Proof of Usefulness Report

Matters.AI

Analysis completed on 2/4/2026

+540
Proof of Usefulness Score
Industry Mainstay

Matters.AI is a verified, high-potential AI data security startup that recently raised ~$6.25M in Seed funding (2025/2026 timeline) from reputable investors like Kalaari Capital and Endiya Partners. The platform addresses a critical market need (DSPM, DLP) with an innovative 'AI Security Engineer' agentic approach. However, the project submission itself was of extremely poor quality, containing false claims ('team size 0', 'most people have used my product') and vague data ('audience: everyone'), which significantly reduced the confidence scores and Quality Factors. Despite the low-effort submission, the underlying project demonstrates strong utility, market timing, and technical validity.

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Score Breakdown

Real World Utility+90.0
Audience Reach Impact+25.0
Technical Innovation+85.0
Evidence Of Traction+35.0
Market Timing Relevance+95.0
Functional Completeness+5.0
Subtotal+58.75
Usefulness Multiplierx0.92
Final Score+540

Project Details

Project URL
matters.ai
Description
Matters.AI is an AI-native data security platform that functions as an AI security engineer, unifying various data security functions like DSPM, Insider Risk, DDR, Exfiltration Defense, and DLP into a single intelligent layer. It aims to protect sensitive data by understanding its context, monitoring behavior, and autonomously responding to threats across cloud, SaaS, and endpoint environments, preventing data exfiltration before it becomes an incident [1, 2, 8]. Founded in 2023, the company has received seed and pre-seed funding to fuel its research and development, expand into the U.S. market, and scale its engineering and customer success teams [7, 8].

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