LakeFusion Raises $7.5M in Seed Funding Led by Silverton Partners

The company plans to use the funds to accelerate product development and expand sales to more enterprise customers.

The platform uses AI to match and clean duplicate data at scale. It lets organizations create accurate master records, apply data rules, and keep information updated across systems in real time—all without moving data from their existing setup.

Even with heavy investment in AI, and modern data systems, many companies still struggle with scattered master data across CRM, ERP and other systems, leading to duplicate records, poor data structure, and unreliable results that slow down reporting and AI performance, and LakeFusion addresses this by offering AI powered master data management directly within the Databricks platform, eliminating the need to move data or use separate MDM tools.

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Mike Dodd, General Partner at Silverton Partners, noted that, “As enterprise AI moves into production, the bottleneck is no longer model capability - it’s data fidelity. LakeFusion is redefining a decades-old category by turning fragmented, inconsistent data into a single source of truth for AI, built directly where enterprise data already lives and delivered in weeks, not months.”

Carbide Ventures, the Palo Alto-based early-stage venture firm focused on enterprise and B2B software, also participated in the round. “Most companies want to leverage AI, but their data is scattered across silos. LakeFusion provides the essential layer that allows companies to make their data ready for AI”, the General Partner at Carbide Ventures, Pankaj Tibrewal, added.

"Enterprises don't have a data volume problem. They have a data trust problem," said Vikas Punna, CEO and Founder of LakeFusion. "We built LakeFusion to operate natively within Databricks so organizations can unify and govern their data without moving it. This funding allows us to accelerate that vision and help more companies build AI-ready data foundations."

About LakeFusion

Founded in 2024, by Vikas Punna, LakeFusion is an AI-powered master data management platform built for the Databricks lakehouse that helps organizations unify, manage and use their data in one place, eliminating duplication and bringing governance directly to where the data resides, while using LLMs to provide clear entity matching, automated data management and reliable master records at scale.

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