Proof of Usefulness Report

Cropler

Analysis completed on 2/3/2026

+305
Proof of Usefulness Score
Certified Problem Solver

Cropler is a legitimate AgTech startup based in Poland, offering AI-driven multispectral cameras for precision agriculture. External verification confirms tangible traction, including ~$150K in funding (PitchBook) and over 100 units sold to clients like Syngenta and Precision Planting. However, the project submission itself was of very low quality, containing factually incorrect claims such as an audience of 'everyone' and asserting 'most people have used my product,' which is impossible for a niche B2B hardware device. The score reflects the project's high technical merit and genuine utility in the agricultural sector, significantly penalized by the submission's lack of credibility and the early-stage nature of its reach.

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Score Breakdown

Real World Utility+15.0
Audience Reach Impact+1.0
Technical Innovation+9.0
Evidence Of Traction+3.75
Market Timing Relevance+5.6
Functional Completeness+0.25
Subtotal+34.6
Usefulness Multiplierx0.88
Final Score+304

Project Details

Description
We are Cropler - the world’s first agri-camera designed for AI plant monitoring that uses plants as a primary data source to provide personalized agricultural insights. Using plants as a data source, we help farmers and agronomists identify the key phenophases, crop the yields, and perform all the other agricultural operations timely by real-time AI-driven plant monitoring. We help agro-dealers increase their clients’ business efficiency by addressing personalized agricultural decision-making timely and lower their scouting costs by 50% by getting real-time plant-driven data.

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