Pilot operator platform
Know before decay starts.
SciFruVeg turns CO₂ and ethylene-related gas signals from cold storage into lot-level shelf-life forecasts — so your team acts on data, not guesswork.
Lot A-14 · Gala Apples
1.2 days remaining · 94% confidence
Lot B-07 · Hass Avocados
3.8 days remaining · 88% confidence
Lot C-22 · Blueberries
6.1 days remaining · 91% confidence
Lot D-03 · Cavendish Bananas
5.4 days remaining · 87% confidence
The reactive-industry problem
The industry reacts to decay. We forecast it.
Post-harvest loss is not a logistics failure — it is an information failure. By the time visual decay is detectable, the window to act has already closed. SciFruVeg moves the decision point upstream.
~14%
Post-harvest loss in fresh produce supply chains
FAO, 2019
48–72 h
Typical lag between onset of decay and visual detection
Post-harvest biology literature
3–5×
Margin recovery potential when intervention is timely
Pilot modelling estimates
How it works
Sense → Forecast → Decide
Three steps from sensor to business decision. No raw readings, no interpretation required.
01
Sense
Non-invasive gas sensors placed in cold-storage environments continuously monitor CO₂ concentration and ethylene-related volatile organic compounds (VOCs) at lot level. No product contact, no disruption to existing operations.
02
Forecast
A machine-learning model trained on food-science literature and validated sensor data translates gas-signal patterns into shelf-life forecasts. The model outputs days-remaining estimates with a confidence score — not a raw gas reading.
03
Decide
Operators receive a prioritised action dashboard: Move now, Adjust atmosphere, or Monitor. Every recommendation maps to a concrete operational decision — dispatch sequencing, atmosphere adjustment, or buyer notification.
Platform capabilities
Built for operators, grounded in science.
Gas sensing
Continuous CO₂ and VOC monitoring at lot level. Non-invasive sensors integrate with existing cold-store infrastructure with minimal installation overhead.
Food-science ML
Models trained on post-harvest biology literature and validated against real produce data. Separate model architectures for climacteric and non-climacteric produce.
Operator dashboard
Lot-level shelf-life forecasts with confidence scores and prioritised action flags. Designed for warehouse and dispatch teams — no data-science background required.
ROI measurement
Built-in waste-reduction and margin-recovery tracking. Pilot outcomes are measured against agreed baselines so commercial value is quantified, not assumed.
Supply-chain positioning
Forecast data can be shared upstream with buyers and procurement teams, enabling smarter ordering, reduced over-buying, and stronger supplier relationships.
Pilot-to-scale pathway
The Konero YellowBox pathway provides a structured route from validated pilot to commercial deployment — with data ownership terms agreed individually at each stage.
Pilot markets
Three beachhead markets. One evidence base.
SciFruVeg's pilot programme is focused on three markets where post-harvest loss is measurable, cold-chain infrastructure is established, and regulatory appetite for food-waste reduction is strong.
Europe
Apples & berries
Controlled-atmosphere storage is widespread. High regulatory pressure on food waste. Strong institutional research infrastructure for validation partnerships.
United States
Avocados & bananas
Large-scale import and ripening operations. Significant margin pressure from shrink. Established cold-chain operators open to technology pilots.
United Kingdom
Berries & avocados
Retailer-driven waste-reduction mandates. Short supply chains with high visibility. Strong appetite for shelf-life data from both operators and buyers.
Who it is for
Built for the people who move produce.
Storage operators
Cold-store and controlled-atmosphere operators managing multiple lots across produce types. SciFruVeg gives your team a prioritised action list — not another data feed to interpret.
Wholesalers & packers
Operations where dispatch sequencing and shelf-life accuracy directly affect margin. Forecast data reduces shrink, improves buyer confidence, and supports premium positioning.
Procurement teams
Buyers and category managers who need shelf-life data upstream of delivery. SciFruVeg enables smarter ordering, reduced over-buying, and fewer late-life write-offs.
Strategic partners & investors
Organisations seeking a validated, scalable food-tech platform with a clear commercial pathway. The Konero YellowBox route provides a structured pilot-to-deployment model.
Apply for a pilot
A conversation, not a commitment.
We are looking for three types of pilot partner. Each engagement is scoped individually — data ownership terms are agreed before any data is collected.
Approve & expand
Storage operators and wholesalers ready to validate ROI against a baseline and expand to additional lots or sites if the pilot succeeds.
Validate ROI
Operations teams willing to measure waste reduction and margin recovery against agreed thresholds during a structured pilot period.
Co-design integration
Technology and operations leads open to shaping how shelf-life forecast data connects to existing WMS, ERP, or buyer-notification workflows.
We respond within five working days. The first conversation is exploratory — no commitment required.
Common questions
Frequently asked questions
Still have questions?
Reach out directly — we respond within five working days.