Probabilistic Identity Resolution

Condor Probabilistic Identity Resolution runs natively in Snowflake to unify fragmented customer records across CRM, marketing, ecommerce, and transactional systems. It combines deterministic matching (exact identifiers such as email or customer ID) with AI-powered probabilistic matching to link incomplete or non-exact records with high accuracy.

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The app creates a unified customer identity graph and intelligent golden customer records, giving teams trusted, analytics-ready customer profiles for segmentation, measurement, and activation. Outputs are designed to support downstream analytics and operational use cases without requiring data movement or external identity infrastructure, while maintaining stable customer identifiers across incremental runs as source data changes.

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Because Condor runs directly inside your Snowflake environment, customer data stays in-platform for security, governance, and operational simplicity. Deployment is fast, and the app adapts to varied schemas while supporting enterprise-specific matching logic and model tuning. For advanced use cases or complex schemas, contact the Condor team to quickly tailor and tune matching models for your specific data and business rules, including complex identity strategies that rely on many identifiers and signals across systems.