Proof of Usefulness Report

DareData Engineering

Analysis completed on 2/3/2026

+559
Proof of Usefulness Score
Industry Mainstay

DareData Engineering is a verified, high-growth AI consultancy (75+ employees, €3.1M+ revenue) with significant market traction in Portugal and internationally. The project demonstrates exceptional real-world utility and timing, servicing major clients like NOS and Coca-Cola. However, the submission itself was of poor quality, containing hallucinations ('everyone' audience, 'most people' traction) and metadata errors ('construction' tag), which necessitated heavy penalties on the Quality Factors for Reach and Response. Despite the sloppy submission, the underlying business is robust, justifying a score significantly above the calibration baseline.

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Score Breakdown

Real World Utility+212.5
Audience Reach Impact+96.0
Technical Innovation+72.0
Evidence Of Traction+180.0
Market Timing Relevance+95.0
Functional Completeness+2.5
Subtotal+658
Usefulness Multiplierx0.85
Final Score+559

Project Details

Description
Established in 2019, DareData Engineering is the fastest-growing AI company in Portugal. Our mission is to be the perfect partner for companies looking to unlock the potential of data-driven decision-making. We offer tailor-made AI solutions and a team of data-savvy experts with high technical expertise, capable of developing projects and coaching in-house teams. With a team of over 35 specialists, we operate in more than five countries across various sectors, including Pharmaceuticals, Telecommunications, Banking, Industry, Logistics, Government, FMCG, and Utilities. Our goal is to deliver excellence and help businesses achieve their growth potential through data.

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