Inclusive data marketplace for sustainable food production, equitable distribution of gains and digital sovereignty of citizens and farmers
COMPANY NAME: Prospeh d.o.o.
APPLICANT NAME: Žiga Drev
TEAM COMPOSITION: People from one or two legal entities
PROJECT SECTOR: [“Energy & sustainability”,“Open Innovation”]
CORE TECHNOLOGIES: [“Blockchain technologies”,“Distributed ledger technologies”,“Peer to peer technologies”,“Internet of things”,“New connective infrastructure (as 5G)”]
Food Data Market (FDM) is a platform fostering new economic models for sustainable food supply chains based on data. It leverages key benefits of DLT (trust, neutrality, inclusiveness) while keeping the key advantages of participants intact by employing privacy-by-design approach. FDM enables a new wave of data marketplace platforms connecting data suppliers and consumers. In our MVP, we will focus on food supply chains and show how farmers easily become data suppliers by making any data created in their farming process available under the conditions they deem fair. Utilising relevant technologies, all data-sets will have integrity through immutability and will be structured for interoperability. Amongst data consumers, we find businesses and end-consumers alike. They can search for relevant farm data-sets and obtain them directly in a peer-to-peer fashion, using the specific data exchange smart contracts and protecting their anonymity. The same infrastructure can be used to include them also as data suppliers. The core infrastructure of the FDM is open source with a visual user interface developed on top to ease the use of the FDM for all the stakeholders.
The decentralised backbone of FDM will be open-source and free to use by anyone. Our business model starts only on the data marketplace platform for farm data (online application built on top of the decentralised backbone). Access to FDM itself (registration, data search etc.) is free of charge for everyone. Those who want to buy data on FDM, need to first purchase credits with which they later pay for the data. FDM takes a share of every transaction executed by putting a margin on top of the price determined by the data sellers (farmers). FDM helps with handling the complexities of making data available on the platform (data modelling, provisioning of nodes, holding cryptocurrencies for public networks etc.) and the fee for this is included in the margin. Business model will be constantly iterated based on market feedback.
The team has been working together since 2014 and accumulated more than 20 years in management and technical experience respectively. Žiga has been managing projects improving data exchanges in supply chains for nearly a decade and has been leading implementations of blockchain related solutions in China and Europe. Vladimir (also Msc in Psychology), being one of the earliest adopters of internet in Serbia in the early nineties, has deep understanding of the technology and proficient use of several program languages. Prior to joining the team in 2017, he was the Head of Department for Web Programming at SAE Institute Belgrade. Aleksandar (joined the team in 2014) is a PhD candidate at the Faculty of Mathematics in Belgrade and is the author or co-author of several research papers. He is in charge of developing advanced cryptography, predictive algorithms and game theory models used in decentralised solutions. Ana has been in charge of managing diverse projects since joining the team from managing online communities, developing marketing content, managing EU-funded projects, to organising educational and other events for different audiences.
LEDGER grant will be used in a 9 months MVP sprint to develop and test the FDM. 60% of the efforts and resources will be placed directly in developing and auditing the smart contracts and other parts of the open-source infrastructure. The rest of the resources will be aimed at finding the first users of the platform to validate our approach and usability of the technology. Researcher in Residence and other auxiliary services of LEDGER partners will be used to accelerate achieving results.
Market is saturated with data sharing approaches where one large actor tries to obtain as much data as possible. Interoperability amongst such systems is low and vendor lock-ins are the desired outcome. Smaller stakeholders are unable to reap the value of data sharing, which creates frustration and sparks debates on data governance. In contrast, FDM is utilising the key strengths of DLTs to create a neutral, interoperable and trusted infrastructure that can serve as an enabler for fair data sharing in the food supply chains. In our implementation, we will focus on farm data, a sector in which we have years of experience. The key growth engine lies in the fact that modern farms already have relevant data siloed in their IT systems. Top-down approach to access it will be in connecting with farm management system providers, while bottom-up approach includes targeting agricultural cooperatives for first customers. Initial contacts with both have already been established in the SEE region.