Trace Technologies

Trace Technologies

The data can help to understand the world around us

Recently at SMAU San Francisco 2024

Start-up of Abruzzo Region

Abruzzo Region

Start-up

www.tracetech.it

Description

Trace Technologies was born on 18 May 2021 from the meeting between Marco Ferrante and Carlo Capretta and the intersection of their entrepreneurial experiences. Marco with years of experience in the data analysis and research world; PhD in physical and chemical sciences at the University of L'Aquila with specialisation in innovative analytical techniques applied to the world of food traceability and agritech. Carlo with a humanistic background turned instead to customer-oriented communication and sales.



The initial mission is to create a scientific traceability ecosystem that collects data through cutting-edge technologies and processes them to generate useful information in order to innovate the primary sector by proposing a sustainable agriculture-oriented approach. Immediately declined in the wine sector, the startup's mission gave rise to the Vigneto Sicuro project with which the company aims to support the winegrower in the prevention of vine diseases, enabling him to save on the cost of phytosanitary treatments and minimise environmental impact.

Our products

Vigneto Sicuro helps winegrowers predict the occurrence of vineyard diseases through data.

Vigneto Sicuro helps winegrowers predict the occurrence of vineyard diseases through data.

Vigneto Sicuro! The first system able to predict vineyard weather and diseases without installing sensors in the field! An easy-to-use Web App that acquires weather data from various sources in real time from the vineyard and through an algorithm calculates a risk index of vineyard diseases, making it possible to predict their occurrence 10 days before they appear. Applying this system for the winegrower means: • A reduction in management costs of more than 30%; • Having a system that scientifically supports him in difficult decisions using the power of prediction through data; • A reduction in environmental impact because treatments will only be carried out as much as necessary, thus not releasing heavy metals into the environment and reducing CO2 emissions.

Our video