Master data management, in place

Master your data where it already lives.

ResolveX builds one resolved record for every customer, supplier, product and location inside your own data platform. Your compute, your governance, no copies. First golden record in weeks, not 9 to 18 months.

Runs on your computeData never leavesDatabricks · Snowflake · AWS · Azure
Ingesting six source records
The problem

Every system knows your customer. None of them agree.

Customer, supplier and location data sits in systems that each keep their own version. Third-party data can be right about every entity and still wrong about the relationship.

01

Duplicates distort every number

The same customer counted four times inflates pipeline, splits exposure and hides the next sale.

02

Relationships stay invisible

Parents, subsidiaries and acquisitions live in different systems, so nobody sees the whole relationship.

03

Copies multiply the problem

Moving data into a separate hub to fix it creates one more copy to secure, sync and govern.

Data in place

Bring the engine to the data, not the data to the engine.

Most MDM platforms copy your records into a vendor hub, master them there and sync them back. ResolveX runs inside the platform you already govern, so there is nothing to copy, sync or secure twice.

Traditional MDM hub
Your environmentSources
Vendor cloudHub copy
  • Data leaves your environment
  • A second copy to secure, govern and pay for
  • The golden record lags behind the source
ResolveX
Your environment
SourcesApps, files, streams
EngineResolveX
ConsumersApps, BI, ML, agents
  • Runs on your compute
  • Your OIDC sign-on, permissions and catalog apply
  • Mastered records usable at once, with no separate copy
Runs natively onDatabricksSnowflakeAWSAzure
Product

Every match shows its evidence. Every decision stays yours.

Configurable rules, standardization and AI assistance work together. Clear matches merge automatically; stewards review only what needs judgment, and every decision is logged and reused.

resolvex.your-workspace.com/stewardship
Stewardship · Organization
Match review
24 pendingAuto-merged today 1,812
Queue
Halvorsen Marine Group
CRM ↔ ERP0.98
Brightwell Foods Inc.
ERP ↔ Billing0.87
Castillo & Reyes LLP
CRM ↔ 3P0.84
Okafor Logistics Ltd
Web ↔ CRM0.79
AttributeRecord A · CRMRecord B · ERPSignal
NameHalvorsen Marine Group, LLCHALVORSEN MARINE GRP0.96 variant
Address1401 Harbor Way, Portland ME1401 HARBOR WY STE 20.99 standardized
Tax ID••-•••4471••-•••4471Exact
Phone(207) 555-0142207.555.0142Exact
Domainhalvorsenmarine.comhalvorsenmarine.comExact

Rule match + AI assistRecommended: merge. Same tax ID, phone and domain. Address matches after standardization; the name differs only by abbreviation.

Confidence0.98
RejectNot sure Approve merge
Golden records · Organization
Halvorsen Marine Group, LLC
RX-004318646 sources
HM
Survivorship
Best value per attribute, with the rule that chose it
Mastered
AttributeSurviving valueSourceRule
Legal nameHalvorsen Marine Group, LLC3PTrusted source
Address1401 Harbor Way, Suite 2ERPMost complete
Phone(207) 555-0142CRMMost recent
Emailops@halvorsenmarine.comSUPValidated
ParentHalvorsen Holdings3PLinkage
SegmentMarine servicesREFCrosswalk

Lineage

  1. Golden record createdfrom CRM · rule set v14
  2. ERP record mergedsteward approved · 0.98
  3. Address standardizedreference data · postal
  4. DUNS linkedthird-party match and link
  5. PublishedREST · SQL · MCP · events
Sources6
Confidence0.98
DQ score96
Hierarchies · Corporate
Halvorsen Holdings family
Global ultimate5 entities
Halvorsen Holdings
Global ultimate
Halvorsen Marine Group
Subsidiary
Halvorsen Logistics
Subsidiary
Bluewater Fabrication
Acquired 2024
Portland Yard
Branch
Bluewater Gulf Site
Branch

Roll-up

  • Entities in family6
  • Source records linked31
  • Relationship typesowns · branch of
  • Historydated changes

Bluewater Fabrication was a separate account in two systems. Linking it to the family surfaced one more relationship to grow.

