HOPPR

Chicago, Illinois, United States All United States companies → — Founded 2019

Developer Platform / API Imaging AI Specialist

Radiology

Developer Tools & APIs Radiology & Imaging AI

Series A

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HOPPR

Developer Tools & APIs

HOPPR AI Foundry is a secure, purpose-built platform for accelerating the development, fine-tuning, and validation of medical imaging AI, built by radiologists for radiologists.

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About HOPPR

HOPPR is a healthcare AI company that aims to revolutionize medical imaging through its AI Foundry, a secure development platform designed for building, fine-tuning, validating, and deploying AI models in medical imaging. The company was founded by practicing radiologists and engineers who identified challenges in AI adoption within medical imaging, such as fragmented data, privacy concerns, and the high cost of building compliant systems. HOPPR’s platform provides the necessary infrastructure, trusted data, foundation models, and tools to accelerate AI development with speed and traceability, ensuring responsible AI development aligned with industry quality and regulatory standards.

For physicians, HOPPR’s offerings translate to enhanced diagnostic accuracy, streamlined workflows, and improved patient care. The AI Foundry empowers developers and healthcare organizations to create and deploy high-performing AI applications that can integrate into existing clinical workflows, rather than creating new, separate interfaces. This approach is intended to reduce radiologist burnout and increase efficiency by providing AI that augments, rather than replaces, clinical decision-making. HOPPR’s platform also emphasizes privacy-compliant trust architecture, addressing HIPAA and other regulatory challenges to facilitate secure and traceable data sharing for AI innovation. They offer foundation models built on diverse, real-world datasets, which can be fine-tuned to specific workflows and patient populations. Additionally, HOPPR provides support for achieving FDA marketing authorization, bridging the gap between innovation and real-world deployment.

Focus Areas

medical imaging AI AI infrastructure foundation models deep learning radiology diagnostic workflows data management regulatory compliance AI development platform

Business Intelligence

Technology

Cloud-native, secure, HIPAA-compliant environment, AI operating system, multimodal AI foundation models, Vision Transformer (ViT) backbone, API-first approach, integrates with AWS SageMaker and Kubernetes, quality management system (QMS), SOC 2 Type II attestation, HITRUST e1 Certification

What Physicians Need to Know

Specialization

HOPPR specializes in medical imaging AI, providing a secure developer platform (HOPPR AI Foundry) for building, fine-tuning, validating, and deploying AI models. They focus on enhancing diagnostic accuracy and efficiency in areas like X-ray and mammography.

Key Differentiators

HOPPR's core differentiators include their medical-grade platform, proprietary large-scale Vision Transformer (ViT) foundation models trained on millions of de-identified medical images, and Vision Language Models (VLMs) that generate narrative language for imaging characteristics. Their platform is built by practicing radiologists and AI engineers, ensuring clinical insight and technical precision. They emphasize a QMS-aligned framework, HIPAA compliance, and end-to-end traceability.

Technology Stack

The HOPPR AI Foundry is built on the NVIDIA accelerated computing platform, utilizing NVIDIA A100 and H100 GPUs for large-scale training and inference. They integrate NVIDIA medical imaging models like NV-Reason and NV-Generate, and leverage AWS's secure, scalable cloud infrastructure, including Amazon SageMaker and Amazon HyperPod for fine-tuning and inference. Medical imaging pipelines use MONAI-based transforms.

Workflow Integration

HOPPR offers 'Presto,' an AI-agnostic workflow integration platform that seamlessly delivers AI results directly into radiologists' existing PACS, reporting platforms, and clinical systems without disruption or requiring changes to current workflows.

Foundation Models

HOPPR provides proprietary foundation models, including Vision Transformer (ViT) and Vision Language Models (VLMs), trained on extensive, diverse, and de-identified medical image datasets. These models serve as a starting point for developers to fine-tune for specific use cases. They also offer 'Grace,' a generative AI model aimed at improving physician interaction with medical images and automating radiological reporting.

Security & Compliance

HOPPR's platform operates within a secure, HIPAA-compliant environment. They adhere to a Quality Management System (QMS) aligned with ISO 13485, IEC 62304, ISO/IEC 42001, and ISO 14971, and hold SOC 2 Type II attestation and HITRUST e1 Certification. Data de-identification is a core practice.

