Proof of Usefulness Report

Emplay

Analysis completed on 1/20/2026

+645
Proof of Usefulness Score
Category Standard

Emplay (emplay.net) is a verifiable, established B2B Artificial Intelligence company with estimated annual revenue of ~$10M and 50-100 employees, significantly exceeding the 'Comparable scale' calibration. However, the submission itself contained critical inaccuracies, such as claiming 'most people have used my product' (false for B2B) and listing 'blockchain' (unsupported by external audit). The score reflects the high real-world utility and verified traction of the business, heavily penalized by low Quality Factors due to the poor and inaccurate submission data.

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Score Breakdown

Real World Utility+270.0
Audience Reach Impact+96.0
Technical Innovation+52.5
Evidence Of Traction+142.5
Market Timing Relevance+90.0
Functional Completeness+5.0
Subtotal+656
Usefulness Multiplierx0.98
Final Score+645

Project Details

Project URL
Description
Humans are naturally curious and learn by asking questions.\n\nHowever, answers are organized in chapters and paragraphs, distributed across multiple sources, and written in multiple formats.\n\nThis is why despite spending billions on enablement corporates struggle with employee and customer success.\n\n✅ What if, users could ask questions, in natural language, in the flow of work to get curated responses from a sea of content, data, and human conversations?\n\n✅ What if, users could be proactively and contextually nudged with turn by turn guidance on “what to do, when, and how” in a conversational format (not in big documents)?\n\n✅ What if, users could be enabled to take action post-learning, reminded to complete them, and connected to enterprise-wide resources via a single interface?\n\n✅ What if, all this could be achieved without spending a generation worth of content re-factoring effort, and without accruing monumental tools development and integration costs?\n\nWe solve a $100B employee and customer success problem by converting content into engaging, action-oriented conversations.\n\n

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