HOPPR
- Company typePrivate
- Founded2019
- HeadquartersChicago, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
HOPPR firmographics
Firmographics- Name
- HOPPR
- Legal name
- IntellixAI, Inc.
- Website
- https://hoppr.ai
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
HOPPR industry classification
Industry- Product category
- Medical Imaging AI Platform
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Radiology AI, CAD & Advanced Visualization Software (HLAHABAJ)
- akta.pro secondary industry
- AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG)
Keywords
Where HOPPR is headquartered
LocationHeadquarters
- HQ city
- Chicago
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
HOPPR business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- HOPPR AI Foundry Platform Access: Subscription-based access to the HOPPR AI Foundry developer platform, including foundation models, datasets, fine-tuning tools, and secure infrastructure for medical imaging AI development.
- API Usage-Based Billing: Usage-based billing for fine-tuning and inference via API within the Foundry, with end-to-end traceability. Customers pay for compute consumed and inference calls.
- Forward Deployed Services (Professional Services): Professional services engagement where HOPPR embeds its ML scientists, software engineers, data scientists, and clinical experts within customer teams to accelerate AI development through Align, Build, Integrate, Validate, Deploy, Support phases.
- Presto Agent Workflow Integration Licensing: AI-agnostic workflow integration platform enabling AI results to be integrated into radiologists' existing reporting systems; early access via waitlist with planned enterprise rollout.
- Foundry and Presto Software Licensing: Per Terms and Conditions, Services are purchased as subscriptions (annual or multi-year) with usage limits; non-cancelable, non-refundable fees; auto-renewal at then-current list price unless 30 days' notice given.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Annual | Custom quote-based Foundry subscription with usage-based API billing |
| Subscription | Annual | Subscription pricing per Order Form with annual invoicing |
| Freemium | Pay-as-you-go | Free trial period for Foundry services |
Go-to-market motion1 record
Distribution channels6 records
Marketing channels9 records
HOPPR product offering
Product offeringCore offering
HOPPR provides the HOPPR AI Foundry, a secure developer platform that bundles proprietary Vision Transformer (ViT) foundation models and narrative Vision-Language Models (VLMs) for chest radiography and 2D mammography, a curated medical imaging dataset repository, fine-tuning tooling, and a QMS-aligned compliance framework (ISO 13485, IEC 62304, ISO/IEC 42001, ISO 14971) accessed via developer-friendly RESTful APIs. It complements the platform with HOPPR Presto Agent, an AI-agnostic workflow integration product that injects AI results into radiologists' existing PACS and reporting systems, and Forward Deployed Services that embed HOPPR's ML scientists and clinical experts inside customer teams.
Product overview
HOPPR offers a platform-plus-modules architecture for medical imaging AI development and deployment, anchored by the HOPPR AI Foundry core platform. The AI Foundry brings together proprietary foundation models — the HOPPR MC Chest Radiography ViT and HOPPR EB 2D Mammography ViT — together with narrative Vision-Language Models (the MC Chest Radiography Narrative VLM and the EB 2D Mammography Narrative VLM), curated datasets, fine-tuning tools, and compliance frameworks in a single secure, QMS-aligned environment. The HOPPR Foundation Model Library catalogs these proprietary models alongside integrated third-party models (NVIDIA NV-Reason, NV-Generate, Google MedGemma, Microsoft MedImageInsights, CheXagent, RadFM). HOPPR Forward Deployed Services embeds HOPPR's clinical and technical experts directly with customer teams to accelerate AI development, while the HOPPR Catalyst Program grants early access to academic and clinical researchers. On the deployment side, HOPPR Presto Agent integrates AI results into radiologists' existing reporting systems and PACS without workflow disruption. The Foundry and Presto are positioned as complementary, independent products covering AI development and clinical workflow integration respectively.
Differentiator
Problem solved
Functional benefit
Brands
- HOPPR AI Foundry: Secure developer platform providing infrastructure, trusted data, and foundation models to build, fine-tune, and validate medical imaging AI.
- HOPPR Presto Agent
- HOPPR Forward Deployed Services
Products and services
- HOPPR AI Foundry A scalable, secure developer platform for medical imaging AI development that brings together proprietary foundation models, curated datasets (more than 19 million studies from 18 partner imaging sites), fine-tuning tools, and compliance frameworks. Enables healthcare developers to build, fine-tune, validate, and deploy imaging AI solutions using developer-friendly RESTful APIs and self-service workflows with full traceability.
- HOPPR Presto Agent An AI-agnostic workflow integration platform that integrates AI results directly into radiologists' existing reporting systems and PACS without requiring changes to templates or clinical workflows. Works with open source, commercial, and custom AI models, allowing practices and health systems to select the model that best fits their needs.
- HOPPR Forward Deployed Services (FDS) A hands-on partnership service that embeds HOPPR's machine learning scientists, software engineers, data scientists, and clinical experts directly within customer teams. Provides end-to-end engagement across alignment, building, integration, validation, deployment, and ongoing support for medical imaging AI solutions.
