Aktiver — semantic AI platform Deterministic · traceable · behind your firewall
Use cases

Where traceable reasoning
is not optional.

In regulated, high-stakes domains, "the model said so" doesn't hold. These are the places where an evidence chain is the product.

Healthcare & Pharma

Every decision, traceable to the evidence.

Clinical knowledge lives in guidelines, trial data, formularies and tribal PDFs. A cardiovascular build turned that material into 145 linked concepts and 284 recommended actions — every claim still pointing back to the page it came from.

  • Prebuilt clinical agents from the Agent Catalog
  • Answers linked to source guidelines, not vibes
  • On-prem deployment for PHI-grade privacy
evidence trace8,010 statements
Financial services

Reasoning that survives an audit.

Regulators don't accept stochastic answers. Deterministic inference over a governed knowledge graph means the same query yields the same answer — with the chain of evidence attached.

  • Reproducible, non-stochastic outputs
  • Risk and compliance knowledge unified in one graph
  • Up to 50% lower GPU spend on AI workloads
deterministic replayidentical every run
Government & Intelligence

From noise to signal, with provenance.

Analysts drown in documents; decisions need lineage. In a regional conflict build, six independent sources — encyclopedia entries, humanitarian reporting, sanctions notices and a video transcript — fused into one graph of 720 records, each still traceable to the document that produced it.

  • Secure fusion of internal and public datasets
  • Intelligence workflows via the Knowledge Builder
  • Deployed entirely inside your perimeter
source fusion6 sources · 1 graph
Manufacturing & Energy

Institutional knowledge that never retires.

Decades of manuals, maintenance logs and expert know-how walk out the door with every retirement. Turn them into a living ontology your whole workforce can query.

  • Training manuals and images become structured knowledge
  • Real-time updates as procedures change
  • SMEs refine the graph without writing code
living ontologyknowledge retained
Telecom, Media & E-commerce

Catalogs that understand themselves.

Products, content, customers and networks are already a graph — you just haven't built it yet. Semantic recommendations and support agents that reason instead of guessing.

  • Ontology-backed recommendations and search
  • Support agents grounded in your actual catalog
  • 20–30% better multi-step reasoning than RAG
semantic catalogreasoned matches

Your industry is on this page.
Your data should be in a graph.

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