Proof of Usefulness Report

SAIZ

Analysis completed on 2/16/2026

+298
Proof of Usefulness Score
Gaining Momentum

SAIZ is a legitimate, VC-backed (Seed round ~$2.7M) B2B SaaS platform addressing the critical issue of return rates in fashion e-commerce using AI-driven sizing technology. Independent verification confirms a team of ~30, significant funding, and adoption by major brands like Tom Tailor and Jack Wolfskin. However, the project submission itself was of poor quality, containing hyperbolic and inaccurate claims (e.g., 'most people have used my product', audience 'everyone'), which necessitated a penalty in the Response Quality and Traction Quality factors despite the project's strong underlying fundamentals.

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Score Breakdown

Real World Utility+85.0
Audience Reach Impact+52.0
Technical Innovation+45.0
Evidence Of Traction+67.5
Market Timing Relevance+36.0
Functional Completeness+2.0
Subtotal+287.5
Usefulness Multiplierx1.04
Final Score+298

Project Details

Project URL
Description
At SAIZ, we empower fashion brands to refine fit precision, reduce returns sustainably, and elevate customer experiences across all channels with integrated, data-driven solutions. By intelligently connecting product data with customer needs, we set new standards in sizing and fit strategies, creating measurable value across the entire value chain. Our innovative solutions provide seamless data integration across e-commerce, product development, merchandising, and retail, addressing sizing and fit at its root. By combining cutting-edge technology with deep analytics, we enable fashion brands to unlock smarter decisions and drive lasting impact. Dive into the future of fit-tech with SAIZ, and join us in reshaping the fashion landscape – one perfect fit at a time.

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