# Pometry — Full Content

> Pometry is AI infrastructure for large-scale transformation, used by tier-one financial institutions and government agencies. Pometry turns disconnected data into live, organisational context — so people, models, and agents can spot risks, trace decisions, and predict change with confidence. It installs alongside your existing systems (cloud, on-premise, or air-gapped), maps your data to a temporal context model in weeks, and keeps every answer fully traceable to its source.

## Homepage
URL: https://www.pometry.com/

AI is smart, but it doesn't know your organisation. To realise AI's potential you need more than models — you need the decisions, processes, and behaviours that make your organisation unique. Pometry provides the AI infrastructure that turns your data into live, organisational context, so models and agents can remember, reason, and predict in a way that's specific to you. Built for temporality and for scale.

## Platform — Context Layer
URL: https://www.pometry.com/platform/

The context layer connects your data to your AI models so they can reason, remember, and act with confidence. Enterprise data is siloed by design; connecting it has traditionally meant heavyweight migration projects. Pometry brings the model to the data — it maps your data to a context model wherever it already lives, installed alongside your existing infrastructure. Four capabilities: Live Context (instant visibility across disconnected systems), Hybrid Intelligence (complex questions, simulations, and agentic workflows via neurosymbolic GraphRAG), Regulatory-Grade Trust (trace every answer and action to its source), and Organisational Memory (a shared, self-improving memory for your team and your AI).

## Platform — Toolkit
URL: https://www.pometry.com/platform/toolkit/

Easy-to-use tooling for every persona. Business tools: talk to your data in natural language and get answers fit for a regulator, with full auditability and visual exploration. Developer and data-science tools: multiple languages and SDKs, real-time and bulk ingestion, a flexible query language, and 50+ temporal graph algorithms you can extend with your own Rust or Python. Agent tools: graph traversal as a tool call, temporal parameters built in, compatible with any model.

## Platform — Under the Hood (Technical)
URL: https://www.pometry.com/platform/technical/

The only context layer built for time and scale. Pometry's temporal graph engine is written from scratch in Rust on Apache Arrow to handle massive amounts of data over time. Temporality lives in the storage layer — every node and edge carries its full history — without slowing queries. Fast, disk-native, zero-copy columnar storage with SIMD-accelerated execution loads multi-terabyte graphs from cold in seconds. A ~10MB binary deploys on-premise, air-gapped, in any cloud, or embedded in an existing stack. Government-grade security: role-based access control, SOC 2, and data that stays in place.

## Platform — Capabilities
URL: https://www.pometry.com/platform/features/

The capabilities that make Institutional AI possible: real-time ingestion, point-in-time queries, entity resolution, and temporal history; multi-hop reasoning with traceable, LLM-agnostic answers; pattern accumulation and cross-system unification that compound in value; and full data lineage with role-based control, immutable history, and on-disk operation.

## Use Cases
URL: https://www.pometry.com/use-cases/

One context layer, many use cases. Project Risk: the warning signs are in your data but invisible to Gantt charts and BI dashboards — surface dependencies, bottlenecks, and emerging programme risk in real time. Reporting: every number has a story — full provenance, time-travel queries, and automated lineage. AML & FinCrime: detect network patterns, relationship clusters, and anomalous behaviour at scale. Knowledge Work: ground AI and agents in live organisational memory with neurosymbolic GraphRAG. Client Insight: a living view of client relationships that surfaces hidden connections and opportunities. Data Analytics: understand how entities and behaviour move and change over time.
Tab anchors: /use-cases/#project-risk, /#reporting, /#aml, /#knowledge-work, /#client-insight, /#data-analytics

## Implementation — How We Work
URL: https://www.pometry.com/platform/implementation/

From disconnected data to live context in as little as four weeks. Discovery: find the highest-value problems, looking at your goals, processes, and data landscape. Installation: deploy alongside your existing stack, cloud or on-premise including air-gapped, with no replatforming. Mapping: our team maps your data to its context model, with no engineering resource required from you. Interface: plug in your existing models and use the Toolkit to put your AI to work. Supported by forward-deployed engineers with enterprise SLAs.

## Company
URL: https://www.pometry.com/company/

A team of network scientists and industry experts who solved a hard problem together at the Alan Turing Institute, then set out to find harder ones. Pometry helps the world's largest organisations turn data into answers, and answers into action. Careers and open roles: careers@pometry.com.

## Insights
URL: https://www.pometry.com/insights/

Research, product news, and perspective on temporal graph intelligence, including white papers and technical writing from the team.

## Contact
URL: https://www.pometry.com/contact/

Request a demo, run a diagnostic on real data, or discuss a longer-term engagement.