- HOPPR Catalyst Program A research program that grants early access to the HOPPR AI Foundry, including the foundation model library, curated datasets, fine-tuning tools, GPU compute credits, and training from HOPPR ML scientists, to pioneering researchers focused on rapid innovation, collaboration, and translational research in medical imaging AI.
- HOPPR MC Chest Radiography ViT Foundation Model Proprietary Vision Transformer foundation model for chest X-ray (frontal PA/AP views) covering lungs, heart, pleura, mediastinum, ribs, and chest wall. Trained on approximately 12.2 million images / 6.1 million studies. Supports binary classification fine-tuning with model score output across 24 findings, with internal validation ROC-AUC median 0.91 (range 0.77-0.99).
- HOPPR EB 2D Mammography ViT Foundation Model Proprietary Vision Transformer foundation model with LoRA adapters for 2D mammography (FFDM and synthetic 2D from DBT, CC and MLO views). Supports binary classification of cancer (ROC-AUC 0.90), density (0.94), and pacemaker (0.99), with laterality labeling and 5,400 pathology-proven studies.
- HOPPR MC Chest Radiography Narrative VLM Vision-Language Model with ViT encoder + Q-Former + modernBERT decoder that generates descriptive, structured textual language outputs from chest radiography representations (frontal PA/AP, lateral) for research, development, and evaluation workflows.
- HOPPR EB 2D Mammography Narrative VLM 2B-parameter Vision-Language Model that generates descriptive, structured textual language outputs from 2D mammography representations (FFDM and synthetic 2D from DBT) for research, development, and evaluation workflows.
Quantifiable outcome
- Imaging-first AI can reduce time to treatment decisions by 26% and critical case notification times by 57%
- +4 more outcomes
Companies that use HOPPR
Customer profileNamed customers7 records
Segments5 records
Ideal customer profiles4 records
HOPPR technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability10 records
Feature10 records
HOPPR partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered core, flagship and minor.
- Amazon Web Services (AWS)coreHOPPR AI Foundry is now available in AWS Marketplace, providing purpose-built foundation models and fine-tuning tooling combined with AWS data, infrastructure, traceability, and compliance to power medical imaging AI development.
- NVIDIAflagshipStrategic technology partnership integrating NVIDIA open models (NV-Reason for multimodal reasoning in chest x-ray interpretation; NV-Generate for synthetic DICOM imaging dataset creation) into the HOPPR AI Foundry platform. HOPPR AI Foundry is built on NVIDIA A100 and H100 GPUs with NVIDIA TensorRT optimization and NVIDIA Triton Inference Server for inference. Announced at NVIDIA GTC 2026.
- Ferrum HealthcoreStrategic partnership to develop a comprehensive foundation model development suite for healthcare. Enables health systems to build, customize, validate, and manage AI models securely and efficiently, with emphasis on compliance and performance monitoring. Announced at RSNA 2025.
- RadNet's DeepHealthcoreStrategic partnership to advance foundational AI model development in healthcare and medical imaging. DeepHealth's COO/CTO Sham Sokka publicly endorsed HOPPR fine-tuning capabilities, noting it provided a foundation model that reduced development costs and improved operational quality.
- TestDynamicsminorGTM partnership pairing TestDynamics' Satori integrated user interface with HOPPR's inference flexibility to enable site-specific AI in radiology, cardiology, and other clinical domains. CEO Lior Eshel publicly endorsed the partnership.
- MAI Lab LagosminorCatalyst Program research partner advancing breast cancer detection projects using Nigerian datasets within the HOPPR AI Foundry; showcased at SIIM26.
- The Catholic University of KoreaminorCatalyst Program research partner advancing musculoskeletal chest X-ray findings research using South Korean datasets within the HOPPR AI Foundry; showcased at SIIM26.
- University of Illinois Cancer CenterminorCatalyst Program research partner advancing cancer risk prediction projects using U.S. datasets within the HOPPR AI Foundry; showcased at SIIM26.
Scale indicators13 records
Recent moves6 records
Expansion highlights7 records
HOPPR competitors and assessment
Company assessmentDirect peers
- RadNet (DeepHealth): RadNet operates one of the largest U.S. outpatient imaging networks and through its DeepHealth subsidiary builds and deploys radiology AI. DeepHealth is both a HOPPR customer/partner and a direct competitor in operationalizing AI for radiology practices, making it the closest comp by business model overlap.
- Aidoc: Aidoc provides AI-powered workflow and triage solutions for radiologists across CT, X-ray, and other modalities, serving hospitals and health systems. Like HOPPR, Aidoc aims to integrate AI results into radiologist workflows, addressing similar pain points of imaging volume outpacing radiologist capacity.
- Lunit: Lunit develops radiology AI solutions for chest X-ray (Lunit INSIGHT CXR) and mammography (Lunit INSIGHT MMG), the same two core imaging domains where HOPPR's foundation models are concentrated. Lunit is publicly listed (KOSDAQ) and competes for similar hospital and screening-program customers.
