All three projects (BigDataEurope, Foodakai-1, CAPSELLA) involve integrating and processing large datasets for agri-food applications.
AGRO-KNOW
Belgian SME building big data platforms and AI-driven food safety intelligence tools for the European agri-food sector.
Their core work
Agro-Know is a Belgian SME specializing in data technologies for the agri-food sector. They build platforms and tools that aggregate, integrate, and analyze large-scale agricultural and food safety data, making it accessible and actionable. Their work bridges big data infrastructure with real-world applications in food threat detection and environmentally-sound land management. Their own product line (Foodakai) focuses on AI-driven food safety intelligence for consumers and industry.
What they specialise in
Foodakai-1 was their own coordinated SME Instrument project, assessing feasibility of an intelligent food threat warning app.
CAPSELLA focused on collective awareness platforms for environmentally-sound land management, their largest funded project at EUR 422,500.
BigDataEurope addressed cross-domain big data integration infrastructure for European societal challenges.
How they've shifted over time
Agro-Know's H2020 activity was concentrated in a short 2015-2018 window, making it difficult to identify a strong evolution. Their early work focused on general big data integration infrastructure (BigDataEurope), while their later project (CAPSELLA) applied these capabilities specifically to agricultural land management. The Foodakai-1 SME Instrument project signals an attempt to commercialize their data expertise into a standalone food safety product.
Agro-Know appears to be moving from general big data infrastructure work toward proprietary food safety intelligence products, suggesting future collaborations would likely center on applied agri-food data analytics.
How they like to work
Agro-Know operates mostly as a project partner (2 of 3 projects) but demonstrated leadership ambition by coordinating their own SME Instrument feasibility study. With 23 unique partners across 11 countries from just 3 projects, they integrate into large, diverse consortia rather than working in tight, repeated clusters. This suggests they are adaptable and comfortable joining new teams, though the small sample size limits certainty.
Despite only three projects, Agro-Know has built a broad network of 23 partners across 11 countries, indicating they participate in large European consortia with wide geographic diversity rather than concentrating on a few repeat collaborators.
What sets them apart
Agro-Know occupies a niche at the intersection of big data technology and agri-food domain expertise — a combination that is relatively rare among SMEs. Their Foodakai product line demonstrates they are not just a services company but are building their own IP in food safety intelligence. For consortium builders, they offer the technical depth of a data engineering firm combined with genuine understanding of agricultural and food sector needs.
Highlights from their portfolio
- Foodakai-1Their own coordinated SME Instrument Phase 1 project, signaling a commercialization effort around AI-driven food safety consumer intelligence.
- CAPSELLATheir largest funded project (EUR 422,500), applying data technologies to collective environmental land management awareness.