Proof of Usefulness Report

Inferret Limited

Analysis completed on 2/28/2026

+649
Proof of Usefulness Score
Category Standard

Inferret Limited is a verified UK-based R&D firm specializing in embedded speech recognition (SpeechFoundry). External search confirms their technology powered voice features in Nintendo DS titles (e.g., English Training), verifying the claim of 'millions of users' and licensing by large Japanese IT companies. While the submission quality was extremely poor (vague claims, lack of data), the underlying project demonstrates high utility, significant historical reach, and sophisticated deep learning technology suitable for privacy-focused embedded systems (automotive, education). The reported financial figure likely represents annual revenue or valuation (~£2.5M), consistent with a sustainable 30-person boutique agency.

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Score Breakdown

Real World Utility+102.0
Audience Reach Impact+80.0
Technical Innovation+96.0
Evidence Of Traction+40.0
Market Timing Relevance+60.0
Functional Completeness+5.0
Subtotal+721.5
Usefulness Multiplierx0.9
Final Score+649

Project Details

Project URL
inferret.com
Description
We specialise in automatic speech recognition, natural language understanding, image and face recognition technology for both cloud-based and embedded systems. Our technology uses state-of-the-art data-driven deep learning techniques and has been licensed by several large IT companies in Japan where it is currently used every day by millions of people. We offer consulting, research & development, and technology licensing services. We are a small company and can easily tailor our services to match the customer's needs.

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