Proof of Usefulness Report

Datakrew

Analysis completed on 2/6/2026

+65
Proof of Usefulness Score
You're In Business

Datakrew is a verifiable deep-tech startup backed by investors (approx. $1.2M funding, ~$17M valuation) and incubated at NTU Singapore, addressing a critical high-utility problem in EV battery analytics with its OXRED and ITUS solutions. However, the project submission quality was extremely poor, containing demonstrably false claims regarding audience ('everyone') and traction ('most people have used my product'). While the technology and market timing are excellent, the score is heavily penalized by the 'Quality Factor' due to these inaccurate inputs and the disparity between the claimed mass-market reach and the actual B2B industrial nature of the business.

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Score Breakdown

Real World Utility+22.5
Audience Reach Impact+4.0
Technical Innovation+12.75
Evidence Of Traction+7.5
Market Timing Relevance+9.5
Functional Completeness+0.25
Subtotal+56.5
Usefulness Multiplierx1.15
Final Score+65

Project Details

Project URL
Description
Datakrew is a deep-tech IP-backed company, focusing on real-time EV battery analytics using IoT and AI. We enable a data-driven approach for EV OEMs and fleets to extend vehicle lifespan by 20%, enhance battery safety by 50%, and increase asset resale value by 10% through timely AI-based optimization via alerts, warnings, and recommendations. Here’s an intro video: https://www.youtube.com/watch?v=QNkaHYQcmXk

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