Navigating Financial Complexity: Drive Growth, Mitigate Risk, and Innovate with Temporal Intelligence

The financial services sector operates in an environment of unprecedented data volume, regulatory scrutiny, and dynamic risk. Pometry's natively temporal graph platform empowers financial institutions to transform these challenges into opportunities, unlocking predictive insights, ensuring agile compliance, and building next-generation AI-driven solutions.

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

navigating the landscape

Mastering Data, Risk, and Regulation in a Constantly Evolving Market

Financial institutions face intense pressure to innovate while managing evolving risks, complex regulatory landscapes (from MiFID II to AMLD6), and vast, siloed data estates. Success demands a shift from reactive measures to proactive, data-driven strategies that can anticipate change and act with precision.

Achieve Holistic Risk Intelligence

Unify disparate data sources into a dynamic temporal graph for a complete, real-time view of credit, market, operational, and financial crime risks across your enterprise.

Navigate Regulatory Complexity with Agility

Leverage native temporality for immutable audit trails, transparent data lineage, and automated reporting to master complex regulations and adapt swiftly to changes.

Modernise Financial Operations

Modernise Financial Operations with Temporal Graphs

Empower your institution with dynamic, historically aware data intelligence. Pometry helps you stay ahead of evolving risks, streamline compliance, and unlock new opportunities with a powerful, natively temporal platform built for the future of financial services

Drive AI-Powered Growth & Efficiency

Go beyond simple relationship discovery. Enable AI to analyse behavioural sequences, identify recurring failure patterns, and detect multi-hop risks by examining data dynamics over time.

Unparalleled Data Agility & Insight

Benefit from record-breaking data ingestion, extreme query performance on terabytes of data, and the unique ability to analyse how financial instruments, markets, and behaviours evolve.

Advanced AML & Financial Crime Prevention

Detect sophisticated, evolving financial crime patterns with temporal network analysis, AI-driven anomaly detection, and dynamic risk scoring

Intelligent Asset & Wealth Management

Forecast market shifts, optimise cross-asset portfolios in real-time, and deliver hyper-personalised client experiences with predictive temporal insights.

Dynamic Risk Management & Stress Testing

Model and monitor systemic risk, perform complex "what-if" scenario analysis, and understand cascading impacts through our temporal graph capabilities and Alerts Engine.

Next-Generation KYC & Customer Intelligence

Achieve true Know Your Customer (KYC) with dynamic entity resolution, behavioural analysis over time, and a holistic view of customer interactions and evolving risk profiles.

Real-Time Market Abuse & Surveillance

Proactively identify and investigate market manipulation and abusive trading patterns by analysing the temporal dynamics of trading relationships and activities.

Streamlined Regulatory Reporting & Audit

Leverage native temporality for immutable data records, ensuring transparent, accurate, and efficient generation of regulatory reports and simplified audit processes.

Read our articles

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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

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

Explore

Our Documentation

Our platform streamlines the entire data process, from cleaning to visualization. Experience seamless integration and enhanced insights with every step.

Build the Future of Finance with Pometry

Equip your institution with the world's only natively temporal graph platform to navigate complexity, drive innovation, and secure a competitive advantage. Discover how Pometry can transform your approach to data, risk, and client value in the financial services industry.