Accelerating AI Development

Medical Imaging,
Reimagined
by AI.

Build next-gen apps faster with the trust, traceability, and rigor that healthcare demands.

Our story

Where radiology expertise meets AI innovation.

HOPPR was founded by practicing radiologists and engineers who recognized why AI hadn’t lived up to its potential — fragmented data, privacy constraints, and the high cost of building compliant systems from scratch.

They built what was missing: a secure environment that lets innovators develop and validate imaging AI with traceability, data provenance, and responsible use at its core.

About HOPPR

Built by radiologists

Founded by practicing clinicians who understand the real-world constraints AI must overcome.

Privacy-first infrastructure

De-identification at ingestion, structured indexing, and secure routing into training pipelines.

Regulatory alignment

A quality management system designed to streamline compliant medical AI development from day one.

End-to-end traceability

Traceable records of dataset usage, training configurations, and every model update.

The challenge

A growing crisis in medical imaging.

AI was supposed to solve it. Most of it isn’t working.

Imaging volume is outpacing radiologist capacity by a ratio that hiring will never close.

Most models were trained on fragmented, narrow data and shipped as point solutions that deliver limited real-world impact.

Effective imaging AI is costly, complex, and tangled in compliance and data access problems nobody has fully solved.

Until now.

31%

More exams. Same number of radiologists.

(JACR · 46.4M exams, 167 U.S. practices · 2025)

1 in 2

Radiology positions go unfilled. You can't hire your way out.

(AAPPR Benchmarking Report · 2024)

81%

Radiology AI models degrade when tested outside their original dataset.

(Radiology: AI, Johns Hopkins · 2022, confirmed through 2025)

The Solution

Introducing HOPPR® AI Foundry.

What it takes to build, fine-tune, and validate medical imaging AI brought together in one, secure, purpose-built platform.

Foundation models built on real-world breadth

Adapt models to your specific workflow through targeted fine-tuning and validation.

Developed using diverse, real-world datasets representing a wide range of imaging environments, equipment, and populations.

Learn More →

Data-ready from day one

Provides clear data lineage and traceability often unavailable in publicly sourced datasets.

Curated, labeled data with known provenance means you reduce the time and effort of sourcing, cleaning, and validation work. Use ours, bring your own, or both.

Quality Management System (QMS) Framework

Built for quality. Designed for scale.

The Foundry is designed to support structured development workflows with traceability maintained throughout the development lifecycle, helping teams stay organized as projects evolve.

The team that fills the gaps

Radiologists who build AI. Engineers who understand radiology.

Developing imaging AI requires clinical knowledge, data expertise, and technical depth that most teams can't always resource on their own. Forward Deployed Services fills whatever gaps exist, at whatever stage you're at.

Build with Us →

See it in Action

Customize, Evaluate, Fine-Tune, and Scale

See how our platform simplifies the end-to-end process of fine-tuning, evaluating, and deploying a foundation model.

Patient Input

A depiction of a pair of lungs with pneumonia in yellow with an inflamed lobe

Model Output

Classification

Finding: Pneumonia

YES NO

Confidence 94%

Localization

Localized Area of Concern: Left Lower Lobe

Lesion Area: Coordinates Identified

Narrative Generation

PA chest view demonstrates dynamic airspace consolidation in the left lower lobe consistent with pneumonia. No pleural effusion. Cardiac size normal. No pleural effusion. Cardiac size normal.

Trusted by Radiologists.

What our partners say

“Together, we are unleashing a new paradigm where AI models can be quickly optimized to fit the evolving needs of radiology, cardiology, and other clinical domains. With Satori’s integrated user interface and HOPPR’s inference flexibility we are enabling a future where site-specific AI is built-in rather than bolted on.”

Lior Eshel

Founder and CEO · TestDynamics

“HOPPR’s fine-tuning rapidly gave us a foundation model to move quickly and significantly reduce our development costs and improve our operational quality and effectiveness.”

Sham Sokka

Chief Operating and Technology Officer · DeepHealth

“Earning HITRUST Certification demonstrates HOPPR’s commitment to managing information risk and protecting sensitive data through a rigorous, proven assurance process. This achievement reflects the organization’s proactive approach to cybersecurity and trust.”

Gregory Webb

CEO · HITRUST

Explore what’s possible.

See how HOPPR AI Foundry is redefining medical imaging AI.

The Foundry brings foundation models, curated datasets, and regulatory alignment together to accelerate innovation responsibly.

Explore the Foundry