HOPPR AI Platform

JSON twin: https://www.healthaidb.com/software/hoppr-ai-platform.json

Company Name

HOPPR

Product URL

https://www.hoppr.ai/

Company URL

https://www.hoppr.ai/

Categories

• clinical Care
• diagnostic Support
• administrative Operations
• patient Facing
• Clinical
• Diagnostic
• Administrative

Summary

HOPPR AI Platform is a secure development environment for building, refining, and deploying AI models in medical imaging, offering curated data, foundation models, fine-tuning tools, and regulatory compliance support.

Description

HOPPR AI Platform provides a comprehensive infrastructure for developing medical imaging AI applications, connecting high-quality data to model development workflows through secure, structured systems. It offers traceability, version control, and quality management system (QMS) documentation to support regulatory submission, along with foundation models and fine-tuning tools to address specific challenges in radiology. The platform also provides a large collection of proprietary medical imaging datasets with known provenance for training AI models in commercial development.

Api Available

yes

Certifications

• FDA 510(k)
• CE/MDR
• ONC
• ISO 27001
• SOC 2 Type II

Company Founding

2023

Company Offices

• United States
• United Kingdom
• Germany
• France
• Italy
• Spain
• Australia
• Japan
• South Korea
• China

Compliance

• HIPAA
• SOC 2 Type II
• ISO 27001
• GDPR

Customers

• Sham Sokka, C

Data Residency

US/EU regions

Data Standards

• DICOM
• HL7
• FHIR
• SNOMED
• ICD-10

Deployment Model

• SaaS

Features

• Secure AI development environment
• Data discovery for AI/ML training and model validation
• HIPAA-compliant data governance and audit trails
• Full control over data access with instant revocation
• Data de-identification
• Local optimization and deployment of AI/ML models
• Sharing of de-identified data for multi-center AI/ML model development
• Patient-centric services via web, including opt-out from data use for AI/ML research
• Cohort builder and study explorer search engine
• Preconfigured development environments with sample data
• Import existing labels and masks from other platforms
• Viewers to validate training results while preserving PHI
• Use of popular cloud platforms with lower compute rates
• AI marketplace for compliant deployment across partner network
• Analytic package tracking usage, access, and model development

Id

SW1505

Integration Partners

• Snowflake
• Databricks Data Intelligence Platform
• Vertex AI
• SAP HANA Cloud
• SAS Viya
• Saturn Cloud
• Dataiku
• SuperAnnotate

Integrations

• PACS
• Medical Imaging Providers
• TensorFlow
• AWS

Languages Supported

• English
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Hindi
• Bengali
• Punjabi
• Telugu
• Marathi
• Tamil
• Urdu
• Gujarati

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• Foundation Model
• Fine-Tuning Tooling
• Model Hosting Platform
• Quality Management System (QMS)

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW1505

Product Name

HOPPR AI Platform

Ratings

• 4.5/5 (60 reviews) - G2

Regions Available

• United States
• Canada
• United Kingdom
• Germany
• France
• Italy
• Spain
• Australia
• Japan
• South Korea
• China
• India
• Brazil
• Mexico
• South Africa
• Nigeria
• Egypt
• Saudi Arabia
• United Arab Emirates
• Israel

Related Urls

• https://www.healthaidb.com/software/hoppr
• https://www.gaebler.com/Funded-Company-6F58E8BC-EA9E-49C2-9D1B-C1EFD0774B26-Hoppr
• https://www.dealroom.co/companies/hoppr_3
• https://www.bcorporation.net/en-us/find-a-b-corp/company/hoppr
• https://www.hoppr.dev/
• https://elion.health/products/hoppr

Release Year

2023

Security Features

• Encryption at rest
• Encryption in transit
• RBAC
• Audit logs
• 2FA
• DLP

Specialties

• Radiology
• Cardiology
• Oncology
• Pulmonology
• Neurology
• Orthopedics
• Gastroenterology
• Dermatology
• Urology
• Obstetrics
• Gynecology
• Pediatrics
• Geriatrics
• Emergency Medicine
• Pathology
• Ophthalmology
• Ent
• Dentistry
• Anesthesiology
• Plastic Surgery

