One platform. Three sources of trust.

LakeFusion unifies entities, products, and relationships into a governed AI-ready data foundation, built natively on databricks. Master records. Govern product data. Traverse relationships. All without moving data out of your lakehouse.

CRM
ERP
Catalogs
Suppliers
Products
Transactions

One Enterprise Data Management Platform forMDM, PIM & Graph Intelligence

Stop handling entities, products and relationships through separate data stacks. LakeFusion pulls Master Data Management, Product Information Management and Graph Intelligence together on one governed Databricks-native foundation. It also supports Multidomain MDM, Data Stewardship, Data Quality and Relationship Intelligence as part of a complete Enterprise Data Intelligence Platform.

01
MDM
02
Graph
03
PIM
MDM
Trusted entities

LakeFusion Master Data Management uses AI-assisted Entity Resolution, survivorship and Data Stewardship to build governed Golden Records right in Databricks.  

AI-assisted match and merge
Golden records with lineage
Stewardship workflows
Unity catalog governance
Graph
Trusted networks

LakeFusion Graph Intelligence models hierarchies, ownership structures and multi-hop connections right in Databricks for richer Relationship Intelligence.  

Multi-hop relationship queries
No external graph database
No data copies or egress
Governed graph intelligence
PIM
Trusted products

LakeFusion Product Information Management standardises, enriches and governs SKUs, attributes and catalogs across channels directly inside Databricks.  

Catalog and taxonomy management
Attribute library
AI-assisted enrichment
Localization and marketing


Enterprise Data Management Platform
Built for Databricks


Architecture should build trust, not pile on more infrastructure. LakeFusion is an Enterprise Data Management Platform and Enterprise Data Management Software that is native to Databricks. It brings master data, product information and relationship intelligence into your enterprise data, which resides in the Databricks lakehouse, and provides Databricks Data Management Platform capabilities and Databricks-Native Data Management. 

You can resolve fragmented entities, create governed Golden Records, enrich complex product data and surface connected relationships without adding yet another disconnected data stack. With AI-assisted matching, Unity Catalog Governance and Databricks-native execution, this AI-Ready Enterprise Data Platform and Trusted Enterprise Data Platform turns scattered enterprise data into a trusted base for analytics, operations and AI at scale.

LakeFusion listed as an honourable mention

Recognizing Gartner’s master data management researchas an honourable mention, highlighting its approach to AI-driven entity resolution and data mastering.

Built for data-heavy industrieswhere trust matters.

LakeFusion helps enterprise teams create governed records and relationships across complex, regulated, and high-volume data environments

Manufacturing
Public sector

Financial services
Healthcare and life sciences
Retail and consumer goods

Trusted by global teams

Bio-Techne
HireRight
Puma

Trusted data foundations, proven in production.

Enterprise teams use LakeFusion to improve accuracy, reduce manual reconciliation, create governed data foundations for analytics, compliance, & AI.

How a global energy and manufacturing enterprise delivered a trusted customer 360 in 6 weeks using LakeFusion on Databricks

Unifying customer accounts to unlock enterprise visibility

Read case study
How a global professional services enterprise established a trusted company master using LakeFusion on Databricks

Building a trusted company master for precision and compliance

Read case study

Keep your trusted data where it already lives.

Legacy data platforms often depend on disconnected tools, duplicated pipelines, and separate infrastructure. LakeFusion runs close to your databricks environment, so governance, security, and lineage stay intact.

Legacy approach
Pipelines, copies, and a separate layer of trust.
Data copied into external tools
Separate governance layer
Rules and matching logic scattered across systems
Manual reconciliation
Delayed analytics and AI readiness
LakeFusion approach
One trust layer. Inside the lakehouse you already use.
Works with governed lakehouse data
Uses unity catalog controls
Creates trusted records and relationships in place
Reduces duplicate workflows
Supports analytics, operations, and AI from one foundation

Make enterprise AI depend on data your teams can trust.

Resolve

Clean, classify, and match fragmented records into golden entities, products, & relationships.

Govern

Apply role-based access, lineage, and Unity catalog controls across every trusted asset.

Operationalize

Send trusted data into analytics, BI, ML pipelines, applications, and AI workflows.

Solve Enterprise Data Problems Without Creating Another Data Silo

Enterprise data problems rarely sit alone. LakeFusion resolves fragmented identities, customer records and supplier masters directly on Databricks, creating Trusted Enterprise Data without adding another disconnected repository.

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Entity Resolution  

LakeFusion uses intelligent Entity Resolution, Entity Matching, Record Matching, Data Deduplication and Match and Merge to connect customer, supplier, company and other records across fragmented systems.  

Customer 360  

LakeFusion builds a governed Customer 360 by resolving fragmented identities through Customer Entity Resolution and Customer Data Unification into a trusted Customer Golden Record with lineage across enterprise sources.  

Supplier Master Data  

LakeFusion standardizes Supplier Master Data, supports Supplier Master Data Management and Supplier MDM, resolves supplier identities and creates governed Supplier Golden Record across ERP and procurement environments through Supplier Data Management.