Proof of Usefulness Report

LiangDao

Analysis completed on 2/8/2026

+603
Proof of Usefulness Score
Category Standard

LiangDao demonstrates strong business fundamentals typical of a Series B deep-tech company, with a claimed team size of 350 and significant valuation metrics ($75M). The project addresses a high-utility problem in autonomous driving validation (LiDAR/3D sensing). However, the submission quality is notably poor, featuring hyperbolic and inaccurate claims regarding audience reach ('everyone') and traction ('most people have used my product'). The score reflects the strong underlying verification of the company's scale and technology, heavily penalized by the low quality of the specific submission evidence.

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Score Breakdown

Real World Utility+225.0
Audience Reach Impact+80.0
Technical Innovation+127.5
Evidence Of Traction+150.0
Market Timing Relevance+80.0
Functional Completeness+7.5
Subtotal+670
Usefulness Multiplierx0.90
Final Score+603

Project Details

Project URL
Description
LiangDao is a leading system solution provider based on cutting-edge 3D sensing technology, including perception solutions, test & validation, and data services for both autonomous driving and smart city applications. Pioneering the field, LiangDao has developed an end-to-end validation solution for autonomous driving, powered by AI automation. Our global customers include automotive OEMs, Tier-1 suppliers, and leading tech companies. Headquartered in Beijing, LiangDao has its European R&D center in Berlin, along with business operations centers in Shanghai and Munich. Globally, we strive to apply our innovative 3D sensing solutions to diverse challenges, aligning with our company vision to enlighten future mobility.

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