ONTOTEXT AD

Their core work

Ontotext is a Bulgarian software company specializing in semantic technology, knowledge graphs, and intelligent data integration. They build graph databases and text analytics platforms that help organizations link, enrich, and query large volumes of unstructured and structured data. Across their H2020 portfolio, they have provided semantic search, natural language processing, and linked data capabilities to projects ranging from medical text analysis (KConnect) to business data integration (euBusinessGraph) and cultural heritage (EHRI). Their core value lies in turning messy, multilingual data into machine-readable, interconnected knowledge.

What they specialise in

How they've shifted over time

In the early period (2015–2017), Ontotext focused on data marketplaces, medical text search, and research infrastructure — essentially applying their semantic technology to structured data products and domain-specific search. From 2018 onward, their work shifted toward multimodal analytics, knowledge graph construction, cross-lingual event processing, and medical image analysis via ontologies. The trajectory shows a clear move from text-centric data integration toward richer, multimodal knowledge discovery combining text, images, and multilingual content.

Ontotext is expanding from pure text/data semantics into multimodal AI and cross-lingual analytics, positioning themselves for projects that need to connect diverse data types — text, images, and structured records — through knowledge graphs.

How they like to work

Ontotext operates exclusively as a participant or partner — they have never coordinated an H2020 project, which is typical for a technology SME that provides specialized components rather than leading research agendas. With 94 unique consortium partners across 28 countries, they are remarkably well-networked and clearly comfortable integrating into diverse consortia. Their role pattern suggests they are a trusted technology provider that teams recruit when they need semantic infrastructure, rather than a group that drives the research vision.

Ontotext has collaborated with 94 unique partners across 28 countries, giving them one of the broadest networks for a Bulgarian SME. Their partnerships span Western European universities, research institutes, and technology companies, with no obvious geographic concentration beyond pan-European coverage.

What sets them apart

Ontotext is one of very few European SMEs that combines a commercial graph database product with deep NLP and semantic web expertise — they are not just researchers but technology vendors whose tools get deployed in production. Their Bulgarian base gives them a cost advantage while their 28-country network proves they operate at a fully European level. For consortium builders, they offer a rare combination: a proven SME partner that brings both reusable technology infrastructure and research capability in knowledge graphs and text analytics.

Highlights from their portfolio

• EHRI
  Largest funding (EUR 342,419) and longest duration — a major research infrastructure project for Holocaust studies, showing Ontotext's ability to handle sensitive cultural heritage data at scale.
• euBusinessGraph
  Directly aligned with their commercial knowledge graph expertise — building the European Business Graph as a data product, bridging research and market application.
• EXA MODE
  Represents their expansion into medical image analysis and multimodal ontologies, signaling a new direction beyond text-only semantics.