Proof of Usefulness Report

Promethium

Analysis completed on 2/17/2026

+653
Proof of Usefulness Score
Category Standard

Promethium is a legitimate, venture-backed (Series A, ~$34.5M raised) enterprise software company recognized as a 2024 Gartner Cool Vendor. The platform solves significant data utility problems using AI-native 'Data Fabric' technology, allowing organizations to query data without movement. While the project itself demonstrates high real-world utility, technical innovation, and market timing, the submission quality was exceptionally poor (e.g., claiming 'most people have used my product' and 'audience reach: everyone'). The score reflects the high intrinsic value of the technology and company traction, heavily penalized by the inaccuracy and laziness of the submission data.

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Score Breakdown

Real World Utility+90.0
Audience Reach Impact+30.0
Technical Innovation+85.0
Evidence Of Traction+90.0
Market Timing Relevance+95.0
Functional Completeness+10.0
Subtotal+73.25
Usefulness Multiplierx0.89
Final Score+653

Project Details

Project URL
promethium.ai
Description
With AI in the enterprise, businesses are demanding immediate access and insight from all their enterprise data, but are challenged because current generation pipeline-driven modern data stack tools and LLM models are too slow, expensive or inaccurate. Promethium enables data teams to deliver self-service data with instant and accurate data answers based on an Agentic Data Fabric. Promethium makes data teams more productive and accelerates the collaboration with the business while maintaining governance and control. Industry leaders like National Grid and Vital Farms rely on Promethium to deliver self-service data. Gartner named Promethium as a cool vendor for its agentic fabric in 2024. Learn more at www.promethium.ai.

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