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LynxKite - The Complete Graph AI Platform

LynxKite is a powerful open-source analytics tool built by Lynx Analytics for very large graphs and other datasets. It effortlessly helps reveal hidden network properties and detects unknown clusters in otherwise dormant raw data.

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How LynxKite is Being Used

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Gene expression analysis to identify potential therapeutic targets

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Automatically generate graphs that map to specific properties (e.g. protein to protein interactions)

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Perform correlation analysis and simulate changes to understand impacts

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Route optimization for transport and logistics companies

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Make routing decisions

based on cost/benefits outcomes

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Integrated Graph AI optimization function based on multiple parameters

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Large-scale network planning for telecoms

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Build and explore possible cable routes using third-party geo data

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Advanced functions such as Prize Collecting Steiner Trees to determine optimal network layout

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Product recommendation for upsell and cross-sell for e-commerce vendors

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Leverage existing customer data and catalog

information

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Perform affinity analysis to determine next-best

offer or action

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From Graph Discovery to Visualization, To Graph Al: A One-Stop Shop

LynxKite helps analytics teams transform data into graphs and let users perform advanced analytics, regardless of their proficiency level with graphs and data science. It is the ideal tool for enterprises that want to experiment with Graph Al analytics, minimize the learning curve, and accelerate' proof of value.

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Main Features

  • Import data (from MB to TB) from a variety of sources by working directly with traditional data sources or graph databases
  • Use algorithms from a large library of graph operations, including Graph AI operations
  • Put together complex data processing pipelines where you can combine graph operations, classical data analysis operations, and machine learning
  • Experiment with different approaches by discovering graphs and interpreting algorithm results at any step of the calculations, and tuning parameters
  • Combine the benefits of a friendly "no code" GUI as well as coding via a powerful Python integration (code embedding, Python API, code generation)
  • Scale to billions of edges thanks to the Apache Spark cluster computing engine and the NVIDIA cuGraph GPU-accelerated algorithm library

Our Technology Partners

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Azure
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Talk To a Graph Specialist

We offer tailored consulting services to implement LynxKite in your analytics environment and accelerate the learning curve. Having developed LynxKite, we are in the best position to help you learn how to use graph AI analytics to achieve your goals.