Proof of Usefulness Report

Invisible

Analysis completed on 2/10/2026

+696
Proof of Usefulness Score
Category Standard

Invisible Technologies is a confirmed 'Unicorn' ($2B+ valuation, $134M revenue in 2024), ranking #2 on the Inc. 5000 in AI. They provide critical RLHF and data infrastructure for major AI providers (OpenAI, Microsoft, etc.). Despite a low-quality submission (typos, incorrect market cap field, vague 'everyone' claims), the underlying business metrics are exceptional and verifiable. The 'marketcap: 2500000' entry is a user error (missing zeros).

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Score Breakdown

Real World Utility+213.75
Audience Reach Impact+129.60
Technical Innovation+79.20
Evidence Of Traction+222.75
Market Timing Relevance+85.50
Functional Completeness+4.50
Subtotal+735.3
Usefulness Multiplierx0.95
Final Score+696

Project Details

Project URL
Description
Invisible Technologies is the AI operating system for the enterprise. Our end-to-end AI software platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates/measures impact, and mobilizes relevant human experts. Invisible has trained foundation models for more than 80% of the world’s leading AI model providers, including Cohere, Microsoft, and AWS, and we have the expertise to customize AI for any industry, function, or use case. Invisible makes AI work in the real world. In 2024, we reached $134M in revenue and were named the #2 fastest growing AI company on the Inc. 5000.

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