Proof of Usefulness Report

Vijil

Analysis completed on 1/24/2026

+678
Proof of Usefulness Score
Category Standard

Vijil is a verified Series A startup (raised ~$23M from Mayfield, Gradient, etc.) founded by ex-AWS leaders, focusing on AI agent trust and security—a critical and timely problem. While the submission contained significant inaccuracies (e.g., claiming 'most people have used my product' and the name 'WhisperKeeper'), external validation confirms strong market traction, including a Gartner Cool Vendor designation and enterprise partnerships. The project demonstrates high utility and technical innovation, though the submission quality was poor.

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Score Breakdown

Real World Utility+22.5
Audience Reach Impact+10.0
Technical Innovation+13.2
Evidence Of Traction+20.0
Market Timing Relevance+9.5
Functional Completeness+0.5
Subtotal+75.7
Usefulness Multiplierx0.896
Final Score+678

Project Details

Project URL
Description
Vijil is an AI software startup on a mission to help developers build and operate intelligent agents that humans can trust. Many organizations today are drawn to the productive potential of AI agents but are held back from production use because the large language models inside have inherent vulnerabilities to attack and propensities for harm. For AI developers at enterprises and startups that want to measure and mitigate these risks, Vijil offers tools that continuously improve the trustworthiness of agents.

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