If your team uses databricks, LakeFusion fits right in, running on governed lakehouse data with your security model. Three reasons it is worth 20 minutes.
No data movement. No bolt-on tools. Runs against unity catalog tables with your existing governance and access controls.
A blend of LLMs and vector search to unify, classify, and clean records — fast, accurate, and without time-consuming rule creation.
Validation, trust scoring, and lineage built in. The data feeding your AI workloads is actually fit for purpose — and you can prove it.
CDOs, vps of data, heads of platform.
Teams replacing manual stewardship and legacy MDM workflows.
Teams that need trusted, governed inputs for models and analytics.
Architects building around lakehouse, unity catalog, and governed data products.
PIM, taxonomy, and channel teams managing product data at scale.
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