Wrangler Data's Drag-and-Drop Wedge Aims for the Corporate Finance Spreadsheet

Solo founder Martin Lo, a former corporate finance professional, is building a no-code data cleaner to replace Excel macros for accounting teams.

About Wrangler Data

Published

Martin Lo started Wrangler Data in January 2025. His LinkedIn headline reads "SaaS founder in the finance space | CS @ UPenn" [LinkedIn]. The company is a bet that his five-company career in corporate finance gave him the right frustration to build a product for it.

Wrangler Data is building a SaaS tool for finance and accounting professionals to clean and transform data without writing Excel macros or code [Perplexity Sonar Pro Brief]. The product is described as a drag-and-drop interface with visual audit trails [Perplexity Sonar Pro Brief]. The company's website indicates a product in development or private beta [Wrangler Data].

The Wedge and the Founder

The wedge targets finance professionals who spend hours manually cleaning data in spreadsheets. The tool's proposed differentiation rests on two points: a no-code, visual workflow and an embedded audit trail for data lineage. It is a utility for a specific, repeatable pain point inside finance and accounting departments.

Lo is the sole publicly identified founder. His background mixes technical training from the University of Pennsylvania with operational experience from roles at five different companies [Perplexity Sonar Pro Brief]. This gives the venture a founder-market-fit narrative from day one.

The Early-Stage Reality

Wrangler Data exists in the quietest phase of a startup's life. There is no public record of external funding, named investors, or customer logos. The product claims are aspirational, awaiting validation from early users.

The competitive landscape for data preparation is crowded. The company's bet is that a tool built by a finance professional for finance professionals can find a niche through superior user experience and domain-specific understanding. For now, the story is the founder and the premise. The next proof points will be whether he can convert his lived experience into a product that accounting teams will pay for, and who provides the capital to scale that effort.

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