MDClone

Beer Sheba, Israel  All Israel companies → — Founded 2016
Healthcare Analytics / BI
Laboratory Medicine Pathology Radiology
Series C — $104M
Website Claim this company

Products

MDClone ADAMS
MDClone
Drug Discovery & Research
MDClone ADAMS is a self-service data analytics platform that enables secure exploration of healthcare data and generation of synthetic data for research, quality improvement, and AI development.
Contact for pricing

See all 1 product →

About MDClone

MDClone is a global leader in healthcare data technology, providing a self-service data analytics platform designed to empower healthcare institutions, researchers, and life science organizations. The core of their offering is the MDClone ADAMS Platform, which enables users to organize, access, and analyze complex patient data while rigorously protecting privacy through patented synthetic data generation. This innovative approach allows front-line staff, clinicians, and researchers to independently explore and investigate healthcare data, fostering rapid cycles of discovery and accelerating the transformation of ideas into actionable insights and measurable improvements in patient care.

For physicians, the MDClone platform facilitates dynamic data exploration, moving beyond traditional operational reporting to answer the ‘why’ behind clinical scenarios. It supports the use of both structured and unstructured data, including physician notes and PDFs, and integrates with various source data systems. The platform’s synthetic data capabilities allow for safe sharing of insights within and across health systems, and with external entities, enabling collaboration for research, education, and technology development without compromising patient privacy. MDClone also offers solutions for building AI models with synthetic data and powering national data sharing networks, aiming to leverage data as a strategic asset for improving health outcomes.

Focus Areas

Healthcare data analytics synthetic data generation real-world evidence (RWE) research innovation privacy-preserving data access self-service data exploration AI models generative AI

Business Intelligence

Key InvestorsOrbiMed Israel Partners, Lightspeed Venture Partners, aMoon, Warburg Pincus, Viola Growth, Declaration Partners, New Dimensions Health
PartnershipsWashington University School of Medicine in St. Louis, Intermountain Healthcare, University of Chicago Medical Center, VHA Innovation Ecosystem, National Institutes of Health (NIH), The Ottawa Hospital, Jewish-General Hospital, Regenstrief Institute, Sheba Medical Center, McGill University Health Centre, Universitätsspital Basel (with Roche), Tectonic (Canada), Nova Scotia Health
TechnologyMDClone ADAMS Platform (self-service data analytics environment), synthetic data generation, continuous data feeds, longitudinal data representation, unstructured data processing, natural language processing engine, integrated 3rd party analytics tools, ADAMS Copilot (Generative AI-powered data assistant)

What Physicians Need to Know

Healthcare Data Analytics
MDClone's ADAMS Platform provides a self-service environment for dynamic data exploration, analysis, and action, organizing vast amounts of healthcare data in real-time. It supports cohort creation, variable selection, comparative analysis, and handles both structured and unstructured data from various sources.
Synthetic Data Generation
A core specialization, MDClone's Synthetic Data Engine (SDE) generates artificial datasets that statistically mirror real-world data while ensuring complete patient anonymity and privacy. This enables secure data exploration, research, and sharing without exposing protected health information (PHI) or requiring extensive IRB processes.
Real-World Evidence (RWE) & Research
The platform accelerates research cycles, allowing clinicians and researchers to rapidly query electronic health record (EHR) data, define populations of interest, and derive insights for quality improvement and exploratory studies. Synthetic data is particularly valuable for facilitating multi-center research and collaborations.
Innovation & Collaboration
MDClone fosters a 'learning health system' by enabling secure and scalable data sharing across internal departments, different healthcare organizations, and with external partners. This overcomes traditional barriers like privacy regulations and siloed data, promoting collective innovation.
Privacy-Preserving Data Access
MDClone prioritizes patient privacy through its synthetic data engine, which creates non-reversible datasets, ensuring data utility without re-identification risks. Their Breach Observation Analyzer (BOA) further detects and removes private or sensitive data before it's exposed to cloud-based open-source or proprietary analytical SaaS solutions.
Self-Service Data Exploration
The ADAMS Platform is designed for independent use by any member of a healthcare team, including clinicians and administrators, allowing them to explore data and generate insights without requiring programming skills or relying on data experts.
AI Models & Generative AI
MDClone supports the development and training of AI models using synthetic data. They integrate generative AI tools, such as the ADAMS Copilot for data preparation, visualization, and insight generation, and the BOA product line enables the safe and secure use of cloud-based Large Language Models (LLMs) and generative AI with health data.
Physician Tip

