
Optimisation of cultivation processes through data analysis
From grower intuition to data-driven cultivation decisions.
Sectors · Agriculture & Food
Your partner who knows the field, from capturing domain knowledge to using AI for more predictable and sustainable production
A trusted, well-known and innovative partner
We learn your operation before we touch your data. The real work happens in the field, in the barn and on the factory floor, so that is where we start: listening to the people who know your processes best. Our industry experts then make the translation from how things run today to how they could run tomorrow, before any technology is chosen.
The result is a solution your people actually use. Knowledge that now lives in a few heads is captured in data and models, so decisions no longer depend on who is on shift. You spend less time collecting and analysing data, and more on the work itself, with production that becomes more predictable and more sustainable, season after season.

Stage 01
We show what data and AI can already do in agrifood, from predicting harvests and simulating production flows to computer vision in the field. In an inspiration session with your team we connect those possibilities to your own challenges, so ambition and ideas come from the people who will use them.
Stage 02
In a Quick Scan we map how your operation runs today and which data your climate computers, machines and ERP already hold. We identify where decisions still rely on experience alone and where data could support them. The result is a prioritised roadmap with a business case per use case, so you know where to start and what it will deliver.
Stage 03
We start with the use case at the top of your roadmap. First we bring your data together in one reliable foundation, giving you real-time insight and letting AI search your most important data directly. Then we develop the model, from harvest forecasts to computer vision, and validate it on your own seasons before it goes live.
Stage 04
A solution only works if the people who act on it trust it. We involve your growers, operators and planners from the start and train them in their own context. Because everything runs on one data foundation, the solution grows with your business, from one crop or site to the next, with support from us whenever you want it.
Pick a subsector to see the work behind it.

From grower intuition to data-driven cultivation decisions.

A digital twin of the egg collection process, so configurations can be compared before anything changes in the barn.

From manual Excel work to automated, reliable insight.

Drones that use computer vision to keep birds away from the crop.
Our offering
Our offering follows the same four stages as our approach, so you always know where you stand. You can start with an inspiration session, a Quick Scan or a concrete build, depending on what your business needs today. Every service builds on the previous one, so each step adds value on its own and brings the next one within reach.
Industry lead
“The best ideas don’t start with technology. They start with the grower, the operator or the planner who knows exactly where the process can be better.”Job OosterkampOperations Manager & Industry Lead Agrifood
Job combines operational experience with a strategic view on change. In his agrifood projects he helps organisations move towards data-driven growing and working, making sure growers and management are on board at every step.
What we build
Concrete examples of what we build in this sector.
Models that combine climate data, crop data and grower expertise to predict harvests and yields, so you can plan labour, sales and logistics ahead.
Try it out before you build it. A digital twin simulates your process, so you can compare configurations and find the best set-up without risk to production.
No more copying data between systems. One scalable foundation brings everything together, ready for dashboards today and AI tomorrow.
From order intake to quality reports: AI takes over the repetitive steps in your process, so your teams spend their time on decisions, not data entry.
Ask questions in plain language and get an answer from your own data. How did this batch perform? Which site is behind on plan? Answers in seconds, not days.
See how every greenhouse, barn or production line is performing right now, in one overview, so you can compare sites and act before small issues grow.
Proven in practice
“Our cultivation knowledge lives in people’s heads, and you have to secure it. Green fingers are becoming scarcer, and new varieties and techniques make growing more complex. You can no longer afford to work on gut feeling alone. That knowledge has to be captured, so we can keep growing as an organisation.”
Van den Elzen Plants relied on the experience of its growers, with data scattered across climate computers and other systems. Starting with a Quick Scan, we built one data foundation, real-time insight across locations and AI that advises on the next intervention.

Why Datacation
We're not a generalist consultancy with an AI badge bolted on. We are a dedicated data & AI partner: econometricians, mathematicians and engineers who build things that survive contact with production.
Backgrounds in AI, data science, econometrics and mathematics. Many of our people hold PhDs and stay connected to leading research groups and universities.
Your domain knowledge plus our technical expertise. We build alongside your team, transfer the knowledge and leave you in control of what we make together.
No endless plans, but concrete steps. We start small, prove value fast and scale what works, from a first Quick Scan to a platform your whole organisation runs on.
Technology only works when people actually use it. We speak the language of the boardroom and the shop floor, and we design for adoption from day one.
Safe, explainable and manageable AI, with the governance, policies and change management to match. We help you raise adoption without lowering the bar.
Tell us what you are working on. We will get back to you and explore together what data and AI can do for you.
