Introducing

HOPPR AI-powered Imaging Platform enables developers and medical imaging providers to build, fine-tune, and validate AI models for tailored apps that improve clinical care and optimize workflows.

Designed for regulatory alignment and real-world integration, the platform simplifies the path from research to deployment.

It provides the secure infrastructure, trusted data, and development tools needed to bring imaging AI into clinical practice with confidence. 

We partner with PACS, medical imaging providers, and developers to build, refine, and deploy AI apps.

  • PACS Platform Providers are hindered by long, costly development cycles, integration challenges from multiple point solutions, and limited revenue growth potential.

  • AI Medical imaging Platforms and Workflow Innovators face inefficiencies and unnecessary follow-ups due to high false positives, a lack of comprehensive AI solutions, and poor integration into existing workflows.

  • App Developers struggle with lengthy development cycles, significant investment requirements, FDA regulatory complexity, and a lack of flexibility that makes it difficult to adapt models to evolving technologies and clinical needs.

HOPPR API To Our Foundation Model​

Developers can interact with models through a developer-friendly API, initiate fine-tuning workflows, and integrate outputs directly into their applications, evaluation environments, or downstream systems.

Our platform, built on a quality management system (QMS), accelerates the development of tailored clinical and workflow applications to improve patient care and drive operational efficiency through our partners’ applications.

Partner End User​

Partner Application

HOPPR API

​Potential use cases include: ​

Workflow Optimization​

  • Prioritization and triage​

  • Flagging high-risk findings ​

  • Report generation

Quality Assurance​​

  • Image quality​

  • Safety screening​

  • Read Review​​

  • Billing

HOPPR AI-powered Platform is transforming medical imaging​

Platform

Secure infrastructure for managing imaging data, enabling de-identification at ingestion, structured indexing, and seamless routing into training pipelines.

Data

Largest set of multi-modality data with known provenance, intended for training AI models.

Data Management Platform

Fine-Tuning Tooling

Model Hosting Platform

Model Output, History, and Regulatory Evaluation Support.

Traceability

Traceable records of dataset usage, training configurations, and model updates.

Foundation Model

Designed to address specific diagnostic and operational challenges in healthcare.

Quality Management System (QMS)

 HOPPR’s QMS gives developers a critical advantage: a structured, standards-aligned environment to support the safe, traceable development of AI models for medical imaging without starting from scratch. 

HOPPR’s Impact​: A single API Service enabling the medical imaging ecosystem​

• Accelerating time-to-market for solution providers

• Materially less expensive to develop

• One-stop shop (we have the data)

• QMS (faster FDA clearance process)

• Single solution across modalities

• Self-service tools enable building custom solutions