Graph Analytics & AI

Unleash the power of graphs. Augment human decisions.

If a graph database is the beating heart of your contextual decision intelligence system, graph analytics and AI are its brain. Together, they deliver unrivaled results to empower data-driven professionals to swiftly cut through the noise of billions of entities and relationships and reveal answers to complex questions - augmenting human decisions with rich and precise context-based insights like never before.

Dive deeper in your data, faster

Leverage high-performance native graph algorithms to accelerate your time to insights in a variety of use cases. Linkurious’ graph analytics and AI capabilities help you uncover outliers, clusters, and trends, hidden deep within complex networks. Quickly optimize resource flows and routes, assess the importance and influence of groups of suspicious transactions and bad actors, or evaluate the resilience of your IT network.

Let your data work for you

Leverage graph analytics to make sense of complex connected data. Detect intricate patterns, identify communities, and enrich your machine learning models with contextual insights. Use these capabilities to enhance prediction accuracy, generate risk scores, detect fraudulent behaviors, and foresee supply chain disruptions or potential cyber threats.

Automate to work smarter, not harder

Simplify the use of graph analytics by automating your graph queries into recurring data enrichment workflows or alerts. Streamline data cleaning processes, enhance the detection of suspicious activities, and gain additional insights effortlessly. Linkurious empowers you to turn complex graph data into actionable intelligence within minutes.

Linkurious Decision Intelligence Platform

Supporting context-based decisions

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Features

Built-in graph algorithm library

Depending on your graph database, seamlessly access up to 65 advanced graph algorithms like PageRank, community detection, centrality, similarity or pathfinding.

Entity resolution AI

Integrate data from various sources, despite varying structures or formats.

Graph embeddings

Capture the complexity and structure of your graph and transform it for use with machine learning.

Graph-native ML techniques

Link prediction and node classification helps fill in the blanks in your data and predicts changes in the structure of your graph.

Graph based multi-model alerts

Via a user-friendly interface, combine multiple customized graph queries within a single alert to signal sophisticated patterns that would remain hidden with traditional systems and reduce the volume of false positives.

Core Technology

Entity Resolution AI

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Graph Database

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Graph Visualization

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They have made the leap forward

“Using Linkurious, the processing time to identify fraud rings was divided by 10, leading to quicker decision executions and faster regulatory reporting transmissions.”
Alexandre DressayreChief Compliance Officer, BforBank (Credit Agricole)
“We are able to identify patterns and ramifications of unusual transactions that were impossible to achieve with a traditional approach. Furthermore, when we repeat an analysis executed before having graph technology, we find additional connections that we missed on the first analysis.”
Miguel AguadoCompliance Director Asia Pacific, Ria Financial
“Integrating Linkurious has helped us unlock the full potential of our data, tools and workflow. It saves us time, allowing us to gain insight much more quickly.”
Frederick W. KaganDirector, Critical Threats Project
“Using Linkurious functionalities, our clients are able to reconstruct connections involving multiple levels of separation that would be impossible to identify with the traditional systems available to the investigation team.”
Leonardo BriziSenior Manager at Deloitte Forensic

Collaborating with industry leaders in graph analytics & AI

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