#

GRAPERTE: Izertis leads the digitalisation of wine with disruptive technologies

GRAPERTE: Izertis leads the digitalisation of wine with disruptive technologies

The Spanish wine sector, a world benchmark for tradition and quality, faces a decisive challenge: to move towards digitalisation that guarantees transparency, sustainability and competitiveness. In this context, Izertis participates in the primary project PP08 together with Bodega González Byass, Bodega Matarromera, Bodegas Bilbaínas, Bodegas Martín Codax, Bodegas Montecillo, Bodegas Riojanas, Bodegas Terras Gauda, Bodegas y Viñedos Val Travieso, Codorniú, Comenge Bodegas y Viñedos, Grandes Vinos y Viñedos, Miguel Torres, Sinalcohol and Viña Costeira with a clear objective: to create a digital ecosystem that revolutionises wine traceability.

Until now, traceability was managed in isolation in each winery, with different levels of digitisation. GRAPERTE bridges this gap by means of an open and scalable platform that connects these leading Spanish wineries and allows to follow the "wine journey" from the vineyard to the final consumer. 

To achieve this, Izertis has combined its expertise in cutting-edge technologies, from Blockchain to Quantum Computing and Artificial Intelligence, to design a solution that integrates security, interoperability and ease of use.

The role of Izertis in GRAPERTE

Izertis has taken on the technological management of the project, contributing its experience in Blockchain, Artificial Intelligence and digital identity systems. Its role has been key in:

  • Design and development of the traceability platform, which connects 16 Spanish wineries and makes it possible to follow the "wine's journey" from the vineyard to the consumer.
  • Integration of European standards and data ontologies, ensuring interoperability and regulatory compliance.
  • Implementation of verifiable credentials and SSI, supported by the Identfy solution, to certify authenticity to regulatory bodies.
  • Development of blockchain resilient to quantum computing, anticipating future threats and ensuring long-term security.
  • Application of AI and machine vision, which allows labels to be identified and certified information to be provided by simply scanning the bottle.

In addition, Izertis has carried out an exhaustive analysis of the main blockchain solutions on the market, applying best practices in security, governance and resource efficiency, critical aspects for handling large volumes of data.

Costumer benefits

For consumers, this technology provides total transparency, allowing them to know the origin, production process and certifications of the wine in a simple and reliable way. The information is backed by blockchain, which reinforces confidence in the authenticity of the product.

In addition, the app is intuitive and accessible, without the need for technical knowledge, democratising access to verified data.

Impact on wineries

For wineries, GRAPERTE is a qualitative leap forward. Integral digitalisation facilitates the integration of internal systems, optimises processes and reduces manual tasks, especially in grape harvest management thanks to specific applications.

It also simplifies regulatory compliance and protects against counterfeiting through robust systems that guarantee product authenticity. All this contributes to improving efficiency and competitiveness in a sector that combines tradition and the avant-garde.

A replicable model

The project results in a digital ecosystem that connects farmers, wineries, distributors and consumers, driving the complete digitisation of the process and the secure integration of data. Beyond wine, this experience is applicable to other agri-food sectors, offering a replicable model to improve efficiency and sustainability in food traceability.

GRAPERTE has a budget of more than 10 million euros and, for its implementation, has received more than 5 million euros of financing from NGEU funds within the framework of the first call of the AGRO-FOOD PERTE managed by the Ministry of Industry, Trade and Tourism (file number PAG-010000-2023-20).

You may also be interested in these contents