Neuro-symbolic intelligence.
Pometry combines LLMs with deterministic graph, semantic and exact search, so answers are richer, more reliable and fully traceable.
Agents are intelligent. They just don't know your organisation.
Even the best, latest models are trained on generic, publicly available information. They don't understand the people, policies and practices that make your organisation unique, so they can't provide truly useful insight.
Standard approaches to provide context, like RAG, return fragments of information ranked by similarity. They don't provide in-depth semantic context over time, so they can't run complex algorithms grounded in fact.
Intelligence that combines deterministic context & generative AI.
Pometry pairs generative AI with a deterministic model of your organisation. The model holds the facts: what connects to what, who did what, and how it has changed over time. The AI brings reasoning and language.
On top of this, we make complex graph algorithms available to your AI so they can go further when responding to you: providing answers grounded in fact, running multi-faceted simulations and delivering agentic workflows.
Three search paths
Semantic, graph and exact retrieval run together in one engine, each answering the part of the question it's built for.
Causal chains, not fragments
Graph traversal follows real relationships over time, surfacing connections that similarity search can never see.
Analysis without the analysts
Questions that would otherwise need a data science team and a month of work are answered by asking, in plain language.
Experience Pometry in action
with a live demo.
Find out how you can close your visibility gap with unique, institutional intelligence.