The context layer for high stakes decisions
Pometry's time-aware context graph reduces execution risk by enabling richer reasoning across people, systems & AI — without re-platforming or moving your data.
Trusted by
armasuisse
Syntheticr
DeepFlow
Micron
Los Alamos National Labs
Tether
Snowflake
armasuisse
Syntheticr
DeepFlow
Micron
Los Alamos National Labs
Tether
Snowflake
armasuisse
Syntheticr
DeepFlow
Micron
Los Alamos National Labs
Tether
Snowflake
The only system with time travel built-in
Pometry enables analysis of complex relationships over time. Gain insights traditional methods overlook, empowering more informed decision-making.
Temporal by design
The only system engineered to see how data changes over time.
Your data, your servers
Keep your data on your servers, edge devices or air-gapped machines.
From installation to insight
Bleeding edge technical performance means results in weeks, not months.
Proven where it matters
Decision-grade insight that's trusted by leading governments, enterprises and research labs.
HOW IT WORKS
Fast and flexible decision-grade context
Modern data relationships shift constantly, creating complexity that traditional tools cannot model. Pometry empowers you to map, analyze, and act on these evolving patterns at scale.
Installation
Unparalleled deployment flexibility thanks to a tiny, 10MB binary. Install on servers, edge devices or air-gapped machines.
Mapping
Map massive, fragmented data sets to Pometry's temporal graph ontology - without the need for complex pre-processing or large-scale infrastructure.
Understanding
Get instant insight via Neuro-Symbolic LLM, or build advanced analytics pipelines with rich ecosystem compatibility and forward-deployed assistance.
Works seamlessly with your stack
Our platform streamlines the entire data process, from cleaning to visualization. Experience seamless integration and enhanced insights with every step.
AWS
Seamlessly deploy on AWS to take advantage of secure, high-throughput graph workloads. Pometry’s native support ensures you leverage your existing cloud architecture without costly rework or specialized hardware.
GCP
Run advanced temporal analytics directly within your GCP environment. Optimized integration means you can scale from proof-of-concept to production faster, keeping your data secure and under your control.
Snowflake
Unify temporal analytics with Snowflake’s data cloud for frictionless, high-performance querying. Pometry extends Snowflake’s capabilities, delivering new insights from dynamic relationships over time.
The numbers speak for themselves
10x
Reduction in cloud compute cost
30%
In unlocked efficiencies
2 weeks
For a comprehensive POC
Read our articles
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Analytics
Why delivery optimisation is making transformation worse
For more than a decade, large banks have invested heavily in improving delivery. Agile at scale, lean governance, value-stream management, cloud tooling, and increasingly sophisticated PMOs were introduced with a clear aim: make transformation faster, cheaper, and more predictable. In many respects, this worked...
January 14, 2026
4 mins
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Analytics
The Missing Link for AI Agents: Why a Native Temporal Graph is Non-Negotiable
The recent OpenAI Cookbook on “Temporal Agents with Knowledge Graphs” has provided a brilliant blueprint for the next generation of AI: agents that don’t just answer questions, but reason over time, understand evolving contexts, and maintain a persistent, accurate memory. The cookbook perfectly outlines the what and the why – and the need to systematically update and validate a knowledge base, perform multi-hop retrieval, and resolve temporal conflicts.
August 27, 2025
3 min 52 sec
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Analytics
Prisoners Dilemma and advanced Graph analytics
Have you ever wondered when it’s better to cooperate versus when you should just look out for yourself? This is one of the oldest questions in human interaction, and a famous concept from game theory helps explain it perfectly: The Prisoner’s Dilemma.
February 16, 2022
2 min 23 sec
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Analytics
Are Temporal Graphs Relevant to You?
If you’re exploring the world of data analytics, you’ve seen the power of graphs. By modelling your data as a network of entities (like people or products) and their relationships (like transactions or interactions), you unlock powerful insights that are easy for anyone to understand. But what if you’re only seeing a single frame from a feature-length film?
January 9, 2022
2 min 3 sec
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Analytics
The Graph Model vs. The Relational Model
Graphs have attracted significant interest in recent years. In this blog, we dive deeper into the differences between the graph model vs the relational model to get a clearer view on when you might use one over the other.
October 18, 2021
1 min 26 sec
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Analytics
The Alan Turing Institue: The Dizzy Potential of Dynamic Graphs
We're thrilled to be featured in a recent article by The Alan Turing Institute that highlights the power of our temporal graph system, Raphtory, in overcoming the limits of traditional data analysis.
December 1, 2020
58 sec
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Analytics
Holistic Network Analysis Over Time
For every real threat, compliance teams are buried under an avalanche of false positives. This “alert fatigue” is more than just an annoyance; it’s a critical vulnerability and a massive operational drain. Investigators waste precious time chasing ghosts born from monitoring systems that lack context, while sophisticated, genuine threats risk being lost in the noise. The key to solving this isn’t more alerts, but more clarity.
