Gradient Health
Gradient Health operates the Atlas platform, providing AI developers self-serve access to 20M+ de-identified medical imaging and multimodal clinical datasets sourced from a global hospital partner network for training, validation, and regulatory submissions.
- Company typePrivate
- Founded2021
- HeadquartersDurham, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Gradient Health does
Gradient Health, Inc. is a Delaware-incorporated medical AI data platform headquartered in Durham, North Carolina. Founded in 2018 and operating commercially since its 2022 seed round, the company runs the Atlas platform, a self-service marketplace that connects healthcare data partners (hospitals, imaging centers, and health systems across North America, Asia, Latin America, and increasingly Africa) with AI developers who need large, diverse, de-identified medical datasets for training, validation, and regulatory submissions. Atlas 2 provides searchable access to over 20 million imaging studies with an additional 30 million in progress or contracting, expanded DICOM tag support, series-level metadata, longitudinal patient-level search, and 48-hour delivery of machine-learning-ready data. The platform has been extended beyond imaging into multimodal data including EHR, pathology, laboratory, and ECG inputs.
The company operates a hybrid go-to-market combining a product-led self-serve funnel (7-day free trial, in-platform search and ordering) with enterprise field sales for large foundation-model and regulatory-grade buyers. Revenue is generated through subscription-based Atlas access, data licensing to AI developers, and revenue-sharing with data partners whose assets are used in customer projects, with pricing quoted per engagement. Distribution extends through Google Cloud Marketplace and channel partnerships including Protege (which generated seven-figure net new licensing revenue for Gradient in under a year) and Flywheel. Gradient also operates academic and research-oriented offerings including the Open Access Initiative for universities such as Stanford and Duke, and co-developed the ReXGradient-160K dataset and ReXrank public benchmark with Harvard Medical School's Rajpurkar Lab. The company is HIPAA- and SOC 2 Type 2-certified, has raised roughly $5.25M across disclosed seed rounds in 2022 and 2023, acquired DataAppraisal in 2024, and is led by CEO Josh Miller and CSO/co-founder Ouwen Huang alongside a CRO, CDO, and CPO.
Gradient Health firmographics
Firmographics- Name
- Gradient Health
- Legal name
- Gradient Health, Inc.
- Website
- https://gradienthealth.io
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Gradient Health operates the Atlas platform, providing AI developers self-serve access to 20M+ de-identified medical imaging and multimodal clinical datasets sourced from a global hospital partner network for training, validation, and regulatory submissions.
- Ownership category
- akta.pro rank
Gradient Health industry classification
Industry- Product category
- Medical Imaging Data Platform
- NAICS
- Research and Development in the Physical, Engineering, and Life Sciences (54171), Scientific Research and Development Services (5417), Other Scientific and Technical Consulting Services (54169)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Medical Imaging AI (HDAAAEAH)
- akta.pro secondary industries
- Real-World Data (RWD) / Real-World Evidence (RWE) & Observational Research Platforms (HLACAOAM), Clinical & Translational Informatics (Clinical Data Integration/Real-World Data for R&D) (HLAGAJAF), Dataset Discovery, Marketplaces & Licensing (HDAAALAE)
Keywords
Where Gradient Health is headquartered
LocationHeadquarters
- HQ city
- Durham
- HQ country
- United States
- HQ region
- North America
Offices3 records
Markets served
Gradient Health business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Subscription Services: Atlas platform subscription model where AI developers and companies pay recurring fees to access medical imaging and multimodal datasets. Initial period runs for one year with automatic month-to-month renewal thereafter. Subscription tiers determined by usage volume and data requirements.
- Data Licensing: Revenue generated from licensing de-identified medical datasets to AI developers for training, validation, regulatory submissions, and foundation model development. Data partners receive revenue share when their data is used in customer projects.
