Proof of Usefulness Report

Jarvis ML

Analysis completed on 1/24/2026

+587
Proof of Usefulness Score
Industry Mainstay

Jarvis ML (now rebranding to Aidaptive) is a high-potential ML-as-a-Service platform for eCommerce, backed by $16M in Seed funding from Dell Technologies Capital. Founded by Rakesh Yadav (ex-Google Machine Learning lead), the project possesses exceptional technical pedigree and verified market traction. However, the submission itself is of remarkably poor quality, containing false claims regarding audience reach ('everyone') and traction ('most people have used my product'). The score reflects the high verifiable value of the technology and capital backing, significantly penalized by the lack of accurate detail in the input data.

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Score Breakdown

Real World Utility+212.5
Audience Reach Impact+40.0
Technical Innovation+127.5
Evidence Of Traction+170.0
Market Timing Relevance+85.0
Functional Completeness+2.5
Subtotal+637.5
Usefulness Multiplierx0.92
Final Score+587

Project Details

Project URL
Description
Jarvis MLis in the AI Infrastructure Industry

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