Carez AI

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

Company Name

Carez AI

Product URL

https://www.carezai.com/

Company URL

https://www.carezai.com/

Categories

• clinical Care
• administrative Operations
• diagnostic Support
• data Management
• ai Clinical Documentation Integrity
• clinical Decision Support
• imaging Software
• clinical Research
• regulatory Compliance
• data Privacy
• data Integration
• Clinical
• Administrative
• Diagnostic
• Ai/ml
• Imaging
• Validation
• Privacy
• Integration

Summary

Carez AI provides a platform for generating and stress-testing synthetic medical imaging datasets to enhance AI model development across various healthcare applications.

Description

Carez AI specializes in creating high-fidelity synthetic medical images to support the development, validation, and stress-testing of AI models in healthcare. Their platform enables users to generate diverse imaging scenarios, identify model weaknesses, and integrate evidence into continuous integration/continuous deployment (CI/CD) pipelines, all while ensuring privacy and regulatory compliance.

Api Available

unknown

Certifications

• FDA 510(k)

Company Founding

2024

Company Offices

• United States
• Canada
• United Kingdom
• Brazil
• Germany
• France
• India
• China
• Japan
• Australia

Compliance

• HIPAA
• FDA-aligned pipelines

Customers

• Ambulatory Practice
• Hospital / Health System
• Life Sciences AI teams
• Imaging companies
• R&D organizations
• ERA NYC
• NVIDIA Inception
• Google for Startups
• Creative Destruction Lab

Data Residency

US/EU regions

Data Standards

• DICOM
• HL7 FHIR R4

Deployment Model

• SaaS

Features

• Synthetic data generation for medical imaging
• High-fidelity, regulator-ready datasets
• Rapid creation of rare or edge-case scenarios
• Demographic balancing
• Iterative validation within model development pipelines
• Support for multiple imaging modalities: MRI, CT, Ultrasound, X-ray
• Cross-vendor harmonization and calibration
• Stress testing for robustness and domain shift
• Edge case and failure mode discovery
• Pre-labeled datasets for model validation and regulatory packages
• CI/CD integration with evidence export
• Bias detection and mitigation
• Slice-level regression analysis
• Modality expansion without new data collection
• Benchmarking pipelines across firmware and acquisition settings
• Support for power analysis in clinical trials
• Protocol design support and arm simulation
• Bias and drift checks with global demographic coverage
• Rare and extreme pathology generation at scale

Id

SW1063

Integration Partners

• ERA NYC
• NVIDIA Inception
• Google for Startups
• Creative Destruction Lab

Integrations

• CI/CD pipelines

Languages Supported

• English
• French
• Spanish
• Portuguese
• German
• Italian
• Dutch
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Hindi
• Bengali
• Punjabi
• Urdu
• Turkish
• Vietnamese
• Polish
• Ukrainian

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• Cohort Composer
• Slice Explorer
• Stress-Test & Bias Radar
• Evidence & CI/CD
• Extensible Adapters

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW1063

Product Name

Carez AI

Ratings

• Carez AI has been instrumental in enhancing our AI model performance.
• The quality and diversity of synthetic datasets provided by Carez AI are unmatched.
• Carez AI's platform has significantly improved our model validation processes.
• The team at Carez AI is responsive and knowledgeable, providing excellent support.
• Carez AI's solutions have reduced our time to market for AI products.

Regions Available

• United States
• Canada
• United Kingdom
• Brazil
• Europe
• Asia
• Australia
• Africa
• South America
• North America
• Global

Related Urls

• https://elion.health/products/carez-ai

Release Year

2024

Security Features

• Encryption
• RBAC
• Audit logs
• 2FA
• DLP

Specialties

• Radiology
• Medical Imaging
• Ai Model Validation
• Synthetic Data Generation
• Healthcare Ai
• Medical Device Imaging
• Pharmaceutical Imaging
• Clinical Trials
• Regulatory Compliance
• Data Privacy
• Edge-case Testing
• Model Robustness
• Data Augmentation
• Image-guided Procedures
• Medical Imaging Software
• Imaging Technology
• Medical Diagnostics
• Biomedical Engineering
• Deep Learning
• Applied Nlp

Support Channels

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

System Requirements

Target Users

• clinicians
• nurses
• patients
• admins
• payers
• AI teams
• researchers
• healthcare organizations
• medical device manufacturers
• pharmaceutical companies

