Proof of Usefulness Report

ApertureData

Analysis completed on 1/11/2026

+353
Proof of Usefulness Score
Certified Problem Solver

ApertureData (ApertureDB) is a legitimate, venture-backed ($11.2M total funding) infrastructure project addressing a critical bottleneck in multimodal AI data management. The technology (graph-vector database) has high real-world utility and innovation, evidenced by pilots with Fortune 100 companies (e.g., Badger Technologies). However, the project submission itself was of extremely low quality, containing demonstrably false claims (e.g., 'most people have used my product', audience reach 'everyone') and missing data. The score reflects the strong underlying technology and market timing, heavily penalized by the 'Quality Factor' for the unreliable and exaggerated submission details.

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Score Breakdown

Real World Utility+22
Audience Reach Impact+4
Technical Innovation+12
Evidence Of Traction+10
Market Timing Relevance+9
Functional Completeness+0
Subtotal+59
Usefulness Multiplierx0.99
Final Score+353

Project Details

Project URL
aperturedata.io
Description
ApertureData offers a novel data management platform designed for visual data, with interface specialized for Machine Learning and Expert Insights queries. We can replace the complex setup and maintenance necessary to store, search, and pre-process visual data and metadata (application-based, annotations, feature vectors). Our Platform offers pre-processing and integration of common ML tasks over these assets seamlessly. Our unified approach can help speed up visual search and access by up to 35x. The combined result is an earlier go-to-market, and a reduction in the ML platform engineering footprint as well as the technical debt when deploying visual ML-based applications.
Audience Reach
everyone
Target Users
everyone
Technologies
Machine Learning, Analytics, Software Development
Traction Evidence
most people have used my product

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