Leaders in Food – Podcast

GrwNxt founder & CEO prof. dr. Annemieke Roobeek was invited to participate in the podcast Leaders in Food. This Dutch language podcast, led by Joan Zijerveld, spotlights leaders in food. In this podcast Annemieke Roobeek was asked why a radical change is needed, to showcase the future-proof GrwNxt concept and to dive deeper into the vision she has on the future of food.


Yes, we did the unthinkable!

With AI we are able to succesfully predict healthy functional food components (FFC) in crops.

We used advanced hyperspectral imaging technologies in combination with large-scale empirical testing. The resulting large dataset enables us to jump to an incredible increase and optimization of DDR™.


Personalized Food with GrwNxt DDR™

According to an article by the faculty of pharmaceutical sciences of the University of Utrecht, food components can have a surprisingly similar effect as certain medicines. At GrwNxt, we optimize functional food components in premium, specialty crops using Dynamic Digital Recipes (DDR™). With our DDR™ we can fine-tune patient diets to help improve the recovery process. Depending on patients’ needs, a DDR™ can be applied to increase (plant-based) protein, vitamin c or other desired functional food components. Using deep learning technology for proven nutritious and tasty fresh greens in hyper-local and circular modules, GrwNxt can provide healthy food as medicine.


AI for Vitamin C prediction

Recently, GrwNxt has succesfully conducted a set of AI experiments at the research facility of NPEC Wageningen, in close collaboration with Spectrapartners, to predict functional food components (FFC) such as Vitamin C, using hyperspectral imaging (HSI) and AI. The entire experiment has been designed and conducted by GrwNxt. Key in this experiment is the interpretation of mass data and wavelengths done by the data science team (DST) of GrwNxt.


Pioneers in cutting-edge research

GrwNxt is working on the Real New Thing in the development of fresh superfoods. With the use of hyperspectral imaging technologies (HSI) in combination with our own AI-models, we are able to non-destructively design functional food components including vitamins, minerals and proteins. Our cutting-edge research is the first of its kind and size.


Making the Sustainable choice

Is the boardroom ready for responsible decision making? Making the sustainable choice often isn’t easy. The perceived and dreaded impact on profits too often unjustly halts sustainable choices even being considered.

The new book Responsible Business Decision Making offers a framework supported by Data and Dialogue to simulate the effects of decisions. It does so incorporating not just effects on Profits, but on People and our Planet as well. The ability to run different scenario’s allows responsible decision makers to include this broader perspective, without losing sight of profitability.

Read the full article and order the book via KoganPage.


Measuring Functional Food Components (FFC) Using Hyperspectral Imaging (HSI)

For GrwNxt, hyperspectral imaging (HSI) is a key technology to gain insights in the development of functional food components (FFC) in specialty greens. Translating the hyperspectral bandwidths to FFC allow us to detect sweet spots for vitamins, minerals and proteins to come to expression during the growth process. After growing and monitoring, the samples will be harvested and tested by third-party laboratories for the FFC.

GrwNxt has recently started a large-scale testing using Hyperspectral Imaging (HSI) at the Netherlands Plant Eco-phenotyping Centre (NPEC) at Wageningen, for which GrwNxt has received a research voucher by RVO. The current testing is one of many that are planned this year.


AI for the Future of Fresh Food

GrwNxt is a deep technology start-up using AI and machine learning to develop unique digital recipes for growing highly nutritious fresh food. With AI we can create ideal circumstances for plants in remotely controlled GrwNxt growth modules.

AI is a game-changer for breakthroughs in the growing process. It enables ultra-precise digital recipes to unleash healthy food components such as vitamins, minerals and proteins. The application of deep learning technology shortens the development time needed for growth recipes without GMO or any infringement of seeds. AI is a valuable enabling technique to stimulate nature in growing healthy, nutritious fresh food.

GrwNxt is an award winning company. As one of the first, we were the 2020 winner of the XPrize Future of Food Breakthrough Track at the AI for Good Global Summit, sponsored by the United Nations. In the past years we won important research grants for the development of AI-led Dynamic Digital Recipes (DDR™), for Neuro-Robotics and Image Recognition for Ultra-Precision Growing of Food Components.

GrwNxt works on a sustainable way forward with AI to bring the Future of Fresh Food nearby.

Join us in the journey!


GrwNxt Research Report

The ‘D’ of Dynamics in DDR™ unraveled for Growing as a Service

GrwNxt is proud to present out newest research report, highlighting the unique Dynamics at the core of our innovative work: creating Dynamic Digital Recipes (DDR™) with deep learning technologies and the latest insights in plant physiology.

This revolutionary approach is applied to optimize the healthy functional food components in crops that grow inside the GrwNxt Module. Healthy food starts with healthy content: vitamins, proteins, vitamins and taste. Thanks to our deep learning technologies we can incorporate dynamics in the growing process to optimize nutritional values. Unlike greenhouses and vertical farms we can restrict resource usage and do not need transport or storage, contributing to CO2-saving.


GrwNxt is different: it’s the Real New Thing

Vertical farming companies have absorbed huge investments in the past few years. However, due to an increase of costs for energy and distribution, these large scale vertical farms are facing serious difficulties in today’s market. A change of strategy, winding down activities including costly layoffs are the result of their own over-optimistic promise.

Although painful for many stakeholders involved, at GrwNxt we are not surprised about the downturn of these vertical farms, or ’stapled greenhouses with warehouse technology’.

Our approach is different, much more sustainable and does not require hundreds of millions of venture capital.

GrwNxt focus is deep technology for superior, tasty plant varieties with high levels of proteins, vitamins and minerals at hyper-local compact GrwNxt modules with low energy use. We merge plant science with AI, Machine Learning and monitoring techniques for tailored DDR™ (dynamic digital recipes) for high quality greens. 

GrwNxt is welcoming sustainable investors. We are currently raising Euro 3 million for the implementation of already committed launching customers with incredible brands.


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