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Kushy Scanner

AI-powered app for instant cannabis strain ID, quality grading, and plant health.

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Product memo

Kushy Scanner provides instant AI-powered analysis of cannabis buds, targeting both growers and consumers. It identifies strains, grades quality, and diagnoses plant health using advanced AI, including GPT-4o Vision and a proprietary KushyVision engine. This approach offers a quick, accessible way to verify cannabis characteristics and detect issues.

For who
Cannabis growers and consumers
Solves what
Instant AI-powered cannabis strain identification, quality grading, and plant health analysis.
  • AI strain recognition
  • Quality grading (A+ to F)
  • THC/CBD analysis

Operator & company

Company

Founded

May 2026

Operating model

Business model

Info Product

Platform

Mobile

Audience

Consumers

Builder strategy

ProvenRadar analysis

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About Kushy Scanner Expand

Kushy Scanner delivers instant AI-powered analysis for the cannabis market. It helps growers and consumers identify cannabis strains, grade quality from A+ to F, and analyze plant health.

The app uses advanced AI, including GPT-4o Vision and a proprietary KushyVision engine, to provide detailed insights. This focuses on accessibility and speed, allowing users to quickly verify product characteristics and detect issues like pests.

Its free-only model aims to build a wide user base, establishing the tool as a standard for cannabis verification and diagnostics.

In their own words

Identify & Grade Cannabis

Take a photo of any cannabis bud and get instant strain identification with quality grades (A+ to F), THC/CBD levels, trichome analysis, and detailed assessments powered by advanced AI technology.

Instantly with AI-Powered Analysis

Competitive context

5 peers · Same primary niche · Radar benchmark · Kushy Scanner #4237.

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Category
Utilities
Developer
Ethereal Incorporated
Download
Free download
Current version
1.28.0

Latest observed release

v1.28.0 · Jun 18, 2026

Minor bug fixes

Evidence sources