QuantHealth vs Unlearn.AI (2026)
Both use machine learning to answer trial questions, and they answer different ones. QuantHealth simulates whole trials: it predicts how each patient would respond to an investigational therapy, drawing on a knowledge graph of drug biology and a real world database it sizes at 350 million lives, then rolls those predictions into a simulated result so a sponsor can test protocol, indication and enrollment choices before a study runs. Unlearn builds digital twins of trial participants. Its disease specific models forecast how each person would progress on control, and the forecast enters the trial's own analysis as a prognostic covariate. The European Medicines Agency qualified that method, PROCOVA, in 2022 for primary analysis of phase 2 and 3 trials with continuous outcomes, and the company now also markets twins as comparators in single arm studies. The practical difference is when the output is used. QuantHealth informs a decision before a study starts; Unlearn's twins sit inside the statistics of the study itself, which is why its regulatory qualification carries more weight for a buyer.
- Simulated trial results for protocol, indication and enrollment decisions before a study runs.
- More than 600 simulated trials reported, with simulated against actual results published for three phase 3 trials.
- Probability of technical success and market forecasting from the same models.
- Digital Twin Generators for 26 conditions, forecasting each participant's course on control.
- PROCOVA, qualified by the European Medicines Agency in 2022 for primary analysis of phase 2 and 3 trials.
- Delivery through a web application or inside the sponsor's own cloud, with company scientists working across design and analysis.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. QuantHealth and Unlearn.AI are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | QuantHealth | Unlearn.AI |
|---|---|---|
| Primary category | Clinical Trials AI | Clinical Trials AI |
| Founded | 2020 | 2017 |
| Headquarters | Tel Aviv, Israel | San Francisco, California, United States |
| Website | quanthealth.ai | unlearn.ai |
Side by Side
Select any grade to read the note behind it.
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Clinical trial simulation company with offices in Tel Aviv and Worcester, Massachusetts. Its platform predicts how individual patients would respond to an investigational therapy, drawing on a knowledge graph of drug biology and a real world database the company sizes at 350 million lives, and aggregates those predictions into a simulated trial result so sponsors can test protocol, indication and enrollment choices before a study runs.
Source: AI Health Index, September 2026
San Francisco company whose Digital Twin Generators, disease specific machine learning models trained on historical patient level data, forecast how each clinical trial participant would progress under control or standard of care from their baseline data. The forecast is used as a prognostic covariate in the trial analysis (PROCOVA, with Bayesian and repeated measures variants), which can raise power or reduce sample size in a randomized trial without introducing bias.
Source: AI Health Index, September 2026
Questions buyers ask
How do QuantHealth and Unlearn.AI work with the EHR?
For QuantHealth, the company's data framework integrates biomedical, clinical and epidemiological sources on its side.
With Unlearn.AI, the company says generators can run as a web application or inside the sponsor's cloud, and that twins are generated from baseline data already collected. It names no electronic data capture system, clinical data repository, CDISC standard or statistical platform it connects to, and does not describe how prognostic scores reach the analysis in a form the sponsor's statisticians or a regulator can reproduce. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
Which settings and specialties do QuantHealth and Unlearn.AI cover?
In QuantHealth's case, the evidence page claims coverage across therapeutic areas, clinical phases and treatment modalities, and case studies span oncology (head and neck, breast, multiple myeloma), inflammatory, metabolic and respiratory disease.
For Unlearn.AI, the technology page lists generators for 26 conditions across neurology, oncology, immunology, respiratory, metabolic and psychiatric disease, and the company sells into trial design, in-progress analysis and post-readout work for phase 1 to 3 studies. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
How much do QuantHealth and Unlearn.AI leave to the clinician?
With QuantHealth, the results go to clinical development, business development and portfolio teams as virtual trial readouts, enrollment curves and probability of success estimates; nothing is actioned on a patient.
In Unlearn.AI's case, the company now also markets digital twins as the comparator in single-arm studies and the design of externally controlled studies where randomization is not an option (solutions page; arXiv 2026, Digital Twins as Synthetic Controls in Single-Arm Trials), and a blog post says not every use of AI in trial analysis carries the same risk. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Trials AI page.
Both records were reviewed on this site in September 2026. Neither company publishes a price; both work through sponsor engagements, and QuantHealth's accuracy figures are measured by the company.
Ask both how often their predictions have been checked against the trial that actually ran, and who did the counting.