PDFs, SQL, images, manuals — structured into knowledge graphs in minutes, so decisions happen before lunch. Deterministic. Traceable. Behind your firewall.
LLMs pattern-match. Your business needs reasoning. A model that can't show its evidence chain is a liability — not a co-pilot.
Retrieval-augmented generation gets you plausible answers. Aktiver builds a structured semantic layer underneath your AI, so every conclusion is deterministic, inspectable, and traceable back to the source.
Ingest anything. PDFs, SQL, CSV, JSON, images, training manuals — raw and unstructured.
Structure automatically. RDF-based ontologies generated in minutes, refined by your domain experts — no data science degree required.
Reason deterministically. Agents built on the graph deliver answers with evidence chains, not black-box guesses.
Surfaced 16,000+ deliberate AIS gaps across 1,400 vessels in the Black Sea — each traced to the page that reported it.
Linked CoQ10, magnesium and potassium to mitochondrial energetics in statin-treated patients — with the guideline text attached.
Six unrelated document types fused into one graph with lineage intact — no source collapsed into another.
Clinical agents that cite their sources — because "the model said so" is not a diagnosis.
→Deterministic inference over your own data, with evidence chains regulators can follow.
→Intelligence workflows where every conclusion carries its lineage.
→See your own documents become a queryable knowledge graph — live, in the first call.
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