The only end-to-end platform that takes you from raw files to published knowledge graphs to reasoning agents — with a human in the loop at every step.
Ontologies built in minutes. Unstructured data becomes a semantic layer while the meeting that requested it is still going.
On-premises or hybrid deployment. Proprietary data stays behind your firewall — connected to public sources, never exposed to them.
Every answer carries a clear evidence chain. Deterministic, non-stochastic reasoning — not black-box prediction.
Up to 50% GPU reduction. Structured knowledge means smaller models can outperform brute force.
Ontology management, graph publication, agent construction and inference — one platform, not four vendors.
Cloud-native architecture with no vendor lock-in. Run it where your risk profile says it should run.
Structured semantic environments replace fuzzy similarity search. On complex multi-step interactions, that's worth 20–30% in reasoning accuracy.
Non-stochastic reasoning means results are reproducible and every inference can be traced through the graph that produced it.
The people who hold the domain knowledge shape the ontology directly. Engineering effort drops to integration, not invention.
Modular, lightweight agent design with minimal code — swap models, extend pipelines, keep the graph as your stable foundation.
Bring a folder of PDFs to the demo. Leave with a knowledge graph.
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