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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Aktiver
Aktiver

Aktiver

Founded 2020

Transform raw unstructured data into traceable knowledge graphs for enterprise AI reasoning

Pricing model

Demo

You can use Aktiver to convert unstructured files like PDFs, spreadsheets, and manuals into structured knowledge graphs. Instead of relying on standard retrieval systems that make guesses, it builds an open RDF ontology so your AI models can verify facts directly from source documents. Non-technical domain experts can edit and refine the knowledge base through a visual interface. It lets you build reasoning agents with full evidence chains, deploy them behind your own corporate firewall, and run complex multi-step queries safely without cloud exposure.

What Aktiver does

Convert PDF manuals and text files into queryable knowledge graphsQuery complex data graphs using standard SPARQL syntaxExport structured ontology files to OWL and Protégé formatsValidate extracted semantic relations against domain-specific SHACL rulesTrace AI conclusions back to specific paragraphs in raw source filesRefine taxonomies and entity categories using a visual editing dashboardDeploy semantic AI agents locally behind a private enterprise firewallConverts raw documents and relational databases into structured knowledge graphsGenerates RDF and OWL native ontologies automatically from unstructured textProvides full citation and evidence trails back to exact source documentsVisual taxonomy editor allowing domain specialists to refine graphs without codingSupports on-premises and behind-the-firewall deployment without cloud data sharingDrag-and-drop agent builder connecting models directly to structured semantic graphsExports graph definitions directly to Protégé and W3C standard formats

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Protégé

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Aktiver, knowledge graphs, ontologies, RDF, OWL, SPARQL, SHACL, deterministic reasoning, RAG alternative, enterprise AI, data ingestion, data lineage, on-premise AI, Protégé, semantic reasoning