Core contributor in EXA MODE (ontology discovery), euBusinessGraph (business data linking), BigDataGrapes (data integration), and TheFSM (food safety data platform).
ONTOTEXT AD
Bulgarian semantic technology SME building knowledge graphs and intelligent data platforms across health, food, media, and logistics domains.
Their core work
Ontotext is a Bulgarian technology SME specializing in semantic technology, knowledge graphs, and intelligent data linking. They build software that connects, organizes, and makes sense of large heterogeneous datasets — turning raw information into structured, queryable knowledge. In EU projects, they typically contribute the semantic layer: ontology design, knowledge graph construction, and AI-powered data integration that other partners build applications on top of. Their technology has been applied across domains from media verification and digital pathology to food safety and logistics.
What they specialise in
Coordinated WeVerify (content verification tools) and participated in COMPACT (social media research-to-policy).
Built data platform components in TheFSM (food safety marketplace), BigDataGrapes (grapevine industry data), and euBusinessGraph (European business data).
EXA MODE applied multimodal ontology discovery to medical image classification, segmentation, and digital pathology — their largest funded project (EUR 618K).
InnoRate project focused on data-driven technology rating and innovation assessment tools for investors.
How they've shifted over time
Ontotext's early H2020 projects (2017-2018) focused on broad data infrastructure — business graph linking, social media analysis, and big data platforms for industry. From 2019 onward, their work shifted toward applying semantic AI to specific high-value domains: medical imaging (EXA MODE), food safety (TheFSM), logistics (PLANET), and investment decision-making (InnoRate). This trajectory shows a company moving from horizontal technology provider toward domain-specialized knowledge graph applications.
Ontotext is increasingly embedding their semantic technology into vertical domains (health, food, logistics), making them a strong partner for any project needing intelligent data integration in a specific sector.
How they like to work
Ontotext overwhelmingly operates as a technology partner rather than a consortium leader — 7 of 8 projects as participant, with only WeVerify as coordinator. With 100 unique partners across 26 countries, they are a well-connected hub in the European research ecosystem, not locked into a small circle. This profile suggests they are easy to integrate into new consortia and experienced at delivering modular technology components within large, diverse teams.
Extensive network of 100 unique consortium partners spanning 26 countries, indicating broad European reach and high adaptability. For a Bulgarian SME, this is a remarkably wide collaboration footprint, suggesting they are actively sought out for their specialized capabilities.
What sets them apart
Ontotext is one of very few European SMEs with deep production-grade expertise in knowledge graphs and semantic technology — a capability that is increasingly critical as AI systems need structured, trustworthy data. Unlike academic groups that publish papers on ontologies, Ontotext ships working software, making them a practical technology partner who delivers deployable components. Their ability to apply the same core technology across wildly different domains (medical imaging, food safety, logistics, media verification) makes them unusually versatile for consortium building.
Highlights from their portfolio
- EXA MODETheir largest funded project (EUR 618K) and a bold application of knowledge graphs to medical image analysis and digital pathology — demonstrating cross-domain reach.
- WeVerifyTheir only coordinator role, focused on content verification and disinformation detection — shows leadership capability and relevance to the trust/media integrity space.
- TheFSMAn industrial data platform for food safety with a marketplace model — represents their move toward commercial, sector-specific data products.