MDClone empowers physicians by providing direct, self-service access to a comprehensive, longitudinal view of patient data, enabling them to independently explore clinical questions and cohorts without the typical delays caused by IT or data teams. This rapid access to insights supports real-time decision-making, optimizes treatment plans, and ultimately improves patient outcomes. The platform's privacy-preserving synthetic data allows physicians to conduct research, test hypotheses, and collaborate on multi-center studies efficiently and securely, bypassing lengthy IRB processes for initial exploration. Furthermore, it facilitates the safe leveraging of advanced AI and generative AI tools for predictive analytics and clinical decision support, fostering innovation directly at the point of care.

MDClone's ADAMS Platform is designed for broad compatibility, integrating with various healthcare data sources including Electronic Medical Records (EMRs), claims data, device data, and genomic information. It also supports connections with external, web-based data sources and is compatible with third-party analytics tools. The platform's architecture facilitates the safe use of cloud-based Generative AI solutions.

Products by MDClone

1 product in the directory

MDClone ADAMS
MDClone
Drug Discovery & Research
MDClone ADAMS is a self-service data analytics platform that enables secure exploration of healthcare data and generation of synthetic data for research, quality improvement, and AI development.
Contact for pricing

What the Web Says

MDClone is a healthcare data analytics company that offers the ADAMS Platform, a self-service tool designed to enable healthcare organizations to explore, analyze, and act on clinical and non-clinical data at scale. The platform is particularly noted for its synthetic data generation capability, which allows for secure data exploration and collaboration without compromising patient privacy. It is primarily used by data scientists, clinical researchers, quality improvement analysts, and population health specialists in large health systems and academic medical centers.

Overall: Positive

Strengths

  • Synthetic data generation removes privacy barriers and accelerates research and analysis.
  • Enables self-service data exploration for various users, reducing reliance on technical mediators.
  • Transforms complex healthcare data into usable and actionable insights.
  • Improves efficiency and flexibility in accessing and utilizing hospital records.
  • Supports clinical research, operational improvements, and patient care.
  • Offers a rich data ecosystem for seamless integration from numerous sources.

Limitations

  • Requires some training and proficiency gained through experience, with a steep initial learning curve.
  • More complex queries may require significant effort from the end-user.
  • Pricing is enterprise-only with no public transparency, potentially starting in the low six figures annually.
  • Implementation requires a mature data warehouse, active data governance, and dedicated IT resources.
  • Not suitable for small practices or organizations without dedicated analytics staff and robust data infrastructure.
  • Limited direct clinician sentiment as it's not a clinician-facing tool.

Based on reviews from: G2, MedAI Verdict, Elion, MDClone.com, OpenTools.ai, Reddit

Last updated: 2026-08-28

Videos

News, demos, and interviews about MDClone.

Loading videos...

