Case Study: FinQore cuts financial reporting pipelines from 8 hours to 8 minutes with MotherDuck

How Finqore Transformed 8-Hour Financial Data Pipelines into 8-Minute Automated Workflows

FinQore, a company that provides AI-ready financial data for CFOs, faced a significant challenge with its lengthy and manual data pipelines. Their customers were struggling to reconcile financial information from multiple sources in spreadsheets, a process that was taking up to eight hours and was especially difficult for businesses with complex revenue models.

FinQore implemented a solution using MotