Proof of Usefulness Report

KanjuTech

Analysis completed on 2/3/2026

+46
Proof of Usefulness Score
You're In Business

KanjuTech is a verifiable early-stage deep tech startup (OIST Accelerator cohort 2020) working on neuroscience-inspired AI for physical systems (drones, IoT). However, the submission for 'ShadowRider' suffers critically from unsupported and likely hyperbolic claims (e.g., 'most people have used my product') which contradict the lack of verifiable public release or market presence. While the underlying technology (neuromorphic/SNN for audio separation) is promising and scientifically grounded, the project currently demonstrates minimal traction and the submission quality is low.

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Score Breakdown

Real World Utility+20
Audience Reach Impact+1
Technical Innovation+14.4
Evidence Of Traction+1.25
Market Timing Relevance+7.5
Functional Completeness+1.5
Subtotal+45.65
Usefulness Multiplierx1.01
Final Score+46

Project Details

Project URL
https://kanju.tech/
Description
KanjuTech creates next-generation neural networks using the latest advances in neuroscience. We dream of broader application of AI in everyday life and industry by making neural networks more adaptive and straightforward for setup and use. At KanjuTech, we combine neuroscience and machine learning to achieve the next generation of AI. The algorithms we use are as different from deep learning as deep learning is from mathematical statistics. KanjuTech’s vision is to empower people with a broader introduction of AI into life, freeing people from routine tasks and letting them be creative. Now we are working on a product for audio source separation and recognition to enhance speech communication and music production.

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