Now in early access

Resolve customer identity in hours, not months

Condor Graph trains a custom AI model on your data — inside your warehouse — and delivers a probabilistic identity graph with privacy-first architecture.

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Works with your stack

Snowflake
BigQuery
Databricks
DuckDB
Microsoft Fabric
OpenAI
Anthropic
Google Gemini
Snowflake Cortex

// HOW IT WORKS

From raw data to unified identity

Four stages. One pipeline. No manual rules.

01 Connect Point Condor Graph at your existing warehouse tables. No extraction, no copying — it runs where your data already lives. 02 Learn Choose an AI provider and Condor Graph trains a custom resolution model on your actual data. No rule-writing required. 03 Resolve The model scores and links records across every identifier — email, phone, device IDs, behavior — into a probabilistic identity graph. 04 Evolve Incremental updates keep the graph current as new data arrives. Track how identity clusters merge, split, and change over time.

// CAPABILITIES

Built different from the start

Warehouse-native

Runs inside Snowflake, BigQuery, Databricks, or DuckDB. Your data never leaves your infrastructure — no ETL, no copies, no new security surface.

AI-powered resolution

A custom model trained on your data replaces months of manual rule-writing. Deterministic and probabilistic matching, fully automated.

Bring your own AI

Choose from OpenAI, Anthropic, Gemini, Snowflake Cortex, or your own internal models. No vendor lock-in on the intelligence layer.

Living identity graph

Incremental updates and cluster evolution tracking mean the graph stays current without full reprocessing. Identity changes over time — the graph should too.

// PERFORMANCE

Identity resolution that delivers

68.7%

Reduction in missed matches vs. traditional methods

Based on a synthetic 10-million-customer benchmark.

See Condor Graph in action

Schedule a 30-minute demo and see how your data becomes a unified identity graph.

Schedule a Demo