- Platform Access Fees: Fees charged for Atlas platform access beyond the Trial Period. Trial Period begins upon account creation with free access; conversion to paid subscription required for continued access.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free 7-day trial with platform access |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels8 records
Gradient Health product offering
Product offeringCore offering
Gradient Health operates the Atlas platform, a self-service medical imaging and multimodal clinical data platform that connects healthcare data partners with AI developers. The platform provides access to 20+ million de-identified imaging studies (with 30+ million more in progress or contracting), supports search by hundreds of DICOM tags, longitudinal cohort building, and delivers machine-learning-ready datasets in as little as 48 hours. Atlas has expanded beyond imaging to include EHR, pathology, laboratory, and ECG data for multimodal medical AI development, training, validation, and regulatory submissions.
Product overview
Gradient Health operates as a healthcare data platform offering access to de-identified medical datasets for AI development. The core product is Atlas (now in version 2), a self-service platform providing searchable access to millions of medical imaging studies, radiology reports, and longitudinal patient data. Atlas has expanded beyond imaging to include multimodal data capabilities covering EHR, pathology, labs, and ECG. The platform connects healthcare data partners with AI developers, enabling dataset discovery, cohort building, and export for model training, validation, and regulatory submissions. Associated offerings include the ReXGradient-160K dataset and ReXrank benchmark developed with Harvard's Rajpurkar Lab, plus an Open Access Initiative for academic researchers.
Differentiator
Problem solved
Functional benefit
Brands
- Atlas: Self-service medical imaging data platform for AI developers providing access to de-identified imaging, EHR, and multimodal datasets.
- Atlas 2
Products and services
- Atlas (including Atlas 2)
- ReXGradient-160K Dataset
- ReXrank Benchmark
Quantifiable outcome
- 20+ million imaging studies available immediately with 30M+ additional in progress or contracting
- +3 more outcomes
Companies that use Gradient Health
Customer profileNamed customers6 records
Segments4 records
Ideal customer profiles3 records
Gradient Health technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability6 records
Feature5 records
Gradient Health partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core and supporting.
- DataFirstcoreStrategic partnership announced November 6, 2025 enabling imaging providers to share de-identified medical data for AI development through DataFirst's Silverback Workflow Engine and Gradient's Atlas platform. Partnership aims to address health inequalities by making it easier for providers of all sizes to participate in medical AI innovation.
- ProtegecorePartnership making Gradient Health imaging datasets available through Protege's AI training data platform, enabling multimodal and longitudinal dataset creation for developers in oncology, radiology, and chronic disease management. Protege highlighted partnership generated seven-figure net new licensing revenue for Gradient in under one year.
- FlywheelsupportingPartnership announced to integrate Gradient Health medical imaging data with Flywheel's data management platform for AI development workflows.
- Rajpurkar Lab at Harvard Medical SchoolcoreResearch collaboration producing ReXGradient-160K, the largest publicly available chest X-ray dataset with 160,000 studies from 109,000+ patients across 3 U.S. health systems and 79 medical sites. Also collaborated on ReXrank benchmark for AI radiology report generation evaluation.
- Stanford UniversitycoreAcademic research partnership through Open Access Initiative where Kevin Wu and Eric Wu investigate bias within radiology AI using Gradient's diverse chest X-ray datasets. Stanford received over 10,000 chest X-ray images for bias research.
- Duke UniversitycoreAcademic research partnership where Dr. Josh Helmkamp partners with Gradient Health to further research into orthopedics through the Open Access Initiative.
- Google Cloud MarketplacesupportingAtlas platform available on Google Cloud Marketplace for convenient access and procurement by GCP customers.
Scale indicators8 records
Recent moves7 records
Expansion highlights6 records
Gradient Health competitors and assessment
Company assessmentDirect peers
- Segmed: Segmed is a medical imaging data marketplace that provides de-identified, structured imaging datasets to AI developers and life sciences companies. It is the closest direct competitor to Gradient Health's Atlas platform, with overlapping customer segments in medical AI startups, foundation model teams, and clinical research organizations.
- MedCognetics: MedCognetics provides de-identified medical imaging datasets and AI training data services for healthcare AI developers. It competes head-to-head with Gradient in sourcing and licensing imaging data for training and validation of clinical AI models.
Broad incumbents
- Tempus Labs: Tempus is a large-scale healthcare data and AI platform that aggregates multimodal clinical, molecular, and imaging data for precision medicine. While broader than Gradient's imaging-first focus, it overlaps on the multimodal clinical data licensing use case for AI developers and life sciences customers.
