FoodInsights works with food companies that share data across two or more organisations. We connect information from different sources, check it and make it usable — and where needed, make its origin verifiable in an audit.
We connect knowledge of food chains with digital applications.
A food company works daily with suppliers, producers, storage operators, hauliers and buyers. Each holds part of the information, yet decisions have to be made on the whole.
Where did a lot come from? Under what conditions was it stored? Does it meet the buyer's terms? What is the stock worth? And how is a footprint substantiated?
FoodInsights works on this dependency between organisations. We connect data to what it means in practice: which lot it belongs to, how current it is, and which decision it has to support.
The same pallet. Two identifiers, two dates measuring two different events, and a 7.4 kg difference nobody has explained — and not one field is wrong inside its own system.
Four decisions for which food companies depend on information that does not come out of their own system.
Quality control needs product and condition data to line up. We connect origin, lot and process data with readings such as temperature, moisture and CO₂ — supporting track & trace, cold chain monitoring and deviation investigation.
An example question When something is off, can we find which lot it concerns and under what conditions it was handled?
Buyers set conditions on what they purchase and on the information that comes with it: origin, specifications, quality, storage. We help companies bring that data together and make it available for the sales process.
An example question For this delivery, can we substantiate that the agreed purchase conditions were met?
Assessing collateral calls for information on quantity, location, quality, shelf life and value. We connect that data and make it available in traceable form, giving all parties a better basis for the conversation.
An example question Which stock is where, what condition is it in, and what information is the valuation based on?
A footprint report rests on data from several organisations: raw materials, feed, energy, transport, production. We connect it to the calculations and methods used, so what an outcome rests on is visible.
An example question Can we retrieve which source data, calculation method and assumptions sit behind this reported footprint or emission?
Sharing data is only worth something if the recipient understands what it means and what it rests on. Five questions are central to our approach.
Sometimes a buyer, financier or independent assessor has to establish how information came about. We record not just the outcome but the source data, documents, processing steps, calculations and changes, so it can be reconstructed.
How far this goes depends on the application and the agreements involved. Auditability is built in when the case calls for it — not an audit performed, a certification, or approval by an auditor.
Our work starts with a concrete business process: where data comes from, where it is missing, and who has to work with it. From there we build the data connections, overviews or applications that fit.
In projects we work with companies, research bodies and educational institutions on questions that touch more than one party. We develop and test new applications, and bring practical knowledge and digital possibilities together.
Customer questions show where the need is. Projects give room to develop new possibilities. The knowledge built along the way lets the next application fit better.
Which decision or action needs better support, and which organisations are involved in it?
Which sources are available, and what has to be agreed about content, quality, access and any audit requirements?
We connect the data and make it usable through dashboards, monitoring or targeted analysis.
With the people using it we judge whether the information helps. Where auditability was agreed, we test whether the substantiation can be followed back.
A project where chain data, applied research and education come together. The DataLab for the poultry chain and the marketplace for CO₂ and NH₃ credits are in use; an EduLab is in development.
See Digital Vital Poultry Chain →
A project on automated tree measurement, stock data and a digital tree passport. It shows how data from different systems can be connected for applications in agriculture.
See De Stamhouder →Do you work with information from suppliers, buyers or other organisations, and does its reliability matter? We are glad to talk through where FoodInsights can help.