🌿 Self-learning greenhouse
Combine temperature, RH, light, irrigation, drain and crop data to find relationships and, for example, predict climate trends.
AI without the blah blahNo hype.
No hype.
Just practical AI.
AI is a broad concept. We make it tangible by linking it to real sensors, reliable data and a concrete question from your daily practice. That turns AI from a complicated story into a practical tool you can actually use.
From signal to insight
AI does not start with a chatbot. AI starts with good data.
Sensors collect signals from the greenhouse, machine or production line. RealTimeBox connects this data in one open layer. You can then recognise patterns, build predictions, compare scenarios and — with the right integrations and safety limits — steer processes.
Measure
Connect existing or new sensors.
Connect
Bring real-time and historical data together.
Learn
Study relationships and predict behaviour.
Improve
Validate insights and apply them in practice.
Practical in real life
What can AI help you with tomorrow?
⚡ Smart energy use
Compare energy prices, DLI, crop needs and installations to assess practical lighting and consumption scenarios.
🪴 Productie & arbeid
Use RTB Flow data and sensor measurements for insight into lead times, bottlenecks and planning.
🏭 Self-learning machines
Understand the normal behaviour of existing equipment. Detect deviations earlier and investigate causes of quality loss.
🔮 Forecasts
From expected production to failure risks: make both historical and live data usable for decisions.
🧩 Digital twin
Create a digital model of an existing practical case, simulate what-if scenarios and compare predictions with measurements.
Digital twin · from practice to simulation
First understand. Then decide more intelligently.
A digital twin is not a magical copy of your greenhouse. We start with a clearly defined process, measure what actually happens and build a model that can be tested against reality.
This lets you explore what would change with a different lighting schedule, energy price, climate setting or production plan — before you change anything.
We start with measurable goals, reliable sensor data and a clear pilot. Models are only used for control after verification and within suitable safety limits.
Accessible to everyone
No data scientist needed to get started.
Do you have general questions about AI? Or do you want to make a machine or greenhouse self-learning, so you gain more insight into forecasts, deviations and opportunities for improvement? Tell us what you want to solve. We make AI concrete, understandable and practical in plain language.
Ask us your AI question →Clear use case
Sensors and data
Measurable results
Simulation where useful
Start small
Expand yourself later
Partners
Our partners
Netvion and Seeed Studio are partners of RealTimeBox.
Without the blah blah
A concrete AI question? We are happy to help.
From a first sensor to a digital twin of your process.