Semanticly

Semanticly is a semantic-technology contracting company that positions itself around "Knowledge Engineering Grounded in Evidence." According to its official website, the practice is led by an independent consultant working in semantic engineering, ontologies, knowledge graphs, and evidence-driven curation. The brand's stated mission is to help research organisations, non-profits, and mission-driven teams — particularly those working with biomedical and environmental data — build systems in which experts deepen their understanding of their own domain. Semanticly's service portfolio is organised around four main areas. Semantic Entity Mapping aligns the same real-world entities across different identifier schemes, data models, and ontologies so that data becomes interoperable end-to-end. Evidence-Driven Curation combines rigorous evidence documentation with domain expertise and modern automation to make knowledge systems trustworthy and maintainable. Ontology & Knowledge Graph Engineering covers the design, build, and sustainment of ontologies and knowledge graphs with reproducible infrastructure, full provenance, and FAIR compliance. Community Building & Data Governance helps clients create self-sustaining communities around shared data missions, with governance structures, shared infrastructure, and training intended to outlast any single engagement. The company publishes case studies illustrating its applied work. One highlighted case, "Mondo: Evidence-Driven Disease Curation at Scale," describes how automated extraction, rigorous evidence documentation, and community collaboration maintain a unified disease ontology used worldwide. Another, "Every Cure: Drug Repurposing Powered by Knowledge Graphs," describes embedding with a non-profit's data team to design the disease list powering drug repurposing predictions and advancing open science practices for mission-critical data. Semanticly presents itself as a specialist consultancy rather than a product vendor, with a public presence on LinkedIn, GitHub, ORCID, and Google Scholar. Wikidata classifies it as a company specialising in semantic technologies contracting. Detailed corporate facts such as founding year, headquarters, ownership, and executive leadership are not established by the available evidence.

Semanticly is a semantic-technology contracting company. Its official website presents the practice as an independent consultancy led by a consultant working in semantic engineering, ontologies, knowledge graphs, and evidence-driven curation. The site states that the consultant helps research organisations, non-profits, and mission-driven teams working with biomedical and environmental data build systems where experts grow their understanding of their own domain. The company's public materials describe four service lines. Semantic Entity Mapping connects disparate semantic spaces by aligning the same real-world entities across different identifier schemes, data models, and ontologies, so that data becomes interoperable end-to-end. Evidence-Driven Curation provides collaborative workflows that combine rigorous evidence documentation with domain expertise and modern automation, so that knowledge systems are trustworthy and maintainable. Ontology & Knowledge Graph Engineering covers the design, build, and sustainment of ontologies and knowledge graphs with reproducible infrastructure, full provenance, and FAIR compliance. Community Building & Data Governance builds self-sustaining communities around shared data missions, with governance structures, shared infrastructure, and training that outlast any single engagement. Semanticly also publishes case studies. One case study, "Mondo: Evidence-Driven Disease Curation at Scale," describes how automated extraction, rigorous evidence documentation, and community collaboration maintain a unified disease ontology used worldwide. Another, "Every Cure: Drug Repurposing Powered by Knowledge Graphs," describes embedding with a non-profit's data team to design the disease list powering drug repurposing predictions and advancing open science practices for mission-critical data. The company maintains a public presence on LinkedIn, GitHub, ORCID, and Google Scholar. Wikidata classifies Semanticly as a company specialising in semantic technologies contracting. The available evidence does not establish a founding year, headquarters location, ownership structure, or named executives.

Independent consultancy for evidence-grounded knowledge engineering, serving research organisations, non-profits, and mission-driven teams working with biomedical and environmental data.

• Semantic Entity Mapping

  Connects disparate semantic spaces by aligning the same real-world entities across different identifier schemes, data models, and ontologies, so data becomes interoperable end-to-end.

• Evidence-Driven Curation

  Collaborative workflows that combine rigorous evidence documentation with domain expertise and modern automation, so knowledge systems are trustworthy and maintainable.

• Ontology & Knowledge Graph Engineering

  Design, build, and sustain ontologies and knowledge graphs with reproducible infrastructure, full provenance, and FAIR compliance.

• Community Building & Data Governance

  Build self-sustaining communities around shared data missions, with governance structures, shared infrastructure, and training that outlast any single engagement.

1. 1semanticly.ai | Knowledge Engineering Grounded in Evidencesemanticly.ai
2. 2Semanticly — Wikidatawikidata.org