Entity Resolution
That Actually Works
Stop fighting duplicate records. Canoniq matches, merges, and maintains golden records across your entire data estate — with rule-based scoring, ML, and trust-ranked survivorship.
The Problem
Your Data Is Lying to You
Every organization with people data has the same problem: duplicates, inconsistencies, and no clear picture of who's who.
Duplicate Records Everywhere
The same person shows up 5 times in your database with slight variations. Manual dedup can't keep up.
Data Silos
Member data lives in 10 different systems. No single source of truth. Every report tells a different story.
Compliance Risk
Bad data means bad decisions. Duplicates inflate counts, skew analytics, and create regulatory exposure.
Features
Everything You Need for Entity Resolution
A complete MDM toolkit — from ingestion to golden records — built for teams that care about data quality.
Rule-Based Matching
Configurable scoring rules for name, DOB, SSN, address, and more. Block keys reduce N-squared comparisons to fast, targeted candidate sets.
ML-Powered Scoring
Hybrid machine learning model that learns from your resolved matches. Continuously improves accuracy as your stewards review candidates.
Golden Records
Trust-ranked survivorship builds the best possible view of each entity. Highest-trust source wins per field — automatically.
Data Quality Engine
Built-in DQ rules catch issues at ingest. Completeness, format, and consistency checks run before data ever enters the pipeline.
AI Copilot
Optional AI-powered match explanations. GPT or Gemini reviews candidate pairs and explains why records should or shouldn't merge.
Real-Time Pipeline
Async ingestion with background workers. Ingest, normalize, block, score, and merge — all running continuously in the background.
How It Works
Six Stages. One Pipeline.
Every record flows through a deterministic pipeline that turns messy input into clean, resolved entities.
Ingest
Load records from any source — CSV, API, or direct insert. Each record gets a content hash for dedup at the gate.
Normalize
Names, addresses, phones, and emails are cleaned and standardized. Consistent data means better matches downstream.
Block
Block keys group potential matches into small candidate sets. No more comparing every record against every other record.
Score
Rule-based and ML scoring evaluate each candidate pair. Weighted attributes produce a confidence score from 0 to 100.
Merge
High-confidence matches auto-merge. Borderline cases go to the review queue for human stewards. Every merge is audited.
Golden Record
Trust-ranked survivorship selects the best value per field from all source records. One clean, canonical view of each entity.
Built Different
Serious Tech for Serious Data
Not another Python script. Canoniq is a production-grade system built with tools that handle real workloads.
Rust
Backend built entirely in Rust with Axum. Memory-safe, blazing fast, zero-cost abstractions.
PostgreSQL
Battle-tested relational DB with pg_trgm for fuzzy matching and btree_gist for range queries.
React + TypeScript
Modern frontend with Radix UI, TanStack Query, and Tailwind. Type-safe from top to bottom.
Async Pipeline
4 background workers run continuously — scanning, scheduling, session cleanup, and outbox processing.
Ready to Clean Up Your Data?
See how Canoniq can eliminate duplicates, unify your data, and give you a single source of truth — in a live demo tailored to your use case.