Articles

Blog posts and thought leadership.

Transformation
The hidden failure modes of complex transformation projects
Large organisations today have more delivery data than ever. And yet, major programmes still drift. There is a mismatch between what transformation leaders can see and how transformation systems actually behave.
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Transformation
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, all introduced with a clear aim. In many respects, this worked. But it also created a new problem.
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AI
The Missing Link for AI Agents: Why a Native Temporal Graph is Non-Negotiable
The OpenAI Cookbook on Temporal Agents with Knowledge Graphs provides a blueprint for the next generation of AI. But a blueprint needs the right materials, and the ideal foundation is a native temporal graph.
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Community
The coordination problem at the heart of AML
Why two completely rational individuals might not cooperate, even when it's in their best interest. A game theory classic with surprising real-world applications.
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Platform
Are Temporal Graphs Relevant to You?
Standard graph databases show you the world as it is right now. But what if you're only seeing a single frame from a feature-length film?
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Platform
The Graph Model vs. The Relational Model
Gartner predicts graph technologies will be used in 80% of data and analytics innovations by 2025. When should you use a graph model instead of a traditional relational database?
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Research
The Alan Turing Institute: The Dizzy Potential of Dynamic Graphs
We're thrilled to be featured in a recent article by The Alan Turing Institute highlighting the power of Raphtory in overcoming the limits of traditional data analysis.
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Financial Crime
Beyond the Transaction: Holistic Network Analysis for Advanced Fraud & AML
Sophisticated financial criminals don't think in single transactions; they think in networks. To fight modern financial crime, you need to see the entire, dynamic picture.
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Financial Crime
From Noise to Signal: Slashing False Positives in Fraud and AML Investigations
For every real threat, compliance teams are buried under an avalanche of false positives. The key to solving this isn't more alerts, but more clarity.
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Financial Crime
From Hours to Seconds: High-Performance Fraud Investigation at Scale
Every minute spent waiting for a query to run is a minute a criminal has to cover their tracks. Investigators need tools that operate at the speed of their own curiosity.
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Financial Crime
The patterns financial crime leaves in your data (and why your tools miss them)
Modern financial criminals are choreographers of complex schemes. The true criminal intent is hidden in the pattern, not the individual steps.
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AI
The Rosetta Stone for Your Data: A Unified Temporal Engine for AI
Your most valuable insights are scattered across dozens of disconnected systems. For an AI application, trying to make sense of this fragmented landscape is like reading a story with every other page torn out.
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AI
Why your search tools are missing the dimension that matters most
Semantic search operates in a flat, timeless world. True understanding requires a fourth dimension: time.
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AI
Context at Ludicrous Speed: Powering Real-Time AI at Scale
The value of an insight diminishes with every passing second. As datasets grow larger and more dynamic, context retrieval becomes a crippling bottleneck.
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AI
Beyond the Snapshot: Why Evolving Context is the Future of AI
Vector embeddings capture meaning at a single point in time. But this is like understanding the world through disconnected photographs. The story is lost between the frames.
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Financial Crime
Beyond the Snapshot: The Power of Dynamic Risk Scoring for Real-Time AML
A traditional risk score is a snapshot in time that becomes outdated the moment it's calculated. In the fast-paced world of financial crime, this is a critical vulnerability.
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Financial Crime
How to find collusion in data that was designed to hide it
Sophisticated criminals hide behind complex webs of shell companies and nominee directors. To break through, you need to reconstruct the entire, evolving history of control.
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AI
A Symphony of Agents: The Unified Temporal Foundation for AI Teams
Multi-agent AI systems are only as strong as their shared context. Without a single, reliable source of truth, AI teams descend into chaos, working with conflicting data.
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AI
From What to Why: Supercharge Your RAG with Temporal Depth
Standard RAG applications have a blind spot: time. They can retrieve what an entity is, but they can't understand its journey.
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