Proof of Usefulness Report

CynLr

Analysis completed on 1/19/2026

+378
Proof of Usefulness Score
Certified Problem Solver

Project verified as CynLr (Cybernetics Laboratory), a Series A deep-tech robotics startup based in Bangalore and Switzerland. The submission contained significant data entry errors (Name 'GoldenForge', currency confusion in revenue field, exaggerated traction claim 'most people have used my product'). However, external verification confirms high potential: raised ~$15.2M (valued ~₹209Cr/$25M), partnering with Denso and GM, and solving the 'Holy Grail' of robotic picking (random bin picking) with proprietary Visual Object Intelligence. The score reflects strong technical innovation and utility, penalized heavily for submission quality and the early stage of commercial revenue.

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Score Breakdown

Real World Utility+108
Audience Reach Impact+48
Technical Innovation+85
Evidence Of Traction+82
Market Timing Relevance+32
Functional Completeness+4
Subtotal+360
Usefulness Multiplierx1.05
Final Score+378

Project Details

Project URL
cynlr.com
Description
Today, even a simple task of putting a screw into a screw hole without slipping a thread remains non-automatable across the globe. Imagine what it would take for a robot to assemble a Smartphone or a car (Musk’s words) by putting together 1000s of parts of varied shapes and weights presented in random orientations. Enabling robots to perform Picking Orienting \u0026 Placing of objects straight from its container has been a long-standing unsolved problem – touted as The Holy Grail of Robotics and has remained unsolved over 40 years.\n\nWe at CynLr, build the missing pieces of Visual Intelligence for Robotic Arms to make them Object aware to manipulate with superior agility - adapting to the varying shapes, orientations and weights of the object – (a demo video link). This we envision could simplify and standardize large, customized factory lines into LEGO blocks of micro-factories.
Audience Reach
everyone
Target Users
everyone
Technologies
Robotics, Mobileappdevelopment, Media Production
Traction Evidence
most people have used my product

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