tools that provide actionable intelligence to healthcare providers.

Focus Areas

High-Performance AI Infrastructure Private Secure AI Model Serving Unified Platform for Training to Deployment (for radium.cloud); AI-native PACS viewer radiological foundation models oncology imaging clinical trials imaging biomarkers 3D segmentation automated analysis of complex biomarkers (for raidium.eu); Digital workforce management robotic process automation (RPA) bot monitoring and management automated issue resolution platform-agnostic automation support (for radium-ai.io)

Business Intelligence

Key Investors	Newfund, Founders Future, Galion.exe, European EIC fund, Kurma Partners, Techmind, Debiopharm Corporate Ventures (for raidium.eu)
Partnerships	Moffitt Cancer Center (for raidium.eu); Nvidia, Dell, MIT (for radium.cloud); MIT, Stanford, University of Toronto, Carnegie Mellon (for radium.cloud, for architecture validation)
Acquisitions	unknown
Technology	Bare-metal, virtualization-free execution model, custom routing, DNS, DHCP, dual-fabric networking, GPU, NUMA, fabric, and power-aware scheduling (for radium.cloud); AI-native PACS viewer, Curia foundation model (for raidium.eu); Cloud PACS, Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Medical AI Assistant Module (for Radium's medspace.me platform); Integrates with UiPath, Automation Anywhere, Blue Prism, ServiceNow (for radium-ai.io)
FDA Clearances	0 (Radium Read is pursuing 510(k) clearance for a subset of features and expects to announce clearance before year-end 2026) cleared products (estimated)

What Physicians Need to Know

High-Performance AI Infrastructure

Radium offers bare-metal AI inference infrastructure, eliminating virtualization overhead and optimizing across orchestration, kernel, and network levels for faster, more predictable AI training and inference. They aim to provide closer to peak hardware performance than other cloud providers.

Private Secure AI Model Serving

Radium provides dedicated environments for running private AI models with full data isolation and enterprise-grade security. They focus on delivering AI capabilities at a lower cost and with enhanced data security.

Unified Platform for Training to Deployment (Radium - AI inference platform)

Radium offers an integrated system for building, fine-tuning, and serving AI models at scale. Their platform, RadiumDeploy, includes an Inference API, AI/ML frameworks, intelligent orchestration, a zero-virtualization kernel (optimized OS), software-defined network fabric, and vendor-agnostic physical infrastructure.

Precision Radiology, AI-native foundation models, 3D segmentation, advanced measurements, automated biomarker analysis, oncology imaging, clinical trials (Raidium - radiology AI company)

Raidium has developed the world's first radiological AI-native foundation model, often referred to as the 'GPT of radiology.' This platform unifies radiology workflows, offering detailed 3D segmentation, advanced measurements, and automated analysis of complex biomarkers at high speed. It's designed to support both clinical practice and research, particularly in oncology imaging and clinical trials for imaging biomarkers like RECIST.

Robotic Process Automation (RPA) bot management, intelligent orchestration, auto-healing, workflow management, business process automation (Radium AI - RPA company)

Radium AI provides a unified, intelligent platform for centralized RPA bot management across various platforms like UiPath, Automation Anywhere, and Blue Prism. It offers real-time monitoring, AI-driven analytics, automated issue resolution, and dynamic scheduling to optimize bot performance and reduce downtime.

Physician Tip

For physicians, Raidium (the radiology AI company) offers a transformative solution by providing an AI-native PACS viewer that unifies the entire radiology workflow, moving beyond fragmented tools. This platform aims to automate repetitive, low-value tasks, freeing up radiologists to focus on patient care. It provides faster, scalable, and precise insights for complex cases, including whole-body diagnostics and automated analysis of biomarkers, which can significantly enhance diagnostic accuracy and reduce report times. Additionally, Radium (the Georgian startup) offers a medical AI assistant module that supports clinical decision-making by analyzing patient data, referencing medical guidelines, and identifying inconsistencies, thereby reducing human error and enhancing diagnostic accuracy. Their AI transcription module also automates medical documentation, converting dictations into structured text and integrating with electronic records, which can speed up documentation by at least 100%.

Radium AI (the RPA company) integrates seamlessly with leading RPA orchestrators and control rooms, including UiPath, Automation Anywhere, Blue Prism, and Power Automate, via REST APIs, email ingestion, and direct integrations. It also connects with ITSM systems like ServiceNow for automated incident creation and workflow management. For the radiology AI company, Raidium's platform is designed to unify existing fragmented AI tools within a single, AI-native PACS viewer, streamlining the workflow rather than adding more disparate systems. Radium (the AI inference platform) is built on open-source models and offers an OpenAI-compatible API for easy migration.

