
Data into actions and insights
Reduce Abandonment
Automatically validate customer details vis-a-vis other data with fewer document issues
Automate Payment Gateways
More daily applications processed with 2 sec processing
Faster Onboarding
Simplify customer onboarding by matching demographic data with KYC details in real-time
Match & Merge
Determine when entities are the same, possibly the same, related or possibly related
Perpetual Vetting
Continuous customer vetting for real-time understanding of the risk or opportunity
Regulatory Compliance
Meet stringent KYC, AML, and data privacy regulations with accurate, validated customer information
Dynamic, innovative, multi-use
Real time customer data validation
Link records across multiple systems, services, and disparate data sets to collect all the common information about one customer.
Eliminate manual errors through automated entity matching, reducing duplicate entries and inconsistencies.
AI-powered entity resolution engine assigns authenticity scores to each record for better decision-making

Authenticate, validate, and score customer demographic details
The key to a better customer experience is gathering all the information about a customer and deriving actionable insight from it. The first step to this is linking customer records across with Customer Entity Resolution and Matching.
With unparalleled performance and accuracy and a real-world understanding of data, the solution has been deployed to match millions of customer records.
Step 1:
Locate every occurrence of a customer across all enterprise systems, apps, and knowledge bases, whether on-premises or in the cloud

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Step 2:
Cross-reference customer details them with multiple sources and assign match scores
Step 3:
Authenticate and validate the data a customer submits during onboarding with KYC details
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Built for precision
Delivered through PrimeMDM Platform
The most powerful entity resolution engine
5 billion customer data
200% more correct matches
Real-time responses
Privacy by design
Leaders choose us for ‘The Posidex Advantage’

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Attain a single source of truth
We enable your teams with an all-encompassing real-time view of customers for profiling, synchronization, lineage and governance.
Enable global customer insights
Our solutions support federated and encrypted global customer search to unlock comprehensive insights.
Solutions that grow with you
With the capacity to manage 5 billion records in one go, our solutions scale effortlessly while delivering pinpoint accuracy of 99.5%.
Flashfast implementation and time-to-value
We offer one of the quickest deployments in the industry with ease integration. Our solutions are implemented as fast as just 3 months as opposed to the 1-year traditional industry standard.
Pay only for what you need
Whether for data quality, management, risk or compliance, we adapt to your unique needs with a wide array of customizable solutions.
Maximize returns with minimal investment
Our solutions are designed for minimal infrastructure and low total cost of ownership, so every dollar spent propels you toward greater profitability.
Hear from our customers
Frequently asked questions
Customer entity resolution and matching is the process of identifying records from different systems or data sources that belong to the same customer. It compares attributes such as names, addresses, contact details and other demographic information across all enterprise applications, databases, and knowledge bases to determine whether records represent the same, similar or related entity. This helps organizations create a more accurate and unified view of customer data.
Customer data is often distributed across applications, products, business lines and databases, with duplicate, incomplete or inconsistent records. Customer entity resolution and matching links these records to the right customer, helping organizations improve data accuracy, reduce duplication, accelerate onboarding and build a more complete customer view.
Customer record matching software compares customer records from different sources and determines whether they refer to the same entity. Posidex’s solution is far more advanced. Think of it as a specialized customer record matching software that connects disparate systems, services, and datasets to construct a unified view of each customer without requiring a shared unique identifier. It cross-references customer details against key identity documents and utility proofs (including PAN, Aadhaar/SSN, Passport, Voter ID, Driving License, and utility bills) to ensure seamless customer data reconciliation.
Customer data reconciliation involves comparing customer information across different systems and identifying discrepancies, duplicates and inconsistencies. Entity resolution helps establish which records belong to the same customer so that information from multiple sources can be linked and consolidated. This creates a more consistent customer view and reduces errors caused by fragmented records.
Data deduplication primarily focuses on identifying and removing duplicate records. Entity resolution goes further by determining whether different records represent the same real-world entity, even when the records contain variations or incomplete information. Entity resolution can therefore support deduplication as well as customer linking, relationship discovery, identity validation and the creation of unified customer profiles.
Entity deduplication in banking identifies multiple records that represent the same customer across systems such as core banking, lending, credit cards and other applications. It eliminates fragmented customer profiles across siloed systems. This helps banks create a reliable customer identity and improve downstream risk, compliance and business processes.
Posidex’s entity resolution technology successfully consolidated over 750 million records for major life insurance firms, eliminating duplicate entries while delivering 99.5% match accuracy. Trained on over 5 billion customer data records, the machine learning engine overcomes data quality variations, spelling errors, and missing fields to identify 200% more correct matches than conventional systems.
Real-time entity resolution for BFSI identifies and matches customer records as a transaction, application or customer interaction occurs rather than waiting for a periodic batch process. It can help banks, insurers and other financial institutions validate customer information during onboarding, KYC processes, payments and other time-sensitive workflows. Posidex supports real-time matching and API-based integration for low-latency use cases.
Real-time customer data validation compares information submitted by a customer against relevant records or data sources while the customer is being onboarded or serviced. Entity matching can identify inconsistencies, duplicates and potential matches, allowing organizations to validate customer information before proceeding with a business decision. Posidex's solution supports real-time validation of customer demographic information against KYC details.
Organizations should evaluate accuracy, matching flexibility, scalability, real-time performance, API integration, support for multiple data sources and the ability to handle variations in customer information. For BFSI organizations, it is also important to consider KYC and AML requirements, privacy, auditability and the ability to support both real-time and bulk matching.
Posidex provides an agile, high-throughput platform for customer entity resolution and matching that is completely agnostic to databases, hardware, operating systems, and applications. Powered by an in-memory processing engine, it delivers 99.5% match precision with minimal infrastructure requirements, resulting in a lower total cost of ownership (TCO) and higher return on investment. Additionally, Posidex offers rapid deployment that can be fully operational in as little as 3 months, compared to the 1-year traditional industry standard.



