The problem
The problem

Imagine that you are a farmer.

And every year you see your crop decreasing in productivity (-quality, -yield), profitability (+costs, -revenues), while the business complexity scales up. And not because of your lack of effort, or passion.


Now you can stop imagining.

Because, unfortunately, this is exactly what’s already happening because of the climate change.

Agritech: offers VS solutions
Agritech: offers VS solutions

Agritech solutions are now proving to be extremely efficient/effective, allowing proactive and at the same time virtuous actions in terms of sustainability.

But their adoption by farmers encounters three relevant barriers:

1) their cost

2) they require technical know-how

3) designed for the largest possible market coverage: they just can’t fit “your own” unique case

Our approach
Our approach

What is truly challenging, is to find answers that enable a better understanding of reality. Of your own land.

That’s the key, not the technicalities. An augmented intelligence leading to a proactive awareness.

Once you nail that, you get responsiveness and optimized resource management.

A solution under your own control
A solution under your own control

A UX-driven Agritech modular solution designed to reduce some concerns of small-medium farmers: productivity, profitability, complexity. Especially if linked to climate change. The current focus is on viticulture, but scalability-ready to other cultivars.


Our mix integrates satellite data, proprietary drones and ground sensors with A.I.

Become a tester
Become a tester

[ currently in overbooking ]

Business case
We have chosen to focus on viticulture and wine production, a cultivar and an activity exceptionally important for our Country and the EU. Considering both the problems that characterize this type of agricultural production and...
Our intangibleware: Focused on the UX and driven by sustainability and scalability over time and space, our proprietary mix integrates hardware, software and processes in an innovative proprietary production solution and business model architecture that...
We are a tech company whose core business is designing UX-driven solutions. Our manifesto. What we want to do. Our objective is to make accessible, even to segments of stakeholders hitherto excluded, high value-added knowledgeware....


fighting climate change issues by empowering farmers with territory knowledgeware

This project is enrolled in the ESA Business Incubation Centre Lazio and funded by the European Space Agency and Lazio Innova

Each farmer offers a “unique” product.

Yeah, that’s right.

Being a farmer means facing a multiverse of situations characterized by a mix of specific elements, each time different. Depending on the territory, the changing climate, the cultivar and several other factors. The combination of which results in specific, and each time different, problems. Which are “unique” as well.

And viticulture is a great example of that.




Chianti, Italy

Rioja, Spain

Côtes du Rhône, France


Organic Tempranillo blanco

Mourvèdre, Syrah
low yield and
decreasing production trend
high costs,
not satisfactory economic returns
agro-technical management
issues at various levels
Fungal diseases?
Altered soil chemistry?
Oversized use of expensive
Under-valorization of the production?
Not equalized yield?
Cost of monitoring?
Scarce integration and traceability?

Agritech solutions are now proving to be extremely efficient/effective, allowing proactive and at the same time virtuous actions in terms of sustainability. Their direct adoption by farmers, especially small and medium-sized ones (in EU, 80% of farmers own plots of less than 10ha), however, presents significant “barriers to entry” (what keeps them from adopting Agritech solutions):

In addition to this, the products currently available are designed to cover as large a share of the market as possible. Therefore, they are inevitably non-specific (consequently, not optimized) for any of those “unique” cases.

In other words, the paradox regarding Agritech solutions is that they can be tremendously effective in theory, but they risk not befitting real-life cases. Researches show that this bottleneck is perceived by farmers, as already users or potential customers.


To remove these barriers/limits, instead of pushing generic products to an unspecified market, we thought that it would perhaps be more effective to start, instead, from the subjective situations of individual farmers. From their needs, cultivars and land features, that only those who are directly involved can really know (and they are supposed to do it better than any salesman). Therefore, we have chosen to shift the focus on the UX of the farmers: our direct customers (B2B).

This is why we are shifting the focus to actual farmers.

We believe that, with appropriate support, they would be able to co-configure (a form of Open Innovation) the most fitting way that would guide them to achieve their goals while factoring in their case-specific emergent problems (that’s our USP). Offering them solutions that are coherent (because they are case-driven) and customized (because they are co-designed). While integrating distribution steps that other market players carry out separately, lowering the costs and usability of technology for the final user.


The advantages of our solution cover several perspectives. Virtually all farmers’ desiderata fall into three macro-categories: increase productivity, increase profitability, decrease complexity.

We can help pursue them by creating value through a set of augmented and proactive information, directly applicable to territory activities to make better decisions (a knowledge-based intangible asset) gaining an “augmented strategic capital”.


To achieve that, we design modular detection and analysis systems, engineered to be economically accessible also to a group of users so far excluded/self-excluded. This is carried out by a matrix of elements, whose mix can vary: different sources/tools get processed and integrated depending on the case-specific situation. As for the sources: we build proprietary self-piloting drones for agricultural monitoring (which are extremely low-cost thanks to our peculiar production system); we offer precision agriculture systems via interconnected on-the-field sensors; we retrieve and analyze satellite imagery and geo-data. As for the tools: multiple layers of artificial intelligence (A.I.) and Decision Support methodologies, which optimize the intelligence gathered, return retrospective, real-time alert and predictive analysis.

All this with no need for special expertise requested from the user: the drones are self-piloting, the ground sensors are self-configuring, the software layer is designed to be unobtrusive: it is meant to be a support tool, not an additional “novelty” that users must eventually cope with. All they need is to provide the input regarding their individual situation, via a guided process already broken-down by us.

At the center of everything we put the User eXperience (UX), not an item preconfigured from above by a marketing & sales department.


Alongside this process users are also supported in minimizing the environmental footprint through the implementation of less polluted and more sustainable actions. Our mission is to take care of the analytics complexity. So that farmers (especially small-medium sized businesses) can focus on what they do best: creating their “unique” product, but at their best.


At this stage of development, we have intentionally limited our focus to the AgriFoodTech sector. We actually have a broader vision (and ambition), since, thanks to the scalability and peculiarity of our model, we will be able to easily pursue economies of scope that extend to other, highly promising sectors.

We have chosen to focus on an exceptionally important cultivar and activity for the EU: viticulture. Considering the problems that characterize this type of production, and the new challenges it is now called to face. In particular the aftermaths (direct and indirect) of climate change. The peculiarity of its harvest (grape varieties are differently affected by such phenomena) and its value-added derivate-product (wine) makes it a perfect example of produce “uniqueness” and of the potential benefit of a case-driven approach. But our system is also prone to replicability to other cultivars, and it is scalability-ready because of our proprietary “agile manufacturing” model.


Ground Sensor concept
We want them to be not only funtional, but also cool. :)
Read More "Ground Sensor concept"
Segmentation tryouts
We are working on the segmentation software layer. Results seem to be actually preety good.
Read More "Segmentation tryouts"
How to homecook a delta-wing drone
After some mistakes (and, again, many lessons learned), this was our first real-life prototype! :)
Read More "How to homecook a delta-wing drone"
The quest for the Holy Grail: the product-market fit
We've built our 7-steps testing plan (thank you Viesturs for your guidance!) and started out interviewing process with the farmers...
Read More "The quest for the Holy Grail: the product-market fit"