Illustrative data

Platform

Capability map.

Capabilities in
Core engine
Capabilities out
In · 01

Pre-built domain models

Party, organization, product, supplier and location ship ready, on an extensible core. No modelling project.

In · 02

AI-powered onboarding

The auto profiler proposes mappings and match rules for every new source. A steward approves.

In · 03

AI match and merge

Finds the relationships rules miss, with lineage on every decision.

MDM Engine

ResolveX

match · merge · survivorship · relationships · groups

  • API
  • MCP
  • Semantic layer
Out · 01

Built on data quality

Bad data is stopped before it is mastered. AI detects and fixes.

Out · 02

Governed reference data

Code lists, hierarchies and crosswalks across every source. Nothing extra to buy.

Out · 03

Agentic stewardship

The engine proposes, people approve. Full audit trail.

Why it goes live in weeks

First golden record in weeks, not 9 to 18 months.

01

Auto onboarding

The profiler reads every source end to end and recommends match keys, standardization and reference-data fixes. Quality issues are caught before load, not after.

Readiness: months to days
02

Data stays in place

Runs natively on Databricks, Snowflake, AWS or Azure. No copy in a vendor cloud; your sign-on, permissions and governance apply.

Zero data movement
03

Domain models ready

Party, organization, product, supplier and location models out of the box, with reference data and hierarchies included.

Configured, not coded
The path to a golden record
Step 01

Profile

The auto profiler reads every source: columns, keys, relationships and quality issues.

Step 02

Confirm

AI recommends match keys, standardization and fixes. A steward approves before anything is mastered.

Steward review gate
Step 03

Match and merge

Blocking, matching, merging and survivorship at scale, in batch and in real time.

Step 04

Serve

Golden records over REST, SQL, events, MCP and the semantic layer, to every app and agent.

It gets smarter every run. Steward decisions are logged and reused, so the review queue shrinks as the engine learns your data.
One record, every use

One golden record. Every system, report and agent reads it.

Mastered records are served in place, so operational systems, analytics and AI all work from the same resolved identity, with no extract to maintain.

  • Operational appsSub-second REST API and real-time lookup, plus change events.
  • Analytics and MLSQL, BI and the semantic layer on the same record. No separate copy.
  • AI agentsAn MCP server lets agents resolve and traverse entities as tools.
What the golden record powers
Customer 360One customer across products, channels and regions
Account 360Parents, subsidiaries and branches rolled up
Supplier 360True supplier, spend and risk by parent
Location 360Sites and addresses standardized and linked
Industries

One engine for any business with customers, suppliers and assets.

Domain packs add the entities, reference data and match rules each industry needs, on the same extensible core.

Domain pack · available now

One customer across every line, producer and claim.

A pre-built insurance model resolves parties across policy, claims, billing, agency and submission systems.

PartyPolicyClaimProducerLocation
  • Account view across lines and corporate families
  • Producer and agency hierarchies
  • Clean party data for claims, fraud and underwriting
Why ResolveX

Master data without the master data project.

01

Runs where your data lives

Native on Databricks, Snowflake, AWS and Azure. Your OIDC sign-on, permissions and governance apply.

02

Weeks to value, lower TCO

First golden record in weeks, not 9 to 18 months. Consumption pricing on compute you already own.

03

Explainable and audit ready

Every match carries its evidence, so decisions stand up to auditors and regulators.

04

One record, every use

Operational systems, BI, ML and agents read the same golden record, with no separate copy.

05

Configured, not coded

Match rules, survivorship and data models are configuration. A new entity type is a handful of changes.

06

Partnership, not vendorship

Direct access to the team that builds it, with your priorities on the roadmap.

Get started

Start with a two-week fit assessment.

We run the profiler on your sources, inside your environment, and return what it takes to master them.

  • Expected match rates on your own data
  • Data-quality findings by source
  • Effort and timeline to first golden record

Or write to us: resolvex@elevatenow.tech

Talk to the ResolveX team

Tell us a little about your data and what you want to master.

We will reply to your work email directly.

Thank you. We will be in touch shortly.