DupeZeroOpen the app

Independent records. A connected world.

Entity resolutionyou can defend.

Your sources. Your rules.
Records you can trust.

Resolve. Review. Reconcile.
Every connection has a reason.

Explore the flow See how audit works

02 / Ingress

Start with your systems.

Choose the sources. Follow their records down the trail.

Sources for Commerce
Source records4 sources. One way in.

Original values and source IDs stay attached.

1 thousand10 million
Next / Give the records a dataset

03 / Dataset

Your organization.
Many independent datasets.

Each dataset has its own sources, matching rules, and results.

Your organizationDupeZero

Google Sheets · Salesforce · S3 files · ShopifySources assigned to Commerce

A source can feed more than one dataset. Each dataset keeps its own configuration.

Next / Turn those records into entities

04 / Dedupe · Commerce

Every step has a reason.

Follow a record from the way it arrived to the entity it belongs to.

  1. 01
    Standardize

    Make formats consistent. Preserve the original.

    ABC-042abc-042
  2. 02
    Match

    Compare the evidence. Find a candidate group.

    Records A + BCandidate match
  3. 03
    Review

    Apply your policy. Inspect the close calls.

    Evidence + policyDecision recorded
  4. 04
    Reconcile

    Build the entity. Retain the source history.

    Approved groupEntity E-1042
Next / Put the results to work

05 / Egress

Back to the systems
that need the answer.

A resolved entity, its source records, and the evidence behind it.

Commerce / Golden recordMeridian Supply

E-1042 · Source history preserved

WarehouseBring it into your analysis
APIs & filesKeep your workflows moving
ZoomInfoProposed integration

Illustrative connections. ZoomInfo read and write paths require a scoped custom integration. External writes are tracked separately from resolution.

And if a match is wrong? / Follow an audit

06 / Keep the last word

A mistaken match
doesn’t have to stay one.

Follow a correction from new evidence to separate entities.
The history stays with them.

An illustrative audit

A match worth a second look.

The example records a never-match assertion, then reconciles. A correction changes the grouping; it does not retrain the matching model.

Next / Make it your workload

07 / A workload that looks like yours

Start with your data.
See what flows.

Choose your sources. Set the volume. Explore the shape of a run.

100,000records per run
4selected sources
Commercewithin your organization
Configure the usage example

Contact + account identity

Sources for Commerce

* ZoomInfo is a proposed custom integration.

1 thousand10 million

Configuration is held while the audit plays.

Your example workload

4 sourcesOne selected total
CommerceResolve · review · reconcile
100,000records per run
Your source choices feed the same dataset. The total stays yours to set.

Pricing follows the work.

Our pricing direction is per-run compute. Record volume, configuration, and the work a run performs shape that discussion. This is a usage illustration; rates and a price estimate are not yet published.

Adding a source redistributes the selected total. Animation density is illustrative, not a throughput or capacity benchmark.

Read the usage details →
Next / A few things worth knowing

08 / Built to be explained

A record you can trace.
A decision you can check.

Keep the source behind every surviving value. Inspect the comparisons behind a match. Change a decision without losing its history.

Your data does not have to fit an industry template.

Is DupeZero built for a particular industry?

No. We configure resolution around your records and rules, whether you work with people, organizations, products, assets, or another kind of entity.

What if our source is not a standard integration?

We build the connection with you. That includes custom APIs, internal databases, file feeds, and business applications. The integration is scoped around your system’s access methods and data model.

Where can the resolved data go?

Into the systems that need it: a warehouse, a business application, an API, or a file-based workflow. We implement the write path, field mapping, and output format for your destination.

Does a person need to approve every match?

No. You configure thresholds and review policy. Matches can be resolved automatically, while cases that need attention can be inspected with their evidence.

What if a match is wrong?

Record that two records are, or are not, the same entity. These assertions guide reconciliation and remain separate from the trained model, so a correction is not simply forgotten during retraining.

Is the example on this page using live data?

No. These are interactive illustrations using fictional records. Try different datasets, inspect a flowing record, or follow a decision through an audit; connecting your own data happens in a configured DupeZero environment.

Your sources. Your rules. Your destinations.

Start with the records you need to trust. Bring the systems you already use.

Open the appRead the developer docs →