
Our Service
The AI Evaluation Service provides independent validation for AI healthcare products, delivering technical performance reports in weeks rather than years. Our goal is to help AI vendors reduce the time and cost of market entry and adoption.
Technical validation
Validate system and semantic interoperability with local data standards and formats.
Performance testing
Independently demonstrate AI performance on local populations including subpopulation analysis.
Budget impact analysis
Health economic model with inputs and assumptions to demonstrate ROI for your ideal customer.
Why It Matters
“AI adoption in healthcare is growing rapidly, but vendors often face challenges entering new geographies without robust performance evidence. Newton’s Tree bridges this gap with robust independent evaluation.”

Haris Shuaib
Founder & CEO, Newton's Tree
National Commission for AI Regulation (UK Government)
National Commission for AI Regulation (UK Government)
The Benefits
Increase local trust in your product
Hospitals want assurance that your AI will perform safely and reliably on their own patient population. Our independent performance testing gives buyers the confidence they need to move forward.
Understand bias and strengthen your product
With access to a global network of hospitals and the ability to run multi-centre trials, we help you uncover performance variation across populations and clinical settings.
Accelerate time to market
Most hospitals lack the capacity or capability to test AI products locally. Newton’s Tree provides credible, independent performance results upfront, removing a major barrier to procurement and shortening your sales cycle.
Initial Validation Sites










How It Works
Step 1
Vendor registers interest.
Vendors start by submitting an expression of interest (EOI) detailing their evidence generation requirements, including which geographies and patient populations are of interest. This EOI is reviewed by our internal Clinical AI team in collaboration with our hospital partners.
Step 2
Evaluation plan designed with hospital partners.
Our Clinical AI Team work with you to design a robust test plan that will demonstrate your technology's performance with statistical confidence. The plan includes defining success metrics, patient populations, reference standards, and subpopulation analyses.
Step 3
Technical validation and performance testing.
We carry out technical validation and performance testing using real-world clinical data in our secure sandbox environment. This includes verifying interoperability and performance analysis.
Step 4
Report delivered to accelerate market entry and adoption.
We compile all findings into an evidence-based report that vendors can use to support market entry and adoption. It includes technical results, clinical performance insights, and budget impact analysis to guide decision making.
REGISTER
Join the Waitlist
Secure access for early evaluation slots and global multi-site study opportunities.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.