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next-gen food intelligence

Elevating Food Beyond Human Vision

Beyond combines hyperspectral imaging and AI for precise contaminant detection and real-time quality insights, improving food safety and reducing losses.

Hardware-Agnostic · Data-Driven · Industry-Proven

The Problem

Food Safety Is Flying Blind

The food industry inspects less than 1% of products on the line. The rest? Trusted to human eyes that can't see molecular-level contamination. It's a system that relies on statistical safeguards, awaiting scientific precision.

Reactive, Not Preventive

Current food safety relies on periodic sampling. By the time a contaminant is detected, thousands of units have already shipped.

Invisible Threats

Allergens, chemical residues, and early-stage spoilage are invisible to the human eye, and to conventional cameras.

Costly Recalls

A single recall can cost millions in destroyed product, legal fees, and irreparable brand damage.

The Beyond Shift

What if every single item on the line could be inspected, at the molecular level, without slowing production?

Human Vision

Sees surface only

Beyond Vision

Sees molecular composition

The Solution

Three Steps to Total Insight

Beyond Intel™ AI platform, the first dedicated to the food industry, turns any hyperspectral camera into an intelligent inspection system. Our software-first, hardware-agnostic approach delivers molecular-level analysis.

01
Capture

Capture

Hyperspectral cameras scan every item in the QA lab or on the production line, capturing hundreds of wavelengths invisible to the human eye.

02
Analyze

Analyze

Beyond Intel™ AI platform processes spectral data in real time, identifying contaminants, quality defects, and composition anomalies.

03
Act

Act

Instant alerts and actionable dashboards give your team the power to intervene without ever touching or destroying the product.

Three Pillars

Deeper Visibility at Every Level

Food Safety

Food Safety

Real-time, item-level detection of foreign materials, pathogens, chemical residues, and contaminants. Move beyond periodic sampling to total inline coverage.

Contamination detection based on spectral patterns

Food Quality

Food Quality

Precisely measure moisture, fat, sugar content, freshness, and texture consistency. Unlock better grading and sorting to minimize waste and maximize yield.

Ripeness and quality grading via spectral analysis

Food Authenticity
Cod
Black Sole
Tilapia
Halibut
Haddock

Food Authenticity

Protect brand integrity by verifying product authenticity and detecting adulteration or fraud. Confirm the product's origin and ingredient composition.

Fish species verification through spectral fingerprinting

Cintech Agroalimentaire
Food Tech Factory

Built on Extensive Food Science Foundations

Beyond was born within Cintech Agroalimentaire, one of Canada's premier food innovation research centers. After years of R&D in hyperspectral imaging, our team spun out via Food Tech Factory to deliver lab-grade technology to production floors.

We blend Cintech's scientific rigor with Food Tech Factory's startup agility, merging deep domain expertise and rapid product development.

Competitive Advantage

This partnership gives us a unique "Food-First" DNA. We don't just understand pixels; we understand food chemistry, regulatory hurdles, and the reality of high-volume manufacturing.

The Team

The Minds Behind the Mission

The Beyond team in the hyperspectral imaging lab

At Beyond, our team brings together a rare combination of deep food science expertise and cutting-edge AI technology. We are building one of the most advanced hyperspectral imaging (HSI) libraries in the industry, with over 40 validated use cases across food quality and safety.

Our multidisciplinary group includes experts in microbiology, spectroscopy, imaging, machine learning, software development, business, and regulatory affairs. This enables us to seamlessly transition from scientific discovery to real-world deployment in the food industry. This unique convergence of skills allows us to solve complex challenges others cannot, accelerating the future of food intelligence.