Videos load interactively. If none appear, search YouTube for MDClone →

View all on YouTube

No press coverage or publications on file yet. Know of some? Suggest an edit →

Frequently Asked Questions

MDClone's ADAMS Platform provides a self-service environment that allows physicians and administrators to explore complex healthcare data. It achieves this securely by generating synthetic data that replicates the statistical characteristics of real patient data without containing any identifiable personal health information, thus preserving patient privacy.
Synthetic data are artificially created datasets that mirror the statistical properties and correlations of original patient data but contain no actual patient information, making re-identification virtually impossible. MDClone leverages this to accelerate real-world evidence generation, research, and innovation by enabling faster hypothesis testing, model building, and clinical trial development, often streamlining or bypassing lengthy IRB processes.
MDClone addresses generative AI concerns with its ADAMS Copilot, an AI-powered assistant that operates securely within a customer's own data environment, behind their firewall. This architecture ensures sensitive patient data never leaves organizational control, allowing healthcare organizations to leverage generative AI and large language models (LLMs) for analytics while maintaining high standards of privacy, governance, and regulatory compliance like HIPAA.
MDClone's primary product is the ADAMS Platform, which includes its Synthetic Data Engine and the recently launched ADAMS Copilot. These tools empower users to organize, access, and analyze data dynamically, fostering innovation by enabling secure data sharing and collaboration across internal teams and external partners, including life science organizations, without compromising patient privacy.
MDClone's technology is designed with stringent privacy and compliance in mind, particularly through its synthetic data generation process. The synthetic data is non-reversible and cannot be traced back to individual patients, ensuring compliance with regulations like HIPAA and GDPR by eliminating the risk of re-identification inherent in traditional de-identification methods.
MDClone has established partnerships with numerous prominent health systems and academic institutions globally, including Washington University, Intermountain Healthcare, and Sheba Medical Center, and also collaborates with life science organizations. Founded in 2016, MDClone is a Series C company that has raised $104 million in funding from leading investors such as Warburg Pincus, Lightspeed Venture Partners, and Orbimed, indicating strong financial backing and growth.

Investors

Who's funded MDClone.

Pitango HealthTech
VC AI T1
Herzliya, Israel
$5M-$25M
Pitango HealthTech is the dedicated healthcare arm of Pitango Venture Capital, the largest and one of the most established venture firms in…
AI/ML in Healthcare Digital Health

Related Companies

QuickIntell
Chicago, IL, USA

QuickIntell is an AI-first healthcare technology company dedicated to transforming healthcare operations for physicians and healthcare providers. The company leverages advanced AI agents, including Computer Vision, Machine Learning, Optical Character Recognition (OCR), and Natural Language Processing (NLP), to streamline administrative workflows and enhance Revenue Cycle Management (RCM). QuickIntell’s solutions are designed to reduce administrative burden, […]
Ease Tax Relief
Kulpsville, PA

Ease Tax Relief, founded in 2016, is a tax relief and resolution company based in Harleysville, PA. The company specializes in helping individuals and small businesses resolve issues with the IRS, offering services such as Offer in Compromise, Partial Pay Installment Agreements, Payment Plans, and Penalty Reduction. Owned and operated by Zheng Yang, a CPA […]
CAIMed (Niedersächsisches Zentrum für KI und Kausale Methoden in der Medizin)
Hannover, Germany (Lower Saxony region)

CAIMed, the Lower Saxony Center for Artificial Intelligence and Causal Methods in Medicine, is a research institution dedicated to advancing personalized healthcare through innovative AI and causal methodologies. The center aims to address widespread diseases such as cancer, cardiovascular diseases, and infections by linking research data, clinical data, and patient care data. This integrated approach, […]
Autoderm
Berkeley, United States and London, United Kingdom. European office in Barcelona, Spain and Gothenburg, Sweden.

Autoderm is a health technology company that provides a CE-marked AI dermatology screening API designed to analyze smartphone photos for various skin conditions. The company’s AI models are trained on a proprietary database of amateur smartphone images of skin diseases and are accessible via an API that can be integrated into various platforms, including electronic […]
OCTA
London, UK

OCTA is an AI-powered finance automation platform that aims to streamline financial operations and accelerate cash flow for businesses, particularly SMEs and enterprises in the Middle East, with a strong presence in the UAE and Saudi Arabia. The platform utilizes AI agents to automate tasks across the entire contract-to-cash cycle, including contract creation, e-signing, invoicing, […]
Fraunhofer-Gesellschaft (Fraunhofer AICOS) / PALMX APPS LTD / Skin Analytics
London, United Kingdom

Skin Analytics is a British health technology company dedicated to the early and accurate diagnosis of skin cancer, aiming to reduce mortality from the disease. They achieve this through their flagship product, DERM, an AI-powered medical device. DERM is designed to provide dermatologist-quality skin cancer assessments, making them more accessible and reducing the burden on […]
Suggest an Edit →
AI Tool Finder
AI-powered search. Results may not be comprehensive.