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Hoppr.ai provides a generative AI platform focused on medical imaging. It gives developers access to diverse medical imaging data, pre-configured environments, and the latest AI/ML tools so they can build, train, and test medical imaging models. The platform works by offering ready-to-use datasets and infrastructure in a managed environment, helping researchers experiment and scale model training while maintaining privacy and regulatory compliance. What sets Hoppr.ai apart from competitors is its emphasis on medical imaging datasets combined with privacy safeguards and compliance-ready workflows, enabling safer and scalable AI development in healthcare. The company’s goal is to make it easier and more cost-effective to create healthcare AI solutions that can be used in real-world clinical settings.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Healthcare
Company Size
51-200
Company Stage
Series A
Total Funding
$31.5M
Headquarters
Chicago, Illinois
Founded
2019
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Total Funding
$31.5M
Above
Industry Average
Funded Over
1 Rounds
Industry standards
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Parental Leave
Remote Work Options
Hybrid Work Options
Company Equity
HOPPR unveils new AI foundation model for Chest CT. The HOPPR EF Chest CT Narrative Model reportedly provides narrative language describing pertinent findings across pulmonary, upper abdominal, cardiac, mediastinal and soft tissue regions with processing of 3D chest CT volumes. Adding a fifth foundation model to its AI Foundry portfolio, HOPPR has introduced the HOPPR EF Chest CT Narrative Model. Trained on a large proprietary chest CT dataset drawn from multiple facilities, the offers narrative descriptions of chest CT findings across pulmonary, upper abdominal, cardiac, mediastinal and soft tissue regions with processing of 3D chest CT volumes. HOPPR added that the AI foundation model also includes coverage of conditions such as aortic injury, pneumothorax and pulmonary embolism. The company noted that theHOPPR EF Chest CT Narrative Model is available through HOPPR Forward Deployed Services that provide expertise in clinical workflow, machine learning and deployment support to facilitate development and customization of the foundation model to the needs of the radiology department or facility. "Chest CT is one of the most information-dense studies in radiology. Getting AI to work well across everything it captures - the lungs, the heart, the aorta - is a genuinely hard problem, and we are pleased with what this model can do," noted Khan Siddiqui, MD, the co-founder and CEO of HOPPR. "But the model is only part of what we are building. Our AI Foundry and Forward Deployed Services include secure infrastructure, curated data, and the clinical and technical expertise to help any organization move from a foundation model to a working application, regardless of where they are starting from. That is what makes this more than a model release."
HOPPR has launched its fifth foundation model, the HOPPR EF Chest CT Narrative Model, which processes 3D chest CT volumes and generates descriptive language covering pulmonary, cardiac, and other anatomical regions. The model was trained on a proprietary dataset from multiple US clinical sites, with deliberate inclusion of rare but serious conditions such as aortic injury and pulmonary embolism. The Chicago-based company's foundation model portfolio now spans three imaging modalities: chest X-ray, mammography, and chest CT. Models are available through HOPPR's AI Foundry platform alongside third-party models from NVIDIA, Google, Microsoft, and Stanford AIMI. The platform operates on HIPAA-ready infrastructure with SOC 2 Type II and HITRUST e1 certification. HOPPR Forward Deployed Services provides teams with clinical workflow expertise and machine learning support to adapt models to specific data and use cases.
HOPPR has launched Presto Agent, an AI tool that integrates draft reporting capabilities into radiologists' existing workflow systems. The platform works with PowerScribe 360 and PowerScribe One, with additional integrations under development. Presto allows practices to select their own AI models—commercial, open-source, or internally developed—to extract findings from imaging exams and generate draft reports within existing templates. The system automatically organises dictated text and pulls measurements from DEXA images, scanned PDFs and ultrasound worksheets. Founded in 2019, HOPPR provides an AI Foundry for developers to build and fine-tune medical imaging models. Its workflow-native delivery layer, Presto, addresses a key barrier to radiology AI adoption by eliminating the need for new software or platform migrations. Early access users reported minimal workflow disruption and time savings on manual reporting tasks. The company has raised $34.5 million to date.
HOPPR, a medical imaging AI company, has opened applications for the next cohort of its Catalyst Program at the SIIM26 Annual Meeting in Chicago. The programme provides clinician scientists and researchers with access to foundation models, datasets, fine-tuning tools and machine learning support via the HOPPR AI Foundry platform. The first cohort includes projects from MAI Lab Lagos developing mammography AI models for breast cancer detection in Africa, The Catholic University of Korea adapting chest X-ray models to identify musculoskeletal abnormalities, and the University of Illinois Cancer Center exploring lung and breast cancer risk prediction. Founded in 2019, HOPPR aims to lower technical barriers in healthcare AI development. The company is showcasing interactive demonstrations at booth #509 during SIIM26 and will host an informational webinar in July.
HOPPR has launched its AI Foundry platform on AWS Marketplace, enabling healthcare systems and life sciences organisations to develop medical imaging AI within their existing AWS infrastructure. The platform is initially available in the United States, with global rollout planned. Founded in 2019 by practising radiologists and machine learning engineers, HOPPR AI Foundry offers purpose-built foundation models, de-identification tools and end-to-end traceability for medical imaging development. The HIPAA-compliant platform holds SOC 2 Type II attestation and HITRUST e1 Certification. AWS customers can apply existing spend commitments towards HOPPR licensing, streamlining procurement. The platform operates within customers' established AWS security controls and works with imaging data already stored on AWS, requiring no separate compute environment.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Healthcare
Company Size
51-200
Company Stage
Series A
Total Funding
$31.5M
Headquarters
Chicago, Illinois
Founded
2019
Find jobs on Simplify and start your career today