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THE PROSPERA STORY

Data puzzles and muddy boots

Our quest started with a puzzle. How is it that neighboring fields, with identical climates, cultivated by the same farmer, with the same seeds, fertilizers and irrigation, produce widely varied yields, sometimes tens of percents apart?
We specialize in analytics, so we assumed that an answer is hidden in the data. Searching for it, we’ve founded Prospera with a mission of turning agricultural produce into a predictable and optimized asset. 

As the green revolution loses steam, digitalization will replace it as the engine of farm productivity growth. Data-rich, digitized production systems will become crucial to meet the demand dynamics driven by population growth and rising standards of food quality and environmental sustainability.  

We help the world’s leading growers transform into digital, agile, and efficient businesses. Our solutions are pragmatic and down to earth, as our muddy boots testify. We bring the data expertise, our customers have the growing experience. From this interaction comes transformation.
 
Prospera is a fast growing company, with customers in 3 continents, and blue chip financial backing. Our system now covers the entire production cycle, but that original variable yield puzzle remains our guiding challenge.

The digital production optimizer

Our digital farming system collects, digitizes & analyzes vast amounts of data to help growers control & optimize their production and growing systems

$5Bn

of produce monitored annually

50M

Data points processed daily

4,700

fields monitored

A machine learning powerhouse

Optimizing agriculture with data is extraordinarily complex. The number of relevant parameters is massive, their interactions varied and hard to predict. To meet these challenges we have assembled one of the strongest machine learning crews in the industry. We develop in-house some of the world’s most advanced artificial intelligence technologies. We analyze field images with Convolutional Neural Networks to identify pests and diseases, monitor agro-technical activities and collect yield data. We use Deep Learning techniques to solve multi-dimensional planning and assignment NP-optimization problems across massive data sets. And we extract insights from multiple data sources that are harmonized in an advanced Big Data framework.

Awards

Our investors

Our people

Prospera’s team is truly multi-disciplinary. Data scientists and agronomists collaborate to solve problems; software and hardware developers build integrated systems; agri-business specialists and UX experts define products that deliver instant, tangible benefits to customers. Prospera is led by CEO Daniel Koppel , who founded the company with Raviv Itzhaky  and Simeon Shpiz 

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