Led AGINFRA PLUS (accelerating e-infrastructure for food & agriculture), contributed to e-ROSA roadmap, and built data services in CYBELE and EGI-Engage.
AGROKNOW IKE
Greek SME building data platforms and semantic services that turn agricultural and food safety data into usable, interoperable intelligence.
Their core work
Agroknow is a Greek technology SME that builds data platforms and semantic services for the agri-food sector. They specialize in transforming large, heterogeneous agricultural datasets into structured, interoperable information products — from multilingual content enrichment to food safety data marketplaces. Their core competence sits at the intersection of data engineering and domain expertise in agriculture and food, enabling them to deliver practical digital tools (search, harmonization, analytics) that make scattered research and industry data usable. Most recently, they have moved into building commercial data platforms for food safety certification and precision agriculture.
What they specialise in
Coordinated TheFSM (Food Safety Market data platform, their largest project at EUR 1.2M) and participated in DIVERSify on sustainable agriculture.
Core contributor to FREME (multilingual semantic enrichment), OpenMinTeD (text and data mining), and applied semantic harmonization in CYBELE.
Coordinated BigDataGrapes (big data for grapevine industries) and worked on HPC-powered analytics in CYBELE.
Participated in CYBELE focusing on precision agriculture and livestock farming through HPC and large-scale datasets.
How they've shifted over time
Agroknow started as a data services company focused on digital content infrastructure — multilingual semantic enrichment, open science frameworks, and e-infrastructure roadmaps for agriculture (FREME, EGI-Engage, OpenMinTeD, e-ROSA in 2015-2018). From 2018 onward, they shifted decisively toward applied agri-food data products: big data analytics for specific industries like viticulture (BigDataGrapes), precision farming through HPC (CYBELE), and commercial food safety data marketplaces (TheFSM). The trajectory is clear — from horizontal data technology provider to vertical agri-food platform company with growing commercial ambition.
Agroknow is moving from research-oriented data infrastructure toward market-ready, industry-specific data platforms in food safety and precision agriculture — expect them to seek partnerships with food industry players and farm technology providers.
How they like to work
Agroknow balances leadership and partnership: they coordinated 3 of their 9 projects (33%), including their two largest by funding (BigDataGrapes and TheFSM), showing growing confidence as project leaders over time. With 150 unique partners across 36 countries, they operate as a well-connected hub rather than a closed-circle player. Their average project size and mix of RIA and IA schemes suggest they are comfortable in both research-heavy and closer-to-market consortia.
Agroknow has built an extensive European network of 150 unique partners across 36 countries, indicating broad reach well beyond the Greek research ecosystem. Their partnerships span research institutions, e-infrastructure providers, and agri-food industry actors across the EU.
What sets them apart
Agroknow occupies a rare niche: they combine deep data engineering skills (semantics, interoperability, big data) with genuine domain expertise in agriculture and food. Unlike pure-tech companies that treat agriculture as just another vertical, Agroknow has spent 5+ years building domain-specific vocabularies, ontologies, and data pipelines for agri-food. For consortium builders, they bring a credible bridge between ICT infrastructure partners and agri-food end users — a combination that is hard to find in a single SME.
Highlights from their portfolio
- TheFSMTheir largest project (EUR 1.2M) and most recent coordination role — building a commercial food safety data marketplace, signaling their strategic direction toward market-ready platforms.
- BigDataGrapesCoordinated a big data project targeting the grapevine/wine industry — an unusual and specific application domain that demonstrates their ability to apply data tech to niche agri-food sectors.
- CYBELELargest consortium involvement combining HPC, precision agriculture, and livestock farming — shows their capacity to operate in computationally intensive, large-scale data environments.