How does AI-powered MRI detect hidden defects in fruits?

MRI sees inside the fruit non-destructively. AI understands what it sees by analyzing complex MRI data with human-level expertise in a fraction of time, translating data to actionable insights to optimize grading outcomes based on internal quality.

What types of defects can be detected in watermelons?

The system can detect hidden impacts, monitor maturation levels, identify hollow heart defects, and measure Brix levels in watermelons.

What types of defects can be detected in avocados?

The system can detect internal browning, vascular browning, bruising and mechanical damage, rot, cooling damage, and early germination in avocados.

What types of defects can be detected in mangoes?

The system can detect internal browning, anthracnose, jelly seed, and soft nose defects in mangoes.

See what’s hidden inside

Revealing what is hidden underneath the surface

Q: How does the system integrate with existing production lines?

The AI-powered MRI system adapts seamlessly within existing production lines. Classification is customizable to specific quality standards, and it's effective at detecting defects regardless of the fruit variety.

Inside-out intelligence for transparent quality control

Consistent quality across all batches

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The problem

The cost of hidden defects

Hidden defects have costly consequences. Every returned load, customer claim, and hour spent re-sorting costs money, damages your brand, and creates unnecessary food waste. Today's sorting methods only see surface-level (or a few mm beneath at most). They fail to detect key internal defects deep inside the fruit, often challenged by natural variations in fruit size, shape, or stone/pit location.

OUR SOLUTION

Revolutionizing fruit quality control

Our AI-powered MRI detects hidden defects, ensures precise classification and grading, without damaging the fruit.

Scan non-destructively

Insights reveal what is hidden without causing damage.

Detect hidden defects

Internal issues, missed by conventional methods, are now identified and sorted out.

Ensure accurate grading

Quality and other relevant characteristics are automatically sorted.

Reduce waste & claims

Batch losses and operational inefficiencies are minimized.

Seamless integration, fully personalized grading

Our AI-powered MRI system adapts seamlessly within existing production lines. Our classification is customizable to specific quality standards, allowing reliable quality control from the inside out.

Fully integrates with existing production lines

Effective at detecting defects regardless of the variety

Customize detection for the specific internal defects that matter most.

Close-up of a white toothed conveyor belt mounted on metal rollers within industrial machinery.

Person wearing white gloves holding two ripe mangoes in a laboratory setting with various fruits including strawberries and pineapples on the table.

Scientist in white lab coat holding a watermelon on a tray near a large MRI machine.

Benefits

Tackling the global fresh produce waste challenge from the inside out

We are part of the solution to the global food waste challenge, where 1.25 billion tonnes are lost between harvest and retail. Our inside-out intelligence gives producers the power to assess internal fruit quality non-destructively.

REACH OUT

Maximize quality & reduce waste

Ship fruit with confidence to prevent product claims, strengthen your market position, and extend shelf life by selecting fruit at optimal maturity.

Unlock new value streams

Instantly separate fruit with internal defects for juice or other products, ensuring nothing is wasted and unlocking new revenue.

Build a more efficient supply chain

Fully automate your operations, eliminate bad fruit from shipments to reduce returned loads and cut distribution costs.

How we make it possible

The powerful combination  of MRI and AI

MRI sees inside. AI understands what it sees. Together, our AI and MRI translate complex biology into simple, actionable intelligence - non-invasively and at an industrial scale. This combination unlocks a new level of transparency in decision-making for a healthier, more sustainable world.