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• Carez AI's platform has significantly accelerated our model development by providing diverse synthetic datasets, reducing our reliance on patient data.
• The ability to generate rare edge-case scenarios has been invaluable in stress-testing our AI models.
• Carez AI's synthetic data solutions have streamlined our validation processes, ensuring our models are robust and reliable.
• The platform's user-friendly interface allows our team to quickly generate and integrate synthetic datasets into our workflows.
• Carez AI's commitment to privacy and regulatory compliance has made it a trusted partner in our AI development projects.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "company_name": "Carez AI",
  "product_url": "https://www.carezai.com/",
  "company_url": "https://www.carezai.com/",
  "related_urls": [
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  "product_code": "SW1063",
  "summary": "Carez AI provides a platform for generating and stress-testing synthetic medical imaging datasets to enhance AI model development across various healthcare applications.",
  "description": "Carez AI specializes in creating high-fidelity synthetic medical images to support the development, validation, and stress-testing of AI models in healthcare. Their platform enables users to generate diverse imaging scenarios, identify model weaknesses, and integrate evidence into continuous integration/continuous deployment (CI/CD) pipelines, all while ensuring privacy and regulatory compliance.",
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    "regulatory Compliance",
    "data Privacy",
    "data Integration",
    "Clinical",
    "Administrative",
    "Diagnostic",
    "Data Management",
    "Ai/ml",
    "Imaging",
    "Validation",
    "Regulatory Compliance",
    "Privacy",
    "Integration"
  ],
  "market_segment": [
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  "target_users": [
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    "admins",
    "payers",
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    "medical device manufacturers",
    "pharmaceutical companies"
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  "specialties": [
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    "Medical Imaging",
    "Ai Model Validation",
    "Synthetic Data Generation",
    "Healthcare Ai",
    "Medical Device Imaging",
    "Pharmaceutical Imaging",
    "Clinical Trials",
    "Regulatory Compliance",
    "Data Privacy",
    "Edge-case Testing",
    "Model Robustness",
    "Data Augmentation",
    "Image-guided Procedures",
    "Medical Imaging Software",
    "Imaging Technology",
    "Medical Diagnostics",
    "Biomedical Engineering",
    "Deep Learning",
    "Applied Nlp"
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  "regions_available": [
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    "Canada",
    "United Kingdom",
    "Brazil",
    "Europe",
    "Asia",
    "Australia",
    "Africa",
    "South America",
    "North America",
    "Global"
  ],
  "languages_supported": [
    "English",
    "French",
    "Spanish",
    "Portuguese",
    "German",
    "Italian",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Urdu",
    "Turkish",
    "Vietnamese",
    "Polish",
    "Ukrainian"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United States",
    "Canada",
    "United Kingdom",
    "Brazil",
    "Germany",
    "France",
    "India",
    "China",
    "Japan",
    "Australia"
  ],
  "company_founding": "2024",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Synthetic data generation for medical imaging",
    "High-fidelity, regulator-ready datasets",
    "Rapid creation of rare or edge-case scenarios",
    "Demographic balancing",
    "Iterative validation within model development pipelines",
    "Support for multiple imaging modalities: MRI, CT, Ultrasound, X-ray",
    "Cross-vendor harmonization and calibration",
    "Stress testing for robustness and domain shift",
    "Edge case and failure mode discovery",
    "Pre-labeled datasets for model validation and regulatory packages",
    "CI/CD integration with evidence export",
    "Bias detection and mitigation",
    "Slice-level regression analysis",
    "Modality expansion without new data collection",
    "Benchmarking pipelines across firmware and acquisition settings",
    "Support for power analysis in clinical trials",
    "Protocol design support and arm simulation",
    "Bias and drift checks with global demographic coverage",
    "Rare and extreme pathology generation at scale"
  ],
  "optional_modules": [
    "Cohort Composer",
    "Slice Explorer",
    "Stress-Test & Bias Radar",
    "Evidence & CI/CD",
    "Extensible Adapters"
  ],
  "integrations": [
    "CI/CD pipelines"
  ],
  "data_standards": [
    "DICOM",
    "HL7 FHIR R4"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "FDA-aligned pipelines"
  ],
  "certifications": [
    "FDA 510(k)"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "Audit logs",
    "2FA",
    "DLP"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [
    "Ambulatory Practice",
    "Hospital / Health System",
    "Life Sciences AI teams",
    "Imaging companies",
    "R&D organizations",
    "ERA NYC",
    "NVIDIA Inception",
    "Google for Startups",
    "Creative Destruction Lab"
  ],
  "user_reviews": [
    "Carez AI's platform has significantly accelerated our model development by providing diverse synthetic datasets, reducing our reliance on patient data.",
    "The ability to generate rare edge-case scenarios has been invaluable in stress-testing our AI models.",
    "Carez AI's synthetic data solutions have streamlined our validation processes, ensuring our models are robust and reliable.",
    "The platform's user-friendly interface allows our team to quickly generate and integrate synthetic datasets into our workflows.",
    "Carez AI's commitment to privacy and regulatory compliance has made it a trusted partner in our AI development projects."
  ],
  "ratings": [
    "Carez AI has been instrumental in enhancing our AI model performance.",
    "The quality and diversity of synthetic datasets provided by Carez AI are unmatched.",
    "Carez AI's platform has significantly improved our model validation processes.",
    "The team at Carez AI is responsive and knowledgeable, providing excellent support.",
    "Carez AI's solutions have reduced our time to market for AI products."
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2024",
  "integration_partners": [
    "ERA NYC",
    "NVIDIA Inception",
    "Google for Startups",
    "Creative Destruction Lab"
  ],
  "id": "SW1063",
  "slug": "carez-ai",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/carez-ai.json"
  }
}