Proof of Usefulness Report

Enkrypt AI

Analysis completed on 1/24/2026

+266
Proof of Usefulness Score
Gaining Momentum

Enkrypt AI is a verified, venture-backed startup (raised ~$2.35M Seed in Feb 2024, led by BoldCap) founded by Yale PhDs. The platform addresses a high-utility problem: AI security, guardrails, and red-teaming for LLMs. While the project has significant backing and technical merit, the submission itself contained major inaccuracies (claiming 'everyone' as the audience and 'most people' have used it). The score reflects strong real-world utility, verifiable financial traction, and technical innovation, balanced against a penalty for the exaggerated user adoption claims in the submission data.

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Score Breakdown

Real World Utility+108.0
Audience Reach Impact+16.0
Technical Innovation+61.2
Evidence Of Traction+60.0
Market Timing Relevance+45.6
Functional Completeness+2.0
Subtotal+292.8
Usefulness Multiplierx0.91
Final Score+266

Project Details

Project URL
Description
Achieve AI security and safety with a platform that detects threats, removes vulnerabilities, and monitors performance for continuous insights.

Algorithm Insights

Market Position
Growing utility with room for optimization
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