Generative AI writes well, but doesn't know what's true. The Isagog platform anchors language models to a knowledge graph built from your documents: every answer is grounded in facts, verifiable, and runs where you decide.
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Analytic agents read your documents and turn them into a knowledge graph: entities, facts, relations.
The graph works together with vector search: the precision of reasoning plus the breadth of retrieval.
Answers are generated by the language model, but anchored to and verified against the facts in the graph.
Agents that analyze documents and populate the knowledge, agents that search, agents that converse.
You compose and coordinate them from the interface, without writing a line of code.
Each project has its own agents, its own tools, its own workspace.
Transparency: every answer is verifiable — you can inspect the sources, steps and tools the AI used.
Data sovereignty: the platform runs on your infrastructure, even with small, open models.
Compliance (EU AI Act, GDPR): role-based access, strong authentication, isolated data for every workspace.
Cost control: choose your models, set usage limits, no vendor lock-in.