The capabilities that make Institutional AI possible.
Four core features that give your AI infrastructure temporal depth, structural reasoning, compounding memory, and the traceability regulators require.
Every entity. Every relationship. Updated live.
A dynamic temporal graph that captures every entity, relationship, and event across your organisation and keeps it live as your data changes. The foundation everything else is built on.
Real-time ingestion
Events flow continuously into the model and are reflected immediately — no batch reprocessing, no delays.
Point-in-time queries
Query the exact state of your organisation at any historical moment, down to the millisecond. Then compare it with today.
Entity resolution
Data from multiple sources is reconciled into a single view of each entity, with full lineage preserved throughout.
Temporal history
Every change is stored as a timestamped edge. Replay, audit, or compare any period without rebuilding from scratch.
AI that traces its reasoning, not just retrieves it.
NeuroSymbolic GraphRAG combines the pattern-recognition power of LLMs with the structural precision of temporal graph traversal. Answers that follow chains of relationships across time and cite every step.
Multi-hop reasoning
Follow chains of relationships across your organisation to answer questions that pure semantic search can't reach.
Traceable answers
Every response cites the exact nodes, edges, and timestamps used — not source documents, but live data.
Temporal context
Ask about any historical period and get answers grounded in what was actually true at that time.
LLM-agnostic
Works with any model that supports tool calling — Claude, GPT-4, Gemini, Llama, or your internal deployment.
Your organisation, learning from itself.
Most AI resets with every new query. Pometry's context model compounds over time — capturing structural patterns, preserving institutional knowledge, and making every new query richer than the last.
Pattern accumulation
Structural patterns that emerge over months or years are preserved and queryable — not lost to system resets or model context limits.
Cross-system unification
Data from disparate systems — project management, procurement, HR, finance — is unified into a single consistent view of your organisation's history.
Knowledge retention
When people leave, their relationships, decisions, and context remain in the system. Institutional memory doesn't walk out the door.
Compounding value
The longer Pometry runs, the richer the context it accumulates. Value grows with time. Every new event makes every past query more useful.
Every answer, fully provenance-traced.
Every output from Pometry's AI is traceable to the specific data that produced it. Full provenance, complete audit trails, and fine-grained access control baked in at the graph level.
Full data lineage
Every AI answer cites the exact nodes, edges, and timestamps used — not documents, but live data points with complete lineage back to source.
Role-based control
Granular permissions at the entity and relationship level. Define exactly what each user or system can query — at graph resolution, not document resolution.
Immutable history
The temporal log cannot be altered retroactively. An unimpeachable record for regulators, compliance teams, and internal audit.
On-disk operation
Data never leaves your environment. Works in air-gapped or hybrid deployments with no data egress required. Already used by Tier 1 banks and government agencies.
Learn more about Pometry's AI Infrastructure.
Book a call, view more information, or run a secure, two-week trial in your own environment.