“Prometheux data platform lets anyone on your team make highly optimised big data queries to your fragmented data sources and schemas, telling you exactly how it obtains the results.”
Group Head of
Advanced Risk Analytics
Leading Bank
"We used Prometheux…as our reasoning layer…abstracting away our various data sources, letting us iterate quickly on a virtual knowledge graph of our data and business rules, instead of writing complex database queries or migrating data."
“From drug discovery for AstraZeneca to financial data processing with the Central Bank of Italy, Prometheux powers highly scalable and explainable reasoning over the world’s largest knowledge graphs.”
Financial Network Analysis
A financial institution uses Prometheux to analyze complex ownership structures across a network with billions of relationships. By connecting internal and external databases into a virtual knowledge graph, they save 60% of analysts’ time, reduce human error and operational costs while ensuring traceable regulatory compliance.
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Drug Discovery
A major pharmaceutical company uses Prometheux to integrate datasets across different domains and formats, eliminating the need for task-specific pipelines. Building on their virtual knowledge graph, they enhance cross-departmental collaboration, data processing efficiency, and use fully explainable results to discover treatments faster.
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Data Processing
Organizations use Prometheux to perform highly optimised big data processing over their multiple databases and schemas. From tedious data migrations to scalable querying and analysis. They let Prometheux adapt to the size and schema of their datasets and build fast and explainable applications without the need to craft complex database queries.
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