HOPPR
Category: AI in Healthcare
An AI infrastructure and foundation model platform that enables developers to build, validate, and deploy medical imaging AI applications quickly and compliantly. HOPPR was founded in 2019. The company is led by Dr. Khan Siddiqui. Based in Chicago, IL, USA. Team size: 39. Total funding raised: $34.5 million. Latest round: $31.5 million Series A in June 2025. Key investors include Kivu Ventures, Greycroft, PSG Equity, Morningside Capital, Fortitude Ventures, Health2047.
- Founded
- 2019
- Headquarters
- Chicago, IL, USA
- Team size
- 39
- Total funding
- $34.5 million
Value proposition
To democratize access to high-performing, trustworthy imaging AI by providing the tools, data, and compliant environment needed to fine-tune models safely and at scale, significantly shortening development time.
Products and solutions
Grace (multimodal foundation model for medical imaging), HOPPR Platform (secure AI development and deployment environment)
Unique value
Instead of offering a single AI product, HOPPR provides a comprehensive B2B infrastructure platform with a pre-trained foundation model ('Grace') that developers can build upon. The model processes medical images with significantly higher data depth (65,000 shades of grey) than many traditional AI models.
Target customer
Medical imaging AI developers, PACS vendors, healthcare providers, and research institutions.
Industries served
Healthcare, Medical Imaging, Radiology, Diagnostics
Technology advantage
The platform's core advantage is accelerating the development of new medical imaging AI applications from over a year to approximately one month. It provides a secure, compliant environment with full traceability, designed specifically for regulated healthcare applications.
How they differentiate
HOPPR differentiates by offering a specialized, commercially-usable foundation model for medical imaging, combined with an end-to-end, compliant development environment. This contrasts with broader cloud platforms or open-source frameworks that require more groundwork from developers.
Main competitors
NVIDIA (MONAI framework), Google Cloud (Medical Imaging Suite), Flywheel
Key partnerships
Amazon Web Services (AWS), RadNet, Rad AI, DeepHealth
Notable customers
RadNet, Rad AI
Major milestones
Secured $31.5 million in Series A funding in June 2025. Launched the 'Grace' multimodal foundation model in November 2023. Established strategic partnerships with Amazon Web Services (AWS) and RadNet.
Growth metrics
Not publicly disclosed.
Market positioning
Positioned as the essential infrastructure layer, or 'operating system,' for the development and deployment of third-party medical imaging AI.
Geographic focus
Primarily the United States, with plans for global expansion.
Patents and IP
Not publicly specified.
About Dr. Khan Siddiqui
Dr. Khan Siddiqui is a distinguished radiologist, serial entrepreneur, and a pioneer in the field of AI and medical imaging. His career is marked by leadership roles at major technology and healthcare companies, including Microsoft and Philips. He has a proven track record of founding successful ventures, such as the consumer health engagement company higi. As the founder and CEO of HOPPR, he leads the development of an AI infrastructure and foundation model platform designed to accelerate the creation and deployment of medical imaging AI applications. His extensive experience bridges the gap between clinical practice and cutting-edge technology.
Official website: https://www.hoppr.ai/