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• clinicians
• nurses
• patients
• admins
• payers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• HOPPR’s fine-tuning rapidly gave us a foundation model to move quickly and significantly reduce our development costs and improve our operational quality and effectiveness.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "HOPPR AI Platform",
  "company_name": "HOPPR",
  "product_url": "https://www.hoppr.ai/",
  "company_url": "https://www.hoppr.ai/",
  "related_urls": [
    "https://www.healthaidb.com/software/hoppr",
    "https://www.gaebler.com/Funded-Company-6F58E8BC-EA9E-49C2-9D1B-C1EFD0774B26-Hoppr",
    "https://www.dealroom.co/companies/hoppr_3",
    "https://www.bcorporation.net/en-us/find-a-b-corp/company/hoppr",
    "https://www.hoppr.dev/",
    "https://elion.health/products/hoppr"
  ],
  "product_code": "SW1505",
  "summary": "HOPPR AI Platform is a secure development environment for building, refining, and deploying AI models in medical imaging, offering curated data, foundation models, fine-tuning tools, and regulatory compliance support.",
  "description": "HOPPR AI Platform provides a comprehensive infrastructure for developing medical imaging AI applications, connecting high-quality data to model development workflows through secure, structured systems. It offers traceability, version control, and quality management system (QMS) documentation to support regulatory submission, along with foundation models and fine-tuning tools to address specific challenges in radiology. The platform also provides a large collection of proprietary medical imaging datasets with known provenance for training AI models in commercial development.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "administrative Operations",
    "patient Facing",
    "Clinical",
    "Diagnostic",
    "Administrative",
    "Patient-facing"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "clinicians",
    "nurses",
    "patients",
    "admins",
    "payers"
  ],
  "specialties": [
    "Radiology",
    "Cardiology",
    "Oncology",
    "Pulmonology",
    "Neurology",
    "Orthopedics",
    "Gastroenterology",
    "Dermatology",
    "Urology",
    "Obstetrics",
    "Gynecology",
    "Pediatrics",
    "Geriatrics",
    "Emergency Medicine",
    "Pathology",
    "Ophthalmology",
    "Ent",
    "Dentistry",
    "Anesthesiology",
    "Plastic Surgery"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Italy",
    "Spain",
    "Australia",
    "Japan",
    "South Korea",
    "China",
    "India",
    "Brazil",
    "Mexico",
    "South Africa",
    "Nigeria",
    "Egypt",
    "Saudi Arabia",
    "United Arab Emirates",
    "Israel"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Telugu",
    "Marathi",
    "Tamil",
    "Urdu",
    "Gujarati"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United States",
    "United Kingdom",
    "Germany",
    "France",
    "Italy",
    "Spain",
    "Australia",
    "Japan",
    "South Korea",
    "China"
  ],
  "company_founding": "2023",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Secure AI development environment",
    "Data discovery for AI/ML training and model validation",
    "HIPAA-compliant data governance and audit trails",
    "Full control over data access with instant revocation",
    "Data de-identification",
    "Local optimization and deployment of AI/ML models",
    "Sharing of de-identified data for multi-center AI/ML model development",
    "Patient-centric services via web, including opt-out from data use for AI/ML research",
    "Cohort builder and study explorer search engine",
    "Preconfigured development environments with sample data",
    "Import existing labels and masks from other platforms",
    "Viewers to validate training results while preserving PHI",
    "Use of popular cloud platforms with lower compute rates",
    "AI marketplace for compliant deployment across partner network",
    "Analytic package tracking usage, access, and model development"
  ],
  "optional_modules": [
    "Foundation Model",
    "Fine-Tuning Tooling",
    "Model Hosting Platform",
    "Quality Management System (QMS)"
  ],
  "integrations": [
    "PACS",
    "Medical Imaging Providers",
    "TensorFlow",
    "AWS"
  ],
  "data_standards": [
    "DICOM",
    "HL7",
    "FHIR",
    "SNOMED",
    "ICD-10"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "SOC 2 Type II",
    "ISO 27001",
    "GDPR"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 27001",
    "SOC 2 Type II"
  ],
  "security_features": [
    "Encryption at rest",
    "Encryption in transit",
    "RBAC",
    "Audit logs",
    "2FA",
    "DLP"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [
    "Sham Sokka, C"
  ],
  "user_reviews": [
    "HOPPR’s fine-tuning rapidly gave us a foundation model to move quickly and significantly reduce our development costs and improve our operational quality and effectiveness."
  ],
  "ratings": [
    "4.5/5 (60 reviews) - G2"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2023",
  "integration_partners": [
    "Snowflake",
    "Databricks Data Intelligence Platform",
    "Vertex AI",
    "SAP HANA Cloud",
    "SAS Viya",
    "Saturn Cloud",
    "Dataiku",
    "SuperAnnotate"
  ],
  "id": "SW1505",
  "slug": "hoppr-ai-platform",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/hoppr-ai-platform.json"
  }
}