Accelerate your product vision.

LakeFusion PIM brings product data management closer to the governed data foundation your enterprise already relies on. Built for Databricks, it helps teams organize, enrich, and govern product data in a way that supports business operations, analytics, and AI.

Native to Databricks

LakeFusion PIM is positioned to work within the data environment your team already trusts, reducing the need for disconnected product data workflows and duplicate infrastructure.

AI-centered product data management

Use AI-assisted match-merge pipelines to onboard, standardize, govern, and enrich product data more efficiently across enterprise workflows.

Designed for business teams too

Configurable role-based access, business-friendly interfaces, and practical modeling tools help business teams work with product data more confidently and consistently.

Use cases for product data team managing scale and complexity

Managing complex product catalogs

Bringing large, multi-category catalogs into a more governed structure so product data remains easier to manage, review, and operationalize.

Accelerating time-to-market

Unifying product, supplier, and category data into one governed source so new SKUs move from draft to launch without stalling in spreadsheets, approvals, or duplicate entry.

Enabling omnichannel commerce

Harmonizing product records across retailer portals, marketplaces, D2C sites, and in-store systems so every channel pulls from the same trusted golden record.

Supporting localization

Mastering product data across regions, languages, and regulatory requirements so local teams can adapt content and compliance without forking the source of truth.

Improving data quality

Resolving duplicates, fixing inconsistencies, and enriching attributes with AI-powered match and merge so every product carries one golden record, governed through Unity Catalog.

Put AI to work for you

Translate content with one click

Use LLM-assisted workflows to translate titles, descriptions, attributes, and supporting product content more efficiently for regional teams and localized commerce experiences.

Automatically generate marketing copy

Generate product descriptions, marketing-ready summaries, and channel-specific copy automatically so teams can move faster from product data to publishable content.

Empower your data governance with AI

Apply AI to matching, standardization, enrichment, classification, and content workflows while keeping product data closer to a governed enterprise foundation.

Legacy tools are slowing
your business down

Fighting data chaos with legacy MDM tools

Matching breaks, rules fail, projects drag for months

Wrong merges and conflicting records everywhere

No trust in the data across teams

Expensive to scale and hard to govern

Not built for the Lakehouse or AI workloads

Powering informed decisions with LakeFusion

Governed automatically through Unity Catalog

One Golden Record with full lineage

Faster to deploy, easier to maintain

AI powered match and merge

Runs natively on Databricks

A PIM experience designed to support business teams.

For a PIM implementation to succeed, everyone involved in product management from merchandising teams to governance stakeholders needs to be able to work easily in the same tool

Book a demo

Configurable role-based access

Give each audience a customized view of the data, letting them focus on what's important to them without distractions

Seamless integrations

Our interfaces are designed to work for you, with all the elements laid out in a way that supports ongoing business operations

Built natively for Databricks

Our architecture was specifically designed to make it straightforward for business users to lay out your data model, manage your hierarchies, and review your catalog

Working surfaces inside LakeFusion PIM.

Dashboard
Dashboard

See daily priorities, recent activity, open actions, and category health from a single operational home screen.

Live catalog
Live catalog

Review products in flow, assign taxonomy, manage status, and keep the active catalog visible to the teams managing it.

Attribute library
Attribute library

Maintain the underlying attribute model so governance and catalog operations remain connected through shared definitions.

Product detail
Product detail

Edit and review product records with structured fields, completion status, and category-specific controls in one place.

Built for enterprise teams managing product data at scale.

This page is now better aligned to the enterprise teams most likely to care about the product story shown in the video.

Catalog operations

Teams responsible for onboarding, classifying, enriching, and maintaining product records across categories and channels.

Merchandising & commerce ops

Operators who need a live catalog, faster SKU readiness, stronger taxonomy alignment, and more reliable product data.

Product data governance

Owners of controlled attributes, role-based access, auditability, and the business logic that keeps product data trustworthy.

Databricks-first data teams

Organizations that want product data management close to their governed data foundation, without introducing migration-heavy side systems.