Physician Tip

For physicians, HOPPR's solutions aim to integrate AI results directly into existing workflows without disruption, allowing them to continue working as they always have while gaining access to AI-powered insights. The generative AI model 'Grace' has the potential to automate repetitive tasks in radiology reports, reducing cognitive burden and improving efficiency. The platform's focus on medical-grade foundation models and secure infrastructure ensures that the AI tools are reliable, accurate, and compliant with healthcare standards, ultimately enhancing diagnostic accuracy and speeding up image analysis.

HOPPR's AI Foundry is designed for seamless integration. It provides developer-friendly RESTful APIs to connect fine-tuned or third-party models to existing applications and workflows. Their 'Presto' platform is AI-agnostic, working with open-source, commercial, and custom AI models to integrate results directly into existing reporting environments. HOPPR also collaborates with AWS for cloud infrastructure and NVIDIA for accelerated computing and medical imaging models, demonstrating a commitment to an integrated ecosystem.

At a glance

Founded 2019

HQ Chicago, Illinois, United States · United States

CEO Khan M. Siddiqui, MD

Funding Series A

Products 1

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Products by HOPPR

1 product in the directory

HOPPR

Developer Tools & APIs

HOPPR AI Foundry is a secure, purpose-built platform for accelerating the development, fine-tuning, and validation of medical imaging AI, built by radiologists for radiologists.

What the Web Says

HOPPR (hoppr.ai) is a company focused on providing an AI infrastructure platform for medical imaging, aiming to accelerate the development and deployment of AI applications in healthcare. They offer a medical-grade platform with foundational AI models trained on diverse medical imaging data, enabling faster and more cost-effective development and fine-tuning of AI/ML applications. The platform emphasizes data management, de-identification, regulatory compliance (HIPAA), and secure development pipelines. While there is information about their product and funding, comprehensive user reviews from platforms like G2, Glassdoor, and Capterra specifically for HOPPR (hoppr.ai) are limited or not readily available.

Overall: Mixed

Strengths

Medical-grade platform for AI in medical imaging.
Provides foundational AI models for faster development.
Includes infrastructure for data management, de-identification, and regulatory compliance (HIPAA).
Supports fine-tuning of models for specific clinical and administrative applications.
Aims to improve patient care and outcomes through precision AI.
Strong team with expertise in AI, technology, and radiology.

Limitations

Limited public product reviews on major platforms like G2, Glassdoor, and Capterra.
No readily available company/employer reviews on Glassdoor or Reddit for hoppr.ai.
Some search results for 'Hopper' or 'Hoppr' refer to different companies (e.g., travel booking, social media scheduler) which can cause confusion.
Lack of detailed user feedback on specific features or customer support for hoppr.ai's medical imaging platform.
Upfront cost and transition challenges are common for new healthcare software implementations, though not specifically cited for HOPPR.

Based on reviews from: Elion, Reddit, Capterra, G2, PromptLoop, Indeed.com, Trustpilot, Gartner Peer Insights, arXiv, YouTube, SimplyHired

Last updated: 2026-09-15

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Press & Coverage

PRNewswire

HOPPR Secures $31.5M Series A to Scale AI Infrastructure for Medical Imaging

HOPPR announced it secured $31.5 million in an oversubscribed Series A funding round, led by Kivu and Greycroft, with participation from other investors. This funding will accelerate platform development, scale operations, expand foundation model capabilities, and grow its team to revolutionize AI imaging applications.

2025-06

HOPPR

HOPPR Launches Presto, Unlocking AI Draft Reporting in Existing Radiology Workflows

HOPPR announced the commercial availability of HOPPRu00ae Presto Agent, an AI-powered solution that integrates with existing radiology reporting systems to create draft reports. This aims to address a major barrier to AI adoption by bringing AI capabilities into radiologists' current workflows without requiring new platforms.

2026-06

HOPPR

HOPPR Brings AI Foundation Models to Chest CT, Expanding Developer Access Across Its Growing Medical Imaging Portfolio

HOPPR introduced its HOPPRu00ae EF Chest CT Narrative Model, a foundation model that processes 3D chest CT volumes and generates narrative language describing image characteristics. This model is available through HOPPRu00ae Forward Deployed Services, providing expert support for evaluation and integration.

2026-07

HOPPR

HOPPR Launches Next-Generation AI Fine-Tuning Solution for X-Ray and Mammography Imaging in Collaboration with AWS

HOPPR announced a collaboration with Amazon Web Services (AWS) to launch its API Service for fine-tuning, image, and text inferencing, specifically for chest X-ray and mammography imaging. This solution aims to enhance diagnostic accuracy and efficiency for healthcare professionals.

