Proof of Usefulness Report

Newton's Tree

Analysis completed on 1/25/2026

+559

Proof of Usefulness Score

Industry Mainstay

Newton's Tree is a verified, VC-backed health-tech startup (approx. $4.15M raised) partnering with NHS trusts (e.g., Leeds Teaching Hospitals) to solve critical AI procurement and monitoring challenges. Despite the high real-world utility and strong market timing of their 'FAMOS' platform, the submission itself contained significant inaccuracies (claiming 'most people' have used it and citing a nonsensical market cap). The score reflects the project's high genuine potential and technical merit, heavily penalized for the low-quality and hyperbolic input data provided.

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Score Breakdown

Real World Utility+276.0

Audience Reach Impact+96.0

Technical Innovation+132.0

Evidence Of Traction+56.25

Market Timing Relevance+95.0

Functional Completeness+2.5

Subtotal+657.75

Usefulness Multiplierx0.85

Final Score+559

Project Details

Project URL

newtonstree.ai

Description

Newton’s Tree is a health tech startup that enables healthcare providers to procure, integrate, and monitor in-house and third party AI products as part of routine care pathways through its enterprise AI platform. We believe that to deliver healthcare sustainably we need to be able to radically reimagine healthcare delivery through the large scale adoption of safe and effective AI technologies. The company is led by a founding team with globally unique experience at the nexus of healthcare, AI technology, and cutting edge research. We work with the leading healthcare organisations that are bending the adoption curve for AI. We partner with AI developers and innovators across the globe throughout the product lifecycle to enable the development and deployment of the very best technology.

Algorithm Insights

Market Position

Strong market validation with clear user adoption patterns

User Engagement

Documented reach suggests active user community

Technical Stack

Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline