An Agent On The Wrong Customer Is Worse Than No Agent At All
Zingg is open source, warehouse native MDM. It resolves customers, households, suppliers and products inside your data platform, so every agent and every team acts on the same persistent ZINGG ID.
Powering the world’s best companies.
Fortnum & MasonRedica SystemsOrthodox UnionDMG EventsCanadian Football LeagueOne Identity Layer For Humans And Agents
Same Agent, Whole Customer
Every agent looks up the ZINGG ID before it answers or acts, so it sees all of Sam's store and online spend.
- Identity RAG
- Agent lookups
- Explainable matches
→ ZINGG_ID 4b7e… · 3 records · $6,200 lifetime
Customer Analytics & Marketing
Know every customer once. Unify profiles across web, store, app, CRM and support so analytics, segmentation and campaigns run on real people, not duplicate rows.
For agents. Agents look up the resolved customer before they reply.
Customer 360
A single, continuously updated view of each customer across every channel and system.
Learn moreHouseholding & Relationships
Group people into households and link related individuals for lifetime value and targeting.
See the storyComposable CDP
Build the identity graph for a warehouse-native CDP, with no data copied out to a SaaS tool.
Learn moreMarketing Dedup & Personalization
Stop sending duplicate postal mail, catalogs, coupons and emails, and personalize from complete profiles.
B2B Accounts & Contacts
Deduplicate accounts and contacts across CRM, billing and product data for clean pipeline and RevOps reporting.
Financial Crime & Risk
Bad actors hide in fragmented data. Connect accounts, people and companies across systems to expose rings, networks and hidden relationships.
For agents. Agents follow resolved links, not name guesses.
Fraud Ring Detection
Link synthetic and duplicate identities that share devices, addresses and contact details.
Learn moreAnti-Money Laundering
One identity layer across every AML vector, so transaction monitoring sees the full network.
Learn moreKYC & Perpetual KYC
A customer profile that follows the customer over time, not just the onboarding moment.
Learn moreSanctions & Watchlist Screening
Match against lists with nicknames, transliterations and abbreviations, with fewer false positives.
Claims Fraud
Connect claimants, providers and policies to surface repeat and organized claims.
Privacy & Compliance
You can only honor a person's rights if you can find every record about them. Resolve identities first, then answer requests and regulators with confidence.
For agents. Agents find every record about a person in one lookup.
GDPR Data Subject Requests
Find every record for a person across systems for access, rectification and erasure.
Learn moreCCPA Compliance
Honor California consumer requests across fragmented customer data.
Learn moreConsent & Retention
Apply consent and retention policies to the person, not to scattered rows.
Regulatory Reporting
Report on resolved entities so filings and audits reconcile to one version of the truth.
See the storySupply Chain & Procurement
The same supplier shows up under a dozen names across ERPs, spreadsheets and invoices. Resolve them to see real spend, real risk and real dependencies.
For agents. Agents confirm the supplier before they pay.
Supplier 360
Unify supplier records across applications and channels into one trusted view.
Learn moreSpend Analytics & Consolidation
Roll up spend to the real supplier and parent company to negotiate and consolidate.
Supplier Risk & ESG
Connect suppliers to risk, sanctions and sustainability data that uses different names.
Company Name Matching
Match on abbreviations, legal suffixes and subsidiaries with built-in dictionaries.
Learn moreLocation Mastering
Standardize and resolve sites, warehouses and addresses for logistics and planning.
Product 360
Catalogs drift. Titles, attributes and identifiers differ across suppliers, channels and marketplaces. Resolve products to one record you can price, merchandise and report on.
For agents. Agents answer about the right product, not a lookalike.
Product 360
Unify product data across catalogs and channels into golden product records.
Learn moreCatalog Deduplication
Find duplicate SKUs and listings with different titles, units and attributes.
Marketplace & Competitor Matching
Match your products to retailer, marketplace and competitor listings for price intelligence.
Learn moreBrand & Manufacturer Matching
Resolve brands and manufacturers behind products for sustainability and sourcing insight.
See the storyMaster Data Management
Warehouse-native, multi-domain MDM in batch today, with streaming coming soon. Golden records live in your own tables, so every team and tool reads the same trusted entities.
For agents. Agents read the same golden records as every team.
Multi-Domain Golden Records
Customers, suppliers, products and locations, mastered in one platform.
Learn moreCRM & ERP Unification
Reconcile core business systems so operational data stays consistent.
Legacy MDM Modernization
Replace heavyweight MDM suites with open, warehouse-native identity resolution.
M&A & Migration Consolidation
Merge customer and vendor bases from acquisitions and system migrations.
AI & Data Foundations
LLMs, agents, graphs and dashboards are only as good as the entities underneath them. Give them resolved, explainable identities to reason over.
For agents. Every agent shares one identity layer.
Identity RAG
Retrieve everything known about the right entity, not similar-sounding strangers.
Knowledge Graph
Resolved nodes in, trustworthy graph out, with relationships across people and companies.
Learn moreSemantic Layer
Define metrics on one resolved entity so every count means the same thing.
Learn moreData Quality For BI
Accurate counts, segments and dashboards without double-counted customers.
Trusted By Data Leaders Globally To Build Golden Records
“For the first time, we’re able to understand how customers are shopping with us — online, in-store, over the phone, or in restaurants. Zingg has helped us unify this data and gain insights we never had before.”
“Compared to the previous approach, it’s obviously much better — probably more than 90% better.”
“We moved from using Zingg Open Source to the Enterprise version on Snowflake, making it the engine powering our golden records. Zingg’s powerful features and clean results have really set us apart.”
“We have never had this level of control before. With Zingg, everything is in-house. Even if something goes wrong externally, we would not be stuck. That gives us enormous confidence.”
“Zingg provides a sophisticated solution for fuzzy matching that is crucial in industries like sports, where dirty data is common. This has been a huge win for us.”
Right Inside Your Data Stack
Zingg runs as a native workload on your data platform. Your data stays in your account, under your security and governance.
Your Sources
- Web and mobile events
- CRM and ERP
- Application databases
- SaaS tools
- Third-party and advertising data
Your Data Warehouse / Lakehouse
Batch & incremental
Your Applications
- Reporting and BI
- CRM and marketing automation
- KYC and AML systems
- RAG, chatbots and AI agents
- Reverse ETL to operations
your labels
- [email protected]
- Address
- 1513 Menlo Drive, California
- Employer
- Oracle Corporation
Zingg learns what to match from 40–50 pairs you label on your own data. See how Zingg matches
Start Open. Scale To Enterprise.
Same engine, same data model. Move from Community to Enterprise without rewriting a pipeline.
For builders
Open source entity resolution you can run, inspect and extend. Backed by an active community on GitHub and Slack.
- Any entity with your choice of attributes
- Scale to millions of records
- Batch architecture
- Probabilistic AI matching trained on your own labels
- Stopwords
- Runs on Spark: Databricks, Fabric, AWS, GCP
- Connects to cloud warehouses: Snowflake, Redshift, BigQuery
- Open source support and bug fixes, with the community on Slack
- ID
- Globally unique and non-persistent Z_CLUSTER
For production entity resolution and MDM
Everything you need to keep golden records continuously updated as your data changes, with enterprise-grade support.
- Everything in Community, plus
- Architecture
- Batch resolution
- Real-time resolution*
- Streaming*
- Incremental runs against previously matched data
- Native Snowflake run
- ID
- Globally unique and persistent ZINGG_ID
- Cross-reference throughout the enterprise
- Reassign with new models, updated schemas and full refreshes
- Matching
- Probabilistic and deterministic matching in a single flow
- Superior matching with nicknames and pluggable dictionaries
- Standardize and match, and standardize fields in results
- Pass through fields
- Stronger models for accuracy and performance
- Insight and control
- Explainability and match statistics
- Compare model results and verify blocking
- Knowledge graph
- Production MDM
- Data stewardship*
- Golden records*
- Support
- Enterprise-grade support and bug fixes
* Coming soon.
Built In The Open, With Data Teams
Ask questions, share models and shape the roadmap with practitioners solving entity resolution every day.
Join SlackBuild Golden Records Where Your Data Lives
Start with open source today, or talk to us about running Zingg Enterprise on your platform.