2024-12

HOPPR

HOPPR Releases 2D Mammography Foundation Model to Accelerate AI Innovation in Breast Imaging

HOPPR announced the release of its HOPPRu00ae EB 2D Mammography Foundation Model, a Vision Transformer-based model designed to accelerate AI development in breast imaging. This model supports fine-tuning across diverse diagnostic tasks, empowering faster innovation in early detection and breast health.

2025-11

arXiv

HOPPR Medical-Grade Platform for Medical Imaging AI - arXiv

This paper describes the HOPPR Medical-Grade Platform, which addresses barriers to deploying large vision language models (LVLMs) in medical imaging by providing computational infrastructure, foundation models for fine-tuning, and a robust quality management system. The platform aims to expedite the deployment of LVLM solutions to optimize radiologist workflows.

2024-11

HOPPR

HOPPR Expands Medical Imaging AI Portfolio with Chest Radiography Narrative Model

HOPPR introduced the MC Chest Radiography Narrative Model, a vision language model that translates chest X-rays into structured text for radiology workflows. This model is designed to be a flexible component for developers building radiology reporting and image-based workflow applications.

2026-05

HOPPR Blog

HOPPR AI Foundry Platform Achieves HITRUST Certification

HOPPR's AI Foundry Platform has achieved HITRUST Certification, demonstrating its commitment to maintaining the highest standards for security and compliance in healthcare AI development. This certification validates that HOPPR's controls are implemented and operating effectively.

2026-01

Frequently Asked Questions

What specific AI products does HOPPR offer for medical imaging, and how do they benefit physicians and healthcare administrators?

HOPPR offers the AI Foundry, a secure development platform for building, fine-tuning, and deploying AI models in medical imaging. This includes foundation models like the HOPPR Marie Curie Chest Radiography Foundation Model and the MC Chest Radiography Narrative Model, which translates X-ray images into structured text for reporting. For physicians, these tools aim to enhance diagnostic accuracy and efficiency, while administrators can benefit from streamlined workflows and reduced development costs for AI applications.

How does HOPPR ensure compliance with healthcare regulations and data privacy standards like HIPAA?

HOPPR's AI Foundry is built under a Quality Management System (QMS) aligned with industry standards like ISO 13485, IEC 62304, ISO/IEC 42001, and ISO 14971. The platform operates within a secure, HIPAA-compliant environment, leveraging AWS's secure infrastructure. They also emphasize privacy-first infrastructure with de-identification at data ingestion and end-to-end traceability of data usage and model updates.

Can you explain HOPPR's pricing model for its AI solutions?

While specific pricing details are not publicly available, HOPPR's platform supports usage-based billing for its fine-tuning and inference APIs. Additionally, organizations can access the HOPPR AI Foundry through AWS Marketplace and apply existing AWS spend commitments towards HOPPR licensing, which can simplify procurement and budgeting.

What kind of support does HOPPR provide to healthcare organizations implementing their AI solutions?

HOPPR offers various support mechanisms, including 'Forward Deployed Services' (FDS), which embeds HOPPR's machine learning and clinical experts directly within a client's team for hands-on support in building and integrating AI solutions. They also have a 'Catalyst Program' that provides early access to foundation models, curated datasets, fine-tuning tools, and support from their machine learning scientists.

What partnerships has HOPPR established within the healthcare AI ecosystem?

HOPPR has formed significant partnerships with key players in the healthcare and technology sectors. They have a five-year development partnership with Viz.ai to integrate their AI foundation model with Viz.ai's care coordination tools. They also collaborate with RadNet's DeepHealth to create new fine-tuned models for health informatics. Furthermore, HOPPR works with Amazon Web Services (AWS) to provide a secure and scalable cloud infrastructure for their platform and has integrated Nvidia systems into their AI development framework.

What is HOPPR's company stability and background, given the rapid evolution of AI companies?

Founded in 2019, HOPPR is led by a team with extensive experience in clinical radiology, AI development, and healthcare commercialization. They secured $31.5 million in Series A funding in June 2025, led by Kivu and Greycroft, with participation from other notable investors and existing investor Health2047, a venture studio founded by the American Medical Association. This demonstrates strong investor confidence and a commitment to scaling their operations and platform development.

How does HOPPR's technology integrate with existing PACS and clinical systems?

HOPPR's 'Presto' platform is designed for AI-agnostic workflow integration, meaning it can work with open-source, commercial, and custom AI models. Presto integrates AI results directly into radiologists' existing reporting environments without requiring changes to their PACS, reporting platforms, or clinical systems, aiming for zero disruption to current workflows.