FreshX Technology The Future of Freshness

Startseite

Health protection · Food waste reduction

Protecting health. Reducing food waste. By making freshness measurable.

FreshX develops fast, data-driven intelligence for meat, fish and seafood – enabling safer decisions, less waste, and better use of valuable resources.

Safer decisions Reduce risky “guesswork”
Less waste Use food confidently
Practical speed Built for real workflows
Audience
B2C outcome
30-second scan
Result: 99.9% accurate Actionable in the kitchen
Clear status
Fast workflow
B2B outcome
Multi-point scanning
Output: Bacterial load map Batch-level decision support
10^1 cfu/mm²10^4 cfu/mm²10^8 cfu/mm²

Why the toggle exists

The mission stays the same – but the workflows and outputs are tailored. Switch in the bottom-right corner to view each experience.

Problem (B2C)

People throw away good food – and sometimes eat unsafe food.

Date labels, smell tests, and gut feeling are unreliable for meat, fish or seafood. The result is expensive waste and foodborne illness. Consumers need a simple, trustworthy decision tool – at home.

Food safety burden (global)
0
cases of foodborne
illness / year
0
deaths / year
0
of deaths are children under 5
Source: WHO
Waste + climate impact
0
of meat get’s trashed by consumers each year
0
CO₂ emissions
0
lost per person / year
Source: Meat waste · Household waste

Dates aren’t truth

“Use by” is conservative. Many products are still fine – but get discarded.

Smell isn’t enough

Early spoilage can be invisible. Some unsafe food doesn’t smell “bad” yet.

Expensive waste

Meat and seafood are premium items – uncertainty increases household loss.

Problem (B2B)

Quality controle for companies is slow, expensive and sample based.

Lab tests, visual inspection and spot sampling fail to represent real contamination across batches. The result is delayed decisions, high laboratory costs and avoidable waste. 

Traditional lab workflow
0
incubation time (classic plate count)
0
per-sample lab costs add up (often €50–€200+)
0
of costs needed for quality control
Sources: ISO 4833-1 (72h) · Example lab price list · Quality costs
Sampling limitations
0
often used to represent an entire batch
0
of meat products fail at least one criterion on expiry date
0
of damage for a single food recall
Sources: Sample frequency · Meat quality · Recall cost

Cost pressure

Manual testing and laboratory-based quality control can account for up to 25% of total production costs.

Lab testing is slow

Microbial counts and spoilage indicators require sampling, incubation time and trained personnel.

One sample ≠ a batch

A single lab sample does not represent an entire delivery. More measurement points are needed.

Solution (B2C)

A on-button freshness check – built for real kitchens.

Fast workflow, easy result. Built to reduce uncertainty for meat, fish, and seafood.

Solution (B2B)

A complete scan of your product – skipping the laboratory

Fast workflow, easy result. Built to analyse a huge sample size with high efficiency and low costs.

What the consumer gets

A fast, contactless scan that outputs a clear recommendation: Eat now, use soon, or not safe.

Designed to work within seconds and be understandable without technical knowledge.

Instant answerSimple status + shelf-life estimate
Less wasteUse food confidently instead of discarding “just in case”
More safetyCatch “risky” food earlier than smell/date alone

How it works

Signals from our patented sensor combination are instantly matched against a compact reference database.

Stored directly on the device, it delivers lab-accurate freshness recommendations in seconds.

Scanwith our washable contact caps on the surface
ComputePatented sensor combination + Signal processing
DecideModel outputs status + shelf-life estimate

This is intentionally simplified for a public website. Technical details can be shared in partner calls.

What the business gets

A fast, contactless scan generates a microbiological distribution map that identifies concentrations of specific bacterial species.

The visualization enables a assessment of microbial contamination in real time. A precise tool for quality management, research, and food safety inspection.

Instant informationdistribution map that shows type and concentration of common bacteria
Higher marginusing our device makes quality control much faster and cheaper
More certaintymuch bigger sample size increases safety and quality

How it works

The sample is scanned, and the sensor reactions are analyzed in real time to create a microbiological distribution map.

Sensor signals are processed by a trained machine learning model that identifies bacterial species and concentrations within seconds.

ScanContactless measurement near the surface
ComputeOur own machine learning model calculates bacteria concentrations
DecideModel outputs map + shelf-life estimate

This is intentionally simplified for a public website. Technical details can be shared in partner calls.

Seconds workflow

Easy and quick operation, designed for a practical kitchen routine.

Clear output

Fresh / Use soon / Not safe + shelf-life estimate.

Model-backed

ML model trained against microbiological reference measurements.

Rapid multi-scan workflow

Scan multiple samples within minutes – no lab prep, no waiting time.

Bacteria mapping

Spatial contamination map across batches instead of single-point lab samples.

Decision-grade output

Actionable hygiene, process and release decisions backed by microbial models.

Team

A hands-on team combining hardware, data, and real-world validation.

Patrick Peter

Patrick Peter

Physicist & Engineer · Scanner development

Focused on the technical development of the scanner – from electrical engineering to device integration and performance optimization.

Hardware & electronics Signal processing, architecture, development
Product & validation Turning lab findings into a reliable user workflow
Torben Rieger

Torben Rieger

Molecular Biomedicine · Lab workflows & data

Specialized in spoilage processes and building the reference database – translating microbiology into training data and repeatable test protocols.

Microbiology workflow Sampling logic, incubation, consistent references
Data & database Structuring labels, quality checks, training readiness

Supported By

Funded by public programs and partners supporting innovation and translation into real-world impact.

CONTACT (B2C)

Join the waitlist or request a demo.

CONTACT (B2B)

Discuss a pilot or partnership.

Direct

FreshX Technology
Cologne, Germany
Email: hello@freshx-technology.com

B2C Inquiry

B2B Inquiry

Audience