Proof of Usefulness Report

Sentient Machines

Analysis completed on 1/29/2026

+102
Proof of Usefulness Score
Gaining Momentum

Sentient Machines is a verifiable, legitimate UK-based B2B AI company (founded 2016) delivering conversational intelligence for call centers, with verified clients such as Vonage. The project possesses high real-world utility and strong technical backing (PhD-led team). However, the specific project submission provided was of extremely low quality, containing demonstrably false claims ('everyone' audience, 'most people' traction) and nonsense data ('marketcap: null'). The score reflects the verified underlying potential of the business (Small but promising) heavily penalized by the low credibility of the submission's evidence.

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Score Breakdown

Real World Utility+21.25
Audience Reach Impact+5.0
Technical Innovation+12.75
Evidence Of Traction+38.5
Market Timing Relevance+9.0
Functional Completeness+0.25
Subtotal+86.75
Usefulness Multiplierx1.18
Final Score+102

Project Details

Description
Sentient Machines uses deep learning to bring customer understanding to the call centre industry. Leveraging recent developments in deep learning, our cloud-based speech analytics platform interprets and learns from customer call interactions, uncovering hidden trends, and enabling cost savings with real-time monitoring.

Algorithm Insights

Market Position
Growing utility with room for optimization
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