Atlas is purpose-built to create global, persistent, household identity keys from postal addresses, enabling high-accuracy data matching to support AI and analytics. It is not a legacy mail house or address cleansing tool.
WINR Atlas™
Powered by Snowflake – Address-Based Matching for Smarter AI
WINR Atlas transforms unstructured, global postal addresses into persistent identity keys using postal data validation and standardisation. Through address data normalisation, combined with accurate address validation and verification, Atlas provides a trusted foundation for matching, deduplication, and graph-style entity resolution. Built as a Snowflake Native App, it delivers secure, scalable identity infrastructure for AI, KYC, fraud prevention, data enrichment and data collaboration.
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Key Features
Built for AI-Driven Identity Matching
Graph-Based Entity Resolution
Atlas generates graph-style edges between entities, allowing AI systems to traverse relationships across fragmented data and external sources with greater accuracy.
Deployed Natively in Snowflake
Atlas runs entirely within the customer’s Snowflake instance, ensuring zero data movement, maximum security, and compliance with local data governance and residency requirements.
One Global Application
Atlas delivers consistent performance and identity resolution across regions from a single Snowflake native application supporting global use cases without the complexity of multiple systems.
Seamless Integration & Collaboration
Atlas connects directly to existing Snowflake tables and leverages Snowflake’s secure data sharing to enable scalable, privacy-safe collaboration with second- and third-party data.
How it Works
WINR Atlas is a Snowflake Native App that resolves fragmented address data into persistent identity keys and graph-style relationships for accurate matching and AI-ready insights. Built entirely in Snowflake, Atlas runs without data movement, integrates directly with existing tables, and delivers scalable, privacy-safe identity infrastructure for faster, more connected decision-making.
- Fully native to Snowflake: Fragmented and unstructured postal addresses are processed directly from existing Snowflake tables, no need to move data outside the environment.
- Key Generation: WINR Atlas generates persistent street, household, and premise keys from your postal addresses to support high-precision identity resolution.
- Graph-Based Matching: WINR Atlas creates graph-style edges between entities, enabling AI systems to traverse relationships across datasets for accurate deduplication and enrichment.
- In-Platform Integration: WINR Atlas integrates directly with your workflows supporting scalable, privacy-safe collaboration without data movement.
Use Cases
- Data Scientist / AI Lead:
Challenge:AI models rely on clean, connected data, but customer data is fragmented across systems, often with inconsistent or free-text postal addresses leading to poor match rates and limited reasoning across entities.
Use Case:WINR Atlas transforms free-form address data into persistent identity keys and graph-style connections, allowing AI systems to traverse relationships and reason accurately across internal silos and partner datasets.
Results:
•Higher model accuracy through entity resolution.
•Reduced engineering effort delivers faster model deployment (less manual data prep).
•Privacy-safe cross-domain intelligence without data movement.
- Compliance / Risk Officer (KYC, Fraud, AML):
Challenge:Regulatory processes like KYC, fraud screening, and AML require accurate entity resolution, yet duplicate or misaligned address data often results in false positives or compliance failures. WINR Atlas is widely used in financial services, banking, insurance, and fintech environments to support address verification during account onboarding, payment processing, and compliance checks. By normalising and matching address data, Atlas assists in fraud prevention and AML processes, ensuring greater accuracy and compliance in high-volume financial transactions.
Use Case:WINR Atlas resolves identities at the household and premise level using persistent keys and standardised addresses, supporting identity verification and risk scoring workflows.
Results:
•Improved KYC match rates.
•Reduced compliance risk.
•Lower false positive investigations.
- Marketing / Customer Data Platform (CDP) Manager:
Challenge:Marketing teams struggle to unify customer records across channels and enrich them with third-party data due to inconsistent identifiers and poor address data quality.
Use Case:WINR WINR Atlas enables precise householding and deduplication by creating universal address-based keys unlocking privacy-safe enrichment and activation across Snowflake-linked CDPs.
Results:
•More accurate customer profiles.
•Higher match rates for data onboarding and enrichment.
•Greater ROI on data collaboration initiatives.
Ready to deploy WINR Atlas directly from the Snowflake Marketplace?
WINR Atlas™ is made available to approved clients as a downloadable Snowflake Native App for secure deployment within their own data environment. Clients can implement WINR Atlas™ for the standardisation, parsing, and normalisation of physical and mailing addresses, as well as the creation of persistent delivery point identifiers for matching and grouping purposes. The software is used across financial services, banking, insurance, ecommerce, and AML compliance environments to enhance data accuracy and reliability in address processing and verification workflows.
WINR Atlas™ is also accessible through a secure AWS API for real-time transactional processing. This allows clients to connect directly to Atlas over the web and perform high-volume address standardisation, parsing, and matching within their own applications or data pipelines. The API provides the same functionality as the downloadable Snowflake Native App, enabling seamless integration into financial, compliance, and data-processing environments.
