Transform Your Data with Temporal Graph Analytics
Pometry's innovative tool simplifies the analysis of complex data relationships over time. Gain insights that traditional methods overlook, empowering your organization to make informed decisions.
Trusted by
Syntheticr
DeepFlow
Peking University
Los Alamos National Labs
Tether
Snowflake
Syntheticr
DeepFlow
Peking University
Los Alamos National Labs
Tether
Snowflake
Syntheticr
DeepFlow
Peking University
Los Alamos National Labs
Tether
Snowflake
Understanding Your Data's True Complexity
Pometry's innovative tool simplifies the analysis of complex data relationships over time. Gain insights that traditional methods overlook, empowering your organization to make informed decisions.
10x Your Time to Value
Proof of Concepts shouldn't take months, and onboarding new datasets shouldn't take weeks.
Reduce Production Challenges
Moving from POC to production often demands expensive, large machines and costly vendor specialists.
Remove Language Barriers
Friction exists between the languages spoken by stakeholders, DB analysts, and data scientists.
complexity
Understanding Your Data's True Complexity
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
Ingest millions of updates per second
Achieve unmatched ingestion speeds of 3 million edges per second.
Analyze terabytes on a laptop
Handle massive datasets without requiring large infrastructure.
Pipe natively to your favourite ML tools
Compute complex graph algorithms like FastRP and Temporal Motif mining in seconds.
Works Seamlessly With Your Tech 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 graph 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 graph analytics with Snowflake’s data cloud for frictionless, high-performance querying. Pometry extends Snowflake’s capabilities, delivering new insights from dynamic relationships over time
Why Leaders Choose Pometry
The numbers speak for themselves
These metrics prove the transformative power of Pometry. Accelerate insights, reduce infrastructure spend, and move to production with confidence.
10x
Reduction Cloud Compute cost
30%
In unlocked Revenue
2 weeks
POC - not 6 Months
Read our articles
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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
Unlock Your Data’s Potential
Discover how Pometry's temporal graph database can revolutionise your data analysis capabilities now.
