Agrinorm raises seven-digit sum to combat volatility in fresh-produce supply chains

Not only are fruit and vegetables highly perishable, but their availability is also dependent on unpredictable weather conditions. Orders are often placed at the last minute, and buyer requirements can fluctuate based on market trends. Against the backdrop of climate change, inflation, and escalating energy prices, ensuring a steady supply of fresh produce has become more challenging than ever.

Founded in 2019 by Daria Reisch and Sharon Wulff, Agrinorm is reducing the complexity of produce trading with a dedicated AI solution that helps fresh-produce traders manage uncertainties associated with product quality. The software allows traders to manage their supply chains more efficiently, meet customer expectations, reduce costs, improve returns for growers, and minimize the environmental impact of the fruits and vegetables we consume.

The agtech startup secured a seven-digit amount in a funding round led by QBIT Capital and supported by renowned SICTIC investors, including, Cornelia Gut, Thomas Dübendorfer (President of SICTIC), Nicolas Cepeda (founder of Contovista), David Studer (founder of Xovis), and Ronald Strässler (founder of avaloq).

Since its launch in October 2021, Agrinorm has had a growing customer base in Europe and Latin America, with further expansion planned. The startup's software helps address the problem of food waste: Even though 3 billion people do not have the means to maintain a healthy diet, 45% of all fruit and vegetables are thrown away at a global economic cost of USD 450 billion annually.

"We are incredibly grateful to QBIT Capital and the esteemed SICTIC investors for leading and supporting this funding round," said the founders in a statement on LinkedIn. "This achievement is a testament to our shared values and vision, and we cannot wait to see where this funding will take us next!"

Agrinorm's solution convinced the Venture Kick jury in 2020, which awarded the startup CHF 10,000.


Agrinorm's software makes it easy to see trends and use AI for root-cause analysis of claims and quality issues