CogniCraft

The Problem

Entity de-duplication is basic requirement for many business problems, where exact or approximate matches must be found within a very large set of entities.

Our Solution

InfinitiX platform provides an ANN engine that segments the vector space into tagged clusters using specialized algorithms executed in-memory. These clusters can then be used to quickly find close neighbors of a given vector, i.e., an approximately close solution to a given problem. Subsequently, the platform allows for finer refinements within a small search space around the approximate solution to find the exact solution.

Applications Of Our Platform

The solution delivers benefits to several use cases across industries, some of them are listed below:

Government - Identity management Fraud analytics, National security Document search
Telecommunication - Fraud analytics, Identity management (KYC deduplication), Campaign design
Finance & Insurance – Fraud analytics, Time series predictions, Credit score analysis, Stock market predictions
Healthcare - Find related patients for rationalization of healthcare data
Pharma – Drug repositioning to extend the therapeutic range of existing drugs
Ecommerce, Sales, Marketing – Contextual advertising, Behavioral targeting
Supply Chain Optimization – Capacitated vehicle routing
Industrial Automation – Quality control (Outlier detection), Fault forecasting, Chemical similarity analysis (Open Modified Searching)

Entity Deduplication

Entity de-duplication is basic requirement for many business problems, where exact or approximate matches must be found within a very large set of entities.

Our Solution

Applications Of Our Platform

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