- No public price. The site offers a demo only.
- Not disclosed
- Not disclosed
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- IL

MDClone
by MDClone · IL
Self-service healthcare data exploration platform (ADAMS) with synthetic data and an AI assistant (ADAMS Copilot).
On this page
- Regulatory & Compliance0/22
No FDA clearance listed
- Clinical Integration0/31.8
No EHR integrations listed
- Evidence Strength9.8/20
3 peer-reviewed papers
- Vendor & Market9/24
Early-stage company
- Sentiment & Transparency3/15
Pricing on request, no public amounts
▸ Show all 11 dimensions▾ Hide dimension detail
- FDA clearance0/12
No FDA clearance listed
- HIPAA / SOC2 / BAA0/10
No public HIPAA/SOC2/BAA attestation
- EHR integrations (count)0/18
No EHR integrations listed
- Top-3 EHR coverage (Epic / Oracle / Athena)0/10
None of the top-3 EHRs covered
- Bidirectional write-back0/4
No bidirectional write-back documented
- Peer-reviewed papers10/14
3 peer-reviewed papers
- RCT / meta-analysis / systematic review0/6
No RCT, meta-analysis, or systematic review
- Funding & adoption signal9/18
Early-stage company
- Years in market0/6
Founded year not recorded
- Clinician sentiment (Reddit)0/9
No clinician sentiment data available
- Pricing transparency3/6
Pricing on request, no public amounts
Self-service healthcare data exploration platform (ADAMS) with synthetic data and an AI assistant (ADAMS Copilot).
No public price. The site offers a demo only.
Bottom line
MDClone sells a self-service data exploration platform for health systems, built around synthetic data. An analyst or clinician can query patient data, build cohorts and share a synthetic version of the result without handing over real records. It is infrastructure for hospital analytics, research and quality teams, not a tool a clinician opens during a visit. It fits a health system with a data warehouse and an analytics team. A practice with neither has nothing to plug it into, and the price is available only through a demo request.
What is MDClone and who sells it?
MDClone describes its ADAMS platform as a "powerful, self-service healthcare data exploration environment" for collaboration, research and innovation (mdclone.com). ADAMS stands for Ask, Discover, Act, Measure, Share. The platform generates synthetic data meant to let teams "collaborate across teams, organizations, and even external third parties," and a generative-AI assistant called ADAMS Copilot helps with data preparation, visualization and mining. A services arm called Ask the Experts takes a data question and returns findings and recommendations within one week.
MDClone Ltd. is private and calls itself an Israeli startup in its own press release. Funding figures differ by source. A $15M round appears in a press release and $26M in BioSpace. A $63M Series C in March 2022 was led by Warburg Pincus and Viola Growth (Fierce Healthcare). Totals are $104M on Tracxn and $112M on PitchBook, and PitchBook lists about 100 employees. The Series C is the latest round on record. The newest items on its news page are a 2025 "Companies to Watch" selection and 2024 deployments. The founding year is not stated.
What does it do well?
Instead of waiting for a data extract, a team explores a cohort and shares a synthetic copy. MDClone's own documents say the synthetic data is "non-reversible" and allows analysis "independent of the IRB process." Those are vendor claims, and no independent validation of re-identification risk or of how well synthetic data preserves the signal in the original is cited.
The home page features three customer stories that the vendor selected. Intermountain Health used it for kidney disease management, with "86% of newly enrolled patients avoided hospitalizations." Sheba Medical Center used it for AI detection of intracranial hemorrhage, with lower mortality after the AI went live. Washington University used it for a cirrhosis mortality prediction model. These are vendor-selected case studies with no method attached.
What does the research say?
Three PubMed papers name the platform, and all of them used it to pull data for another question. They cover renal colic and high ambient temperature (Urolithiasis, 2024, PMID 38564058), osteoporosis documentation after hip fracture (BMC Musculoskelet Disord, 2026, PMID 41866492), and recurrent fractures in hip fracture patients (J Clin Med, 2025, PMID 41375797). None of these tests whether the platform gives accurate or safe answers. They show that researchers use it as an extraction tool.
How much does MDClone cost?
MDClone prices by demo request. The site offers a "See ADAMS in Action" form, and no pricing page exists as of October 2026. Trial and refund terms are not stated.
Who is it for?
A chief data officer at an academic medical center who wants to cut time on research data requests is the target buyer. A research analyst who has to share data with an outside collaborator is the daily user. HIPAA, SOC 2 and ISO 27001 status is not published. FDA clearance does not apply.
The verdict
Buy MDClone if you run a health system with a warehouse, a data team and a steady queue of research data requests, and a reference customer can show how the synthetic output was checked against source data. Skip it if you need independent proof that synthetic data preserves clinical signal, because the evidence today is vendor case studies and papers that use the platform without testing it.
Editorial review last generated October 15, 2026. Synthesized from clinician sentiment, peer-reviewed coverage, and our editorial silo picks. Refined by hand where vendor facts change.
What it costs
All tiers are custom-quoted. The vendor does not publish per-provider list pricing.
| Tier | Monthly | Annual | Notes |
|---|---|---|---|
| Enterprise | — | — | No public price. The site offers a demo only. |
Source: vendor pricing page. Last checked October 15, 2026.
What the literature says
3 peer-reviewed studies indexed on PubMed evaluate MDClone in clinical contexts. The most relevant are shown below, ranked by editorial relevance score combining title match, study design, recency, and journal tier.
- High ambient temperature impact on the pattern of emergency-room visits due to renal colic in the Middle East.
- Hemo O, Dotan A, Shvero A, et al.· Urolithiasis· 2024
- Urolithiasis has a seasonal pattern, with an established increase in incidence during the summer months. This study aims to assess the impact of high ambient temperatures on emergency room (ER) visits related to renal colic (RC) in a Middle Eastern country over the past decade. Population data were extracted using the MDClone Big Data platform. We recorded demographic and clinical data on all RC-associated ER visits from January 2012 to April 2023 and calculated the heat index (HI) that combines daily average coastal plane temperatures and humidity percentages. There was a total of 12,770 ER…
- Risk Factors for Recurrent Fractures in Hip Fracture Patients: A Big Data Analysis of Demographic, Clinical, and Functional Characteristics.
- Hershkovitz A, Maydan G, Kornyukov N, et al.· J Clin Med· 2025
- Individuals who have sustained a hip fracture are at an increased risk of experiencing a recurrent fracture. The issue of recurrent fractures in post-acute settings has been scarcely studied. Our aim was to identify independent predictors associated with fracture recurrence.Data were extracted from the Clalit Health Services Research Data Sharing Platform, powered by MDClone. Chi-square and t-tests compared categorical and continuous variables between the two patient groups. Logistic regression analysis was used to identify independent predictors of recurrent fractures following hip fracture.…
- Osteoporosis documentation following hip fracture: a retrospective cohort study from a tertiary hospital.
- Eden-Friedman Y, Lizeachin A, Gezunterman S, et al.· BMC Musculoskelet Disord· 2026
- Hip fractures are among the most common consequences of osteoporosis, yet adequate diagnosis in medical records remains suboptimal, and translation of documented osteoporosis into pharmacologic therapy is often incomplete. This study evaluated whether integration of a dedicated nurse practitioner into the orthopedic inpatient workflow was associated with improved osteoporosis documentation following hip fracture. A secondary, exploratory aim was to examine associations between documentation and downstream clinical outcomes. Data were extracted from the MDClone big data platform (ADAMS), and i…