1 min 34 sec
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Analytics
Reduce False Positives
For every real threat, compliance teams are buried under an avalanche of false positives. This “alert fatigue” is more than just an annoyance; it’s a critical vulnerability and a massive operational drain. Investigators waste precious time chasing ghosts born from monitoring systems that lack context, while sophisticated, genuine threats risk being lost in the noise. The key to solving this isn’t more alerts, but more clarity.
1 min 41 sec
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Analytics
High-Performance Investigation at Scale
For an investigator, time is the most critical resource. Every minute spent waiting for a query to run is a minute a criminal has to cover their tracks. Unfortunately, legacy systems simply can’t keep up with the scale of modern data. The result is a slow, frustrating process where deep, exploratory analysis is impossible. To win the fight against financial crime, investigators need tools that operate at the speed of their own curiosity.
1 min 40 sec
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Analytics
Advanced Behavioural Sequencing
Modern financial criminals are choreographers of complex schemes. They don’t rely on a single, obvious action but on a carefully orchestrated sequence of events designed to appear legitimate in isolation. From smurfing and structuring to synthetic identity fraud, the true criminal intent is hidden in the pattern, not the individual steps. To defeat these adversaries, you must learn to read the grammar of their crimes by analysing the sequence of their actions over time.
1 min 26 sec
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Analytics
Unified Temporal Engine for AI
Your most valuable insights are not hidden in a single database; they are scattered across dozens of disconnected systems. Customer data lives in one silo, transaction logs in another, and event streams in a third. For an AI application, trying to make sense of this fragmented landscape is like trying to read a story with every other page torn out. To unlock true intelligence, your AI needs a unified, historically aware foundation.
1 min 18 sec
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Analytics
True Semantic Understanding Across Time
Semantic search was a monumental leap forward, allowing us to find information based on meaning, not just keywords. But it operates in a flat, timeless world. It can find what you’re looking for, but it often misses the deeper context of why it’s relevant now. True understanding, the kind that drives accurate decisions, requires a fourth dimension: time.
1 min 21 sec
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Analytics
High-Performance Context at Scale
An AI application can have the most sophisticated reasoning capabilities in the world, but if it’s waiting for data, it’s useless. In today’s high-velocity environments, the value of an insight diminishes with every passing millisecond. The challenge is that as datasets become larger and more dynamic, the context retrieval process becomes a crippling bottleneck, leaving your AI feeling perpetually slow and a step behind reality.
1 min 35 sec
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Analytics
Evolving Context Beyond Static Vectors
Vector embeddings have given AI applications a phenomenal ability to understand semantic meaning at a single point in time. But this is like understanding the world through a series of disconnected photographs. While each photo is accurate, the story - the narrative of how things change and connect - is lost between the frames. For AI to achieve true contextual understanding, it needs to see the whole movie, not just the snapshots.
1 min 29 sec
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Analytics
Dynamic Risk Scoring
A traditional risk score is a snapshot in time. It’s a static assessment based on current data that becomes outdated the moment it’s calculated. In the fast-paced world of financial crime, this is a critical vulnerability. Bad actors can escalate from low-risk to high-risk in minutes, not months. To combat this, you need a dynamic risk scoring model - one that lives, breathes, and adapts in real-time as new data arrives and behaviours change.
1 min 52 sec
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Analytics
Unmasking Collusion & UBOs
Sophisticated criminals and sanctioned individuals are masters of concealment. They hide their influence behind complex webs of shellcompanies, trusts, and nominee directors, making it nearly impossible fortraditional KYC and due diligence checks to identify the Ultimate Beneficial Owner (UBO). To break through this wall of obfuscation, you need to go beyond static ownership charts and reconstruct the entire, evolving history of control and interaction.
1 min 26 sec
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Analytics
Agentic AI Framework Support
The future of AI is collaborative. We are moving beyond monolithic models to sophisticated agentic frameworks – teams of specialised AIs working in concert to solve complex problems. But like any high-performing team, they need a single, reliable source of truth. Without a shared understanding of reality and its evolution over time, these AI teams, just like humans, descend into chaos, working with conflicting data and drawing contradictory conclusions.
1 min 36 sec
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Analytics
Advanced GraphRAG with Temporal Depth
Standard RAG applications are powerful, but they have a blind spot: time. They can retrieve what an entity is, but they can't understand its journey. Pometry’s temporal graph foundation empowers your AI to understand the crucial context of when and how connections form, change, and dissolve, transforming flat, static answers into rich, dynamic narratives.
1 min 18 sec