- Annalise.ai: Annalise.ai builds comprehensive radiology AI models covering chest X-ray and other modalities, with broad-finding classification similar to HOPPR's 24-finding chest radiography model. It serves hospitals and radiology practices with both standalone products and integration via partner platforms.
- Rad AI: Rad AI focuses on generative AI for radiology reporting, including automated impression generation. HOPPR's narrative VLMs and Rad AI's report-generation products target the same radiologist productivity wedge and compete for similar practice and health system budgets.
Broad incumbents
- Tempus (Arterys): Tempus, which acquired Arterys, offers medical imaging AI for cardiac MR, oncology, and other clinical workflows. As a much larger precision medicine platform with deep capital and data assets, Tempus overlaps with HOPPR's imaging AI and workflow integration ambitions at the broad incumbent level.
- NVIDIA (Clara / MONAI): NVIDIA provides Clara imaging, MONAI for medical imaging AI, NV-Reason, and NV-Generate — some of which are integrated into HOPPR's Foundry. NVIDIA is simultaneously HOPPR's flagship infrastructure partner and a broad incumbent that could disintermediate HOPPR with its own end-to-end medical imaging AI stack.
- Google Health (MedGemma): Google's MedGemma open medical imaging model is integrated into the HOPPR AI Foundry but also competes as a free, broad-reach alternative for health systems building their own AI. As a broad incumbent with global cloud distribution, Google Health represents both partner and competitor dynamics similar to HOPPR's NVIDIA relationship.
- Microsoft (MedImageInsights / Nuance): Microsoft's MedImageInsights model sits in HOPPR's Foundry, and Microsoft/Nuance already has deep radiology reporting distribution via PowerScribe. Microsoft competes at the broad incumbent level through its cloud and reporting-software footprint in healthcare while also serving as a model provider to HOPPR.
Emerging players
- Sirona Medical: Sirona Medical is building a cloud-native radiology operating system that unifies PACS, reporting, and AI integration. Its AI-agnostic workflow integration focus closely parallels HOPPR's Presto Agent strategy, making it a directly comparable emerging peer for radiologist-facing deployment.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
HOPPR social profiles
Digital presenceHOPPR compliance and trust
Trust signalCompliance8 records
HOPPR financial estimates
Financial estimateRevenue estimate
Valuation estimate
HOPPR leadership team
Management profileNumber of profiles
Profiles13 records
HOPPR funding detail
Funding detailFunding overview
Funding rounds1 record
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
HOPPR M&A and investment
M&A and investmentM&A
Investments1 record
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about HOPPR
What does HOPPR do?
HOPPR provides the HOPPR AI Foundry, a secure developer platform that bundles proprietary Vision Transformer (ViT) foundation models and narrative Vision-Language Models (VLMs) for chest radiography and 2D mammography, a curated medical imaging dataset repository, fine-tuning tooling, and a QMS-aligned compliance framework (ISO 13485, IEC 62304, ISO/IEC 42001, ISO 14971) accessed via developer-friendly RESTful APIs. It complements the platform with HOPPR Presto Agent, an AI-agnostic workflow integration product that injects AI results into radiologists' existing PACS and reporting systems, and Forward Deployed Services that embed HOPPR's ML scientists and clinical experts inside customer teams.
Is HOPPR a public or private company?
HOPPR is a private company. It is classified as venture growth investor backed and is currently operating.
When was HOPPR founded?
HOPPR was founded in 2019. It employs 11 to 50 people.
Where is HOPPR based?
HOPPR is headquartered in Chicago, United States, in the North America region.
How does HOPPR make money?
Five revenue lines are on record. HOPPR AI Foundry Platform Access are the primary driver. The others are API Usage-Based Billing, forward Deployed Services (Professional Services), presto Agent Workflow Integration Licensing and foundry and Presto Software Licensing.
Who are HOPPR's main competitors?
Direct peers on record are RadNet (DeepHealth), Aidoc, Lunit, Annalise.ai and Rad AI. Broad incumbents are Tempus (Arterys), NVIDIA (Clara / MONAI), Google Health (MedGemma) and Microsoft (MedImageInsights / Nuance). Sirona Medical is listed as an emerging player.
Does HOPPR have an API?
Yes. HOPPR provides developer-friendly RESTful APIs within the AI Foundry for fine-tuning, evaluation, version management, and inference of medical imaging AI models. The APIs support both API-direct and UI-mediated access (an intuitive user interface is layered over the APIs). The Foundry operates within a secure HIPAA-compliant environment with usage-based billing and end-to-end traceability. Developers can integrate fine-tuned or third-party models into applications via RESTful APIs.
What industry is HOPPR in?
HOPPR's product category is Medical Imaging AI Platform. Its primary akta.pro industry code is HLAHABAJ, Radiology AI, CAD & Advanced Visualization Software, with a secondary code of HLACALAG, AI Orchestration & Imaging Analytics Platforms (Model Management/Triage). Its NAICS code is 5132 and its SIC code is 7372.