AI-powered apple quality assessment Made for Kashmir's cold stores

Apple Quality. Assessed in seconds.

AI-powered computer vision that makes apple quality assessment faster, more consistent and data-driven.

Use Malus Lens
Counts every apple Grades A / B Report in one tap
Malus Lens · AssessmentSample
Grade A68%
Grade B32%
Photos 5Status Done
Crates of apples being received at a Kashmir cold-store intake yard
Built for the intake floor

For cold-storage teams who need quality data while the trucks are still at the gate.

  • Fast
  • Precise
  • Reliable
  • Sustainable
  • Data-Driven

01 / The problem

Quality assessment shouldn't slow down intake.

During high-volume intake, manually assessing quality can become time-consuming and inconsistent. Malus Lens is designed to help businesses make this process faster and more data-driven.

  1. Large volumes, all at once

    Crates arrive together, and every lot needs a decision.

  2. Time-sensitive decisions

    Fruit has to be assessed before it goes into storage.

  3. Manual inspection

    Quality is judged by eye, a handful of apples at a time.

  4. Variation between assessors

    Two people can read the same lot differently.

  5. Peak-season workload

    Pressure is highest exactly when there's least time.

Workers unloading crates of apples onto pallets at cold-store intake
Freshly received apples in a wooden bin at a Kashmir cold store
A crate of apples being opened for inspection at intake

Apple intake & cold storage, Kashmir

02 / The solution

Meet Malus Lens.

Malus Lens uses AI-powered computer vision to assess apple quality from images, helping businesses obtain fast, consistent and measurable quality insights.

  1. 01

    Capture

    Photograph sampled apples.

  2. 02

    AI assessment

    Computer vision identifies and classifies each apple.

  3. 03

    Quality data

    Clear, measurable results your team can act on.

03 / Benefits

Built for faster, smarter intake operations.

Want to see it on your own fruit?

04 / Operations

Designed around real apple operations.

Malus Lens is being developed with Kashmir's apple industry and cold-storage ecosystem in mind — for operations anywhere apples are received, assessed and stored.

05 / Performance

Built around measurable performance.

From image to insight.

Malus Lens combines computer vision and machine learning to identify and classify apples from captured images, turning visual inspection into structured quality data.

Malus Lens output
A tray of 102 apples photographed at intake, with Malus Lens detection boxes marking Grade A and Grade B apples
Detected0
Grade A0
Grade B0

06 / Product

See Malus Lens in action.

Mockup · sample data
Malus LensML

Good morning

Ready for intake

+
New analysisAssess a sampled lot

Recent

  • Lot —Sample analysis
    Done
  • Lot —Sample analysis
    Done
  • Lot —Sample analysis
    Done

07 / Why Malus Lens

Technology built for the realities of the apple industry.

Practical. Focused. Simple. Data-driven.

08 / Customer feedback

Built for the people closest to the operation.

09 / Vision

Building smarter agricultural operations.

We believe the future of agriculture will be increasingly powered by intelligent technology and better data. Malus Lens is starting with apple quality assessment — building practical AI tools that help agricultural businesses make faster, more informed decisions.

  • Practical AI
  • Agricultural innovation
  • Efficiency
  • Better decisions
  • Accessible technology
  • Data-driven operations

Starting with apples. Building for smarter agricultural operations.

Book a meeting

See what Malus Lens can do for your operation.

Talk to the Malus Lens team about your operation, see the product in action, and explore how AI-powered quality assessment can fit into your workflow.

Contact

Let's talk.

Questions about Malus Lens or your operation? Reach the team directly.

    Book a meeting