Proof of Usefulness Report

Instill AI

Analysis completed on 1/23/2026

+415
Proof of Usefulness Score
Certified Problem Solver

Instill AI is a verifiable, VC-backed startup (Seed round $3.6M, ~$20M valuation) building useful 'Vision AI' data infrastructure (VDP). While the project has high real-world utility and technical legitimacy (confirmed via external search of GitHub and funding data), the submission itself is of extremely low quality. The submitter (IronFang) provided falsified traction claims ('most people have used my product') and lazy technical descriptions ('business-development'). The score reflects the high potential of the actual company, heavily penalized for the falsehoods and lack of effort in the submission.

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Score Breakdown

Real World Utility+212.5
Audience Reach Impact+40.0
Technical Innovation+120.0
Evidence Of Traction+37.5
Market Timing Relevance+90.0
Functional Completeness+2.5
Subtotal+502.5
Usefulness Multiplierx0.83
Final Score+415

Project Details

Project URL
instill.tech
Description
Instill AI is on a mission to make Vision AI highly accessible to everyone. We build tools to streamline the process of distilling the value of unstructured visual data across all stakeholders in the modern data stack, to ultimately benefit all size organisations.

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