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Perfect Timing
Every Time

RIYPE combines computer vision, sensor, and on-device multimodal machine learning to predict fruit ripeness with precision - reducing waste and optimizing supply chains.

MULTIMODAL
HAND-HELD
LOCAL EDGE AI
RIYPEOS

RIYPE

HandheldFruitRipenessPrediction

RIYPE Model 01
MULTIPLE DATA POINTS
RGB Snapshot
SPECTRAL
TEMPERATURE
REFLECTANCE
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COMPUTER VISION
SPECTRAL DATA
ENVIRONMENTAL DATA
MULTIMODAL INPUT
MULTIMODAL NEURAL PROCESSOR
INFERENCE

Ready to transport

82%

Good

Our Mission

Empowering farmers with precision-driven intelligence

At RIYPE, we believe that agriculture deserves the same rigor as any modern technology industry. Our handheld on-device AI-powered system uses computer vision and near-field spectroscopy to assess fruit ripeness and quality in real time - helping reduce the 40-50% of produce wasted annually across the agricultural supply chain.

Farmer using RIYPE technology

Capabilities

Built for the entire supply chain

Ripeness Detection
Optical and thermal imaging scans fruit in real time, generating a precise ripeness score for each unit in the batch.
Planning AI Prediction Models
Machine learning models trained on millions of data points forecast ripeness curves and optimal harvest windows.
Supply Chain Analytics
Dashboards give logistics teams visibility into produce quality at every transit stage, reducing spoilage losses.
RIYPEOS Platform
A purpose-built operating system that unifies device management, data pipelines, and reporting in one place.
Quality Assurance
Automated alerts flag batches that fall below quality thresholds before they reach retail shelves.
Perfect Timing
Coordinate harvest, transport, and shelf placement around precise ripeness windows - not guesswork.
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Reduction in post-harvest waste
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Ripeness prediction accuracy
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Faster quality decisions

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