Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
QuantHealth
AI clinical trial simulation platform that models trial outcomes in silico to support protocol design and go/no-go decisions.
QuantHealth, founded in 2020 and headquartered in Tel Aviv, Israel, simulates clinical trials in silico using an AI model trained on large-scale patient and molecular data, helping sponsors pressure-test protocol designs and portfolio decisions before running the trial. It raised a $15M Series A and later took strategic investments including Accenture Ventures and, in October 2025, Sanofi Ventures. Simulation outputs are predictions and should be validated against the sponsor's own historical data; Atlas found no vendor-held security certifications documented on its site.
- Headquarters
- Tel Aviv, Israel
- Founded
- 2020
- Deployment options
- cloud
- Website
- https://www.quanthealth.ai
- https://www.linkedin.com/company/quanthealthlabs
Categories
AI Use Cases
- Protocol Design Optimization
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents QuantHealth across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud
Pricing Transparency — Not documented by Atlas
Ask the vendor: What is your pricing model, and what drives total cost of ownership?
Implementation & Onboarding — Not documented by Atlas
Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?
Organization & Role Fit — Documented
Biotech Startup, Mid-Size Biotech, Large Pharma, Top 20 Pharma, R&D Leadership, Clinical Operations
Solution Scope — Documented
Trial Protocol Optimization
Company Viability — Partially documented
Series A, Founded 2020
Always ask the vendor
Not captured in Atlas data — confirm directly. Excluded from the score above.
Data Rights & IP
Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?
Model Credibility & Explainability
Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?
Questions to Ask This Vendor
- How are simulation predictions validated retrospectively against completed trials?
- Which therapeutic areas have the deepest training data?
- What inputs does a simulation require from our side, and how long does setup take?
- How are confidence intervals and model uncertainty communicated?