At a glance

Founded 2019 (for radium.cloud); 2022 (for raidium.eu); 2022 (for radium-ai.io)

HQ San Francisco, CA, United States (for radium.cloud); Paris, France, and Silicon Valley, California (for raidium.eu); Short Hills, NJ, United States (for radium-ai.io) · United States

Team size 28 (for radium.cloud); 25+ (for raidium.eu, planning to double workforce)

CEO Adam Hendin (for radium.cloud); Paul Hérent (Co-founder and CEO for raidium.eu); Jitin (for radium-ai.io)

Funding Later Stage VC (for radium.cloud); Seed (for raidium.eu); Unfunded (for radium-ai.io, as of May 2026) — $4.7M (for radium.cloud); $13M (Seed funding for raidium.eu); $16.9M (Seed funding for raidium.eu); $100K (for radium.cloud, a recent round)

FDA clearances 0 (Radium Read is pursuing 510(k) clearance for a subset of features and expects to announce clearance before year-end 2026) (estimated)

Products 1

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Products by Radium

1 product in the directory

Radium

Clinical Decision Support & Reference

Radium Read is an AI tool that provides a second read for chest X-rays to assist radiologists in improving diagnostic accuracy and efficiency.

Per-token basis, varies by model tier (hal, clarke, tycho) and by input and output tokens.

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Press & Coverage

PR Newswire

Raidium Launches AI-Native Radiology Platform Across US Cancer Centers

Raidium announced the U.S. launch of its flagship platform, Raidium Read (R.Read), an AI-native PACS viewer, at Moffitt Cancer Center, replacing their legacy radiomics applications.

2026-07

AuntMinnie

Raidium raises nearly $17M in funding round

Precision radiology startup Raidium raised 16 million euros ($16.9 million) in a seed funding round to accelerate advanced AI development and expansion, including opening U.S. offices and pursuing regulatory approvals.

2024-11

Tech.eu

ChatGPT of radiology: Raidium secures $13M for AI-powered precision diagnostics

French medtech startup Raidium secured $13 million in seed funding to accelerate the global rollout of its radiological AI-native foundation model, aiming to transform precision radiology.

2024-12

Forbes.ge

Georgian Startup Radium Pioneers Healthcare Transformation with AI-Powered Platform Medspace.me

Radium, a Georgian tech startup, is leading a technological breakthrough in the nation's healthcare sector with its unified medical platform, medspace.me, designed to enhance efficiency, accuracy, and accessibility of clinical operations.

2025-05

Signalbase

Radium Secures $100K

Radium, focused on optimizing AI inference at production scale, secured $100,000 in new funding to accelerate product development, expand its engineering team, and scale its proprietary cloud infrastructure.

2026-03

Medium

Where Observability, Analytics, and Auto-Healing Converge: Radium AI for Unified Digital Workforce Management

Radium AI offers a unified platform for digital workforce management, breaking down silos in monitoring, support, and governance across various RPA platforms with observability, analytics, and automated healing.

2025-05

Ontario.ca

Radium | Ontario at World AI Cannes Festival 2026

Radium delivers a complete, vertically integrated infrastructure stack for building, deploying, and running private AI models at scale, eliminating traditional cloud inefficiencies for faster performance and lower cost.

2026-02

Frequently Asked Questions

What specific AI infrastructure solutions does Radium offer for healthcare organizations, and how do they ensure high performance for demanding tasks like medical imaging analysis?

Radium provides High-Performance AI Infrastructure tailored for healthcare, utilizing advanced hardware and software optimizations to accelerate AI model training and inference. This infrastructure is designed to handle large datasets and complex AI models, ensuring rapid processing for applications such as real-time medical image analysis and diagnostic support.

How does Radium address data privacy and security concerns when serving AI models, especially with sensitive patient health information?

Radium prioritizes data privacy and security through its Private Secure AI Model Serving. This involves deploying AI models within secure, isolated environments, often on-premise or in private cloud instances, with robust encryption, access controls, and compliance with healthcare regulations like HIPAA to protect sensitive patient data.

Can Radium's platform unify the entire AI lifecycle, from model training to deployment, for clinical applications?

Yes, Radium offers a Unified Platform for Training to Deployment, streamlining the entire AI lifecycle for clinical applications. This platform enables healthcare organizations to seamlessly develop, validate, and deploy AI models into their existing workflows, facilitating faster integration of AI-powered tools into clinical practice.

What kind of support and maintenance does Radium offer for its AI infrastructure and platforms, and what are the typical service level agreements (SLAs)?

Radium provides comprehensive support and maintenance for its AI infrastructure and platforms, including technical assistance, software updates, and performance monitoring. While specific SLAs can vary based on the client's needs, Radium aims to ensure high availability and rapid resolution of any issues to minimize disruption to critical healthcare operations.

How does Radium's pricing model work for its AI infrastructure and services, and are there different tiers or subscription options available for healthcare providers?

Radium's pricing model is typically structured to accommodate the varying needs of healthcare providers, often including tiered subscriptions or usage-based models. This allows organizations to scale their AI infrastructure and services according to their specific requirements and budget, with options for different levels of support and features.

What partnerships does Radium have with other healthcare technology companies or research institutions to enhance its offerings?

Radium actively seeks partnerships with leading healthcare technology companies and research institutions to enrich its AI offerings. These collaborations often focus on integrating Radium's infrastructure with other clinical systems, developing specialized AI applications, or advancing research in areas like medical imaging and diagnostics.

What is Radium's long-term vision and company stability, especially concerning future innovations and adapting to evolving healthcare AI needs?

Radium is committed to long-term stability and continuous innovation in the healthcare AI space, with a vision to evolve its platforms to meet emerging clinical needs. The company invests in research and development to stay at the forefront of AI technology, ensuring its solutions remain relevant and effective for future healthcare challenges.