Scalable identity resolution, entity resolution, data mastering and deduplication using ML

Connect to your customer data using any LLM and gain actionable insights. IdentityRAG creates a single comprehensive customer 360 view (golden record) by unifying, consolidating, disambiguating and deduplicating data across multiple sources through identity resolution.

Entity resolution for Elasticsearch.

WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and result evaluation.

List of entity resolution software and resources.

Curated list of awesome software and resources for Senzing, The First Real-Time AI for Entity Resolution.

A free, open source tool to lookup user identities by email address

Document Enrichment plugin for Elasticsearch

E-mail to digital footprint | Validate the existence of email address on various online platforms [Instagram, wattpad, duolingo etc.] | Extract rich metadata like Google maps contributions, reviews etc. from target email

Time series knowledge graphs for cybersecurity

This repository provides the building blocks for integrating LangChain, LangGraph, and the Tilores entity resolution system.

Identity resolution as code - declarative engine for matching, merging, and mastering entity data

people search and tracing API

Examples for trying out the harpin AI identity resolution and data quality toolkit

Identity resolution for AI applications

Deterministic identity-resolution engine in TypeScript: Zod-validated handlers, mocked deps, and a CLI that mirrors the future HTTP API.

⛳️ PASS: Salesforce Certified Data Cloud Consultant by learning based on our Questions & Answers (Q&A) Practice Tests Exams.

🧠 Build a RAG-driven chatbot to answer user questions using real-world knowledge from documents, focused on mental health and social policy in Indonesia.

Open-source Customer Data Platform — self-hosted on AWS

A standardized email and phone number normalization and hashing utility that follows UID2 specifications for email address and phone number processing. This tool ensures consistent normalization and hash generation for identity resolution and data matching purposes.

Defined test cases, enriched data, and end-to-end machine learning for identity resolution fraud detection

A backend service for intelligent identity reconciliation using email and phone numbers. Built with Node.js, Express, Prisma, and MySQL — designed to deduplicate user records and return consolidated contact information. 🚀

10-paper marketing science framework with 11 live dashboards. Bayesian MMM, causal inference, probabilistic identity resolution, and real-time streaming attribution. All papers published with Zenodo DOIs.

Real-time probabilistic identity resolution engine for streaming platforms. Resolves multi-user attribution with 78% accuracy at <100ms latency. GDPR/CCPA compliant.

No description provided.

Distributed identity resolution engine with retroactive data stitching.

🤖 Build a RAG chatbot with GPT-4o and SERP data in Python to deliver accurate, context-rich AI responses for enhanced user interaction.

No description provided.