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INNOVATOR
SIRMA AI EAD
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DETAILS
Organisation type
Large Enterprise
Address
135 TSARIGRADSKO SHOSE BLVD
1784 Sofia
Bulgaria
Contact
E-mail this innovator
Funding
Total H2020 EU funding 2m
Sirma AI, trading as Ontotext, is a global leader in enterprise knowledge graph technology and semantic database engines. Founded in 2000, we quickly joined the club of Semantic Web pioneers. Today our technology and solutions are spread wide across the value chain of the most knowledge intensive enterprises in the Financial services, Publishing, Healthcare, Pharma, Industry, Public Sectors and Defence. We have over 40 clients in Forbes Global 2000. We help enterprises connect the dots of their knowledge and gain insights across diverse data sources. Knowledge graphs facilitate establishing a machine-readable contract about the meaning of the data and enable standardized data exchange, efficient data integration, discovery and accurate interpretation. Our semantic database engine, called GraphDB, uses AI to put data in context and deliver deeper insights by interlinking information across silos and enriching it with external domain knowledge. Ontotext’s commercial successes have their roots in our dedication to innovation. Since 2002, the company has participated in more than 50 research projects with national and international funding. Through the years we have received several awards as the most innovative business in Bulgaria.
This innovator is on:
Economic sectors this organisation is active in:
  • INFORMATION AND COMMUNICATION > Computer programming, consultancy and related activities
Ontotext Essentials Brochure

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GraphDB Product Brochure

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Semantic Technology Value Chain

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Partnership
This organisation is seeking partnerships of the following nature:
  • Research Partners
  • Strategic Business Partners
  • Distributors in new markets
  • Licensing opportunities
 
Innovations
This organisation has been identified as a Key Innovator for the following 4 EU-funded innovations:
All innovations listed above are ranked by freshness of data, i.e. the innovations most recently analysed by Innovation Radar appear at the top