Proof of Usefulness Report

Redactive AI

Analysis completed on 2/4/2026

+719
Proof of Usefulness Score
Category Standard

Redactive AI is a verified, high-value enterprise security platform that raised $7.5M in Seed funding (2024) and was acquired by RecordPoint in October 2025. While the user submission contained significant inaccuracies (claiming 'everyone' as the audience and 'most people' as users), external analysis confirms strong real-world utility in the GenAI security space, robust technical innovation regarding permissioning for LLMs, and a successful exit, justifying a high score despite the poor quality of the submission data.

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Score Breakdown

Real World Utility+21.25
Audience Reach Impact+10.0
Technical Innovation+12.75
Evidence Of Traction+22.5
Market Timing Relevance+9.0
Functional Completeness+0.25
Subtotal+75.75
Usefulness Multiplierx0.95
Final Score+719

Project Details

Project URL
Description
Redactive AI is an enterprise AI enablement platform designed to help regulated organizations securely prepare unstructured data for AI applications, such as AI-powered assistants and copilots. [1] The company's platform provides data connectors, authentication flows, and other infrastructure to allow developers to integrate AI models with live business data sources with data security and access controls. [3] It helps enterprises manage data threats and empower security teams through innovative use of generative AI. [15]

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