A rice sample tray and tablet showing GrainSight's estimated kernel composition, with a rice paddy field in the background
About Us

Simpler Quality Screening

GrainSight is being developed to help rice businesses perform faster and more consistent preliminary quality screening.

Our mission

Our mission is to make preliminary rice quality information easier to capture, understand and share — so every inspection starts with a fast, consistent first read.

Our vision

A rice trade where every sample gets screened, not just the ones with time for a lab. We're building the everyday first step for traders, buyers, mills, and quality teams — an instant estimate an inspector can verify in seconds and keep a clear record of.

Our story

GrainSight is being developed to help rice businesses perform faster and more consistent preliminary quality screening. Traditional rice inspection can require considerable manual work, specialized equipment, or laboratory analysis. While those methods remain important for certified and high-stakes decisions, many everyday screening workflows can benefit from a faster first assessment.

GrainSight uses modern artificial intelligence to visually evaluate submitted rice sample images and provide estimated quality indicators that inspectors can review and verify — giving traders, buyers, mills, and quality teams a consistent starting point before a purchasing decision, not a replacement for professional judgment.

The road here

  1. The problem

    Traditional rice inspection can require considerable manual work, specialized equipment, or laboratory analysis.

  2. The gap

    Those methods remain important for certified and high-stakes decisions — but many everyday screening workflows never got a faster first assessment.

  3. GrainSight

    Built to give inspectors an AI-assisted visual estimate they can review and verify, in seconds rather than hours.

What we stand for

The principles behind every decision we make.

Simple

Inspection should require minimal training.

Transparent

AI estimates and human corrections remain clearly distinguishable.

Practical

Technology should solve real inspection workflow problems.

Human-Controlled

AI supports inspectors rather than replacing professional judgment.

Be part of the story

Read how it works, or start screening rice quality with AI today.