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CONNECTED FOOD INSPECTION
Turn inspection into production intelligence.
GreyscaleAI connects inspection results, images, history, and context so teams can make confident decisions faster.
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FROM DECISION TO UNDERSTANDING
Pass or fail is a decision. It is not an understanding.
GreyscaleAI gives teams the evidence and context to work through follow-up questions faster and make more confident decisions.
See the evidence
Review the inspection image, result, event history, and product context behind the decision.
Find the pattern
Compare related activity across products, lines, shifts, plants, and time to see what appears isolated and what may be recurring.
Decide with context
Give food safety, quality, operations, maintenance, and support teams a common record for deciding what comes next.
THE GREYSCALEAI PLATFORM
One connected loop from line inspection to informed action.
HRX systems capture inspection images. Product-specific AI analyzes them. Insights brings evidence, events, trends, system health, alerts, and support into a reviewable workflow.
Explore the Platform
CHOOSE YOUR STARTING POINT
Go straight to the question you need answered.
Start with the production problem, software workflow, physical inspection system, or real application proof.
Applications
Start with food safety, product quality, package integrity, weight and count, quality assurance review, or production analytics. View ApplicationsInsights Software
See how teams review inspection images, AI decisions, events, alerts, machine context, dashboards, and trends. Explore Insights SoftwareInspection Systems
Review the HRX system family and the product, package, line-speed, and environment factors that shape fit. View Inspection SystemsCase Studies
See application-specific proof for bone detection, product-in-seal inspection, and dent detection. View Case StudiesPROOF IN PRODUCTION
Real inspection challenges. Image-backed answers.
Explore how application-specific X-ray image analysis distinguishes difficult product and package conditions in production.
FOREIGN MATERIAL / PROTEIN
Distinguishing bone from normal poultry variation
See how the model separated true bone signals from cartilage, tendon, overlap, and other normal product structure. Read bone detection
PACKAGE QUALITY
Finding product in the seal region at line speed
See how subtle seal-area events were separated from clean seals and normal package or fill variation. Read product-in-seal
PACKAGE QUALITY
Separating dent events from foreign material
See how a canned-product dent became its own reviewable quality signal instead of a generic reject. Read dent detectionINDUSTRIES
Built around the products and production environments you run.
Explore category-specific applications, fit considerations, Insights workflows, and relevant proof.
TALK THROUGH FIT
Bring us the product, package, line speed, and inspection goal.
We will help define the inspection system, application, Insights workflow, and validation plan to evaluate for your line.