- Health Catalyst: Health Catalyst is a healthcare data and analytics platform serving health systems with large-scale clinical data assets. It is a broad incumbent in healthcare data licensing and analytics, with growing overlap into the AI training and validation use cases Gradient serves.
- IQVIA: IQVIA is the largest real-world data and real-world evidence provider, offering extensive clinical and claims datasets to life sciences and AI developers. While focused on RWD/RWE rather than imaging, it competes for the same enterprise AI and pharma budget Gradient targets with Atlas.
Emerging players
- Owkin: Owkin is a federated learning and AI platform for medical research that aggregates multimodal hospital data (imaging, pathology, omics) for AI model development. It is an emerging player intersecting with Gradient's multimodal medical AI data thesis, with a stronger focus on federated research collaborations.
- Cota Healthcare: Cota provides real-world oncology data and analytics to life sciences companies and AI developers. It has partial overlap with Gradient's clinical data licensing for AI development, particularly in oncology cohorts where Gradient has multimodal expansion plans.
Others
- Flywheel: Flywheel is a medical imaging data management and AI development platform for research and clinical teams. It is a Gradient technology and integration partner (rather than a direct competitor) and represents the broader category of imaging data infrastructure Gradient targets as a complement or alternative.
- Protege: Protege is an AI training data platform that licenses datasets (including Gradient's imaging data) to AI developers. It is a Gradient distribution partner rather than a competitor, but is thematically comparable as a data marketplace platform for AI model development.
Regional players
- Rad AI: Rad AI is a radiology AI company that builds and deploys clinical AI models for radiology reporting. While it is primarily a downstream AI consumer of medical imaging data (and thus a Gradient customer/peer in the medical AI ecosystem), it represents the type of foundation model-adjacent customer Gradient explicitly targets in its enterprise segment.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat3 records
Key risks6 records
Key highlights7 records
Customer concentration
Gradient Health social profiles
Digital presenceGradient Health compliance and trust
Trust signalCompliance2 records
Gradient Health financial estimates
Financial estimateRevenue estimate
Valuation estimate
Gradient Health leadership team
Management profileNumber of profiles
Profiles5 records
Gradient Health subsidiaries and ownership
Company hierarchySubsidiaries1 record
Gradient Health funding detail
Funding detailFunding overview
Funding rounds6 records
Investors13 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Gradient Health M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Gradient Health
What does Gradient Health do?
Gradient Health operates the Atlas platform, a self-service medical imaging and multimodal clinical data platform that connects healthcare data partners with AI developers. The platform provides access to 20+ million de-identified imaging studies (with 30+ million more in progress or contracting), supports search by hundreds of DICOM tags, longitudinal cohort building, and delivers machine-learning-ready datasets in as little as 48 hours. Atlas has expanded beyond imaging to include EHR, pathology, laboratory, and ECG data for multimodal medical AI development, training, validation, and regulatory submissions.
Is Gradient Health a public or private company?
Gradient Health is a private company. It is classified as venture growth investor backed and is currently operating.
When was Gradient Health founded?
Gradient Health was founded in 2021. It employs 11 to 50 people.
Where is Gradient Health based?
Gradient Health is headquartered in Durham, United States, in the North America region.
How does Gradient Health make money?
Three revenue lines are on record. Subscription Services are the primary driver. The others are data Licensing and platform Access Fees.
Who are Gradient Health's main competitors?
Direct peers on record are Segmed and MedCognetics. Broad incumbents are Tempus Labs, Health Catalyst and IQVIA. Emerging players are Owkin and Cota Healthcare. Others are Flywheel and Protege. Rad AI is listed as a regional player.
Does Gradient Health have an API?
No public API is recorded for Gradient Health.
What industry is Gradient Health in?
Gradient Health's product category is Medical Imaging Data Platform. Its primary akta.pro industry code is HDAAAEAH, Medical Imaging AI, with a secondary code of HLACAOAM, Real-World Data (RWD) / Real-World Evidence (RWE) & Observational Research Platforms. Its NAICS code is 54171 and its SIC code is 7372.