Kalix QC AI

Kalix QC

About this app

Kalix QC transforms subjective cannabis flower evaluations into standardized, objective quality intelligence.

Built for cultivators, distributors, retailers, brands, and quality assurance teams, Kalix QC uses proprietary artificial intelligence and computer vision to evaluate cannabis flower using a consistent, repeatable grading methodology.

Capture flower directly from your mobile device and receive standardized assessments across seven quality metrics—helping teams improve consistency, reduce subjectivity, and communicate quality using a common language.

Whether you’re reviewing a single harvest or monitoring quality across thousands of batches, Kalix QC provides measurable insights that support more consistent quality assurance workflows.

Evaluate Flower Across Seven Standardized Quality Factors

Every analysis includes independent scoring for:

• Trichome Coverage

• Structure

• Color

• Visual Freshness

• Density

• Size

• Trim Quality

Each category contributes to an overall Kalix Score, providing a standardized representation of flower quality.

The Kalix Score

The Kalix Score combines multiple visual quality characteristics into a single standardized assessment that enables professionals to:

• Compare batches consistently

• Track quality over time

• Improve cultivation consistency

• Standardize internal quality reviews

• Align teams around objective quality metrics

Instead of relying solely on individual experience or subjective opinions, Kalix QC provides a repeatable framework for cannabis flower evaluation.

Historical Quality Intelligence

Monitor quality trends over time with historical analysis.

Compare harvests, evaluate cultivation improvements, monitor consistency, and identify long-term quality patterns across your operation.

Built for Professional Cannabis Operations

Kalix QC is designed for:

• Cultivators

• Distributors

• Retailers

• Cannabis Brands

• Quality Assurance Teams

• Operations Managers

Whether you’re validating production quality, reviewing incoming inventory, or establishing internal quality standards, Kalix QC helps improve consistency across every evaluation.

AI Built Specifically for Cannabis

Unlike general-purpose image recognition systems, Kalix QC’s proprietary computer vision models were developed specifically for cannabis flower assessment.

The platform evaluates visual characteristics associated with flower quality, including trichome coverage, structural integrity, color, freshness, density, size, and trim precision.

Our mission is to establish a trusted, standardized framework for cannabis quality assessment across the industry.

Why Professionals Choose Kalix QC

• Standardized cannabis grading

• Objective quality assessments

• AI-powered computer vision

• Historical quality tracking

• Consistent quality reporting

• Faster quality reviews

• Reduced grading variability

• Improved operational consistency

Quality You Can Measure

For decades, cannabis quality has been communicated through subjective opinions.

Kalix QC is helping establish a measurable, repeatable standard for cannabis flower quality—bringing greater consistency, transparency, and confidence to professional quality assessment.

Important Information

Kalix QC is a professional quality assessment and analytics platform.

Kalix QC does not facilitate the purchase, sale, distribution, delivery, or marketing of cannabis products and is not a marketplace or dispensary.

Any quality benchmark information is provided solely for internal analysis and quality assessment purposes and should not be interpreted as pricing guidance, financial advice, or a recommendation to buy or sell cannabis products.

Availability may vary by jurisdiction. Users are responsible for complying with all applicable laws and regulations.

Developed in partnership with Biz4Group

© 2026 Kalix QC. All rights reserved.

What’s new

Camera Enhancement: Improved camera quality and focus.
Performance Improvement: Improved app performance.
Bug Fixes: Fixed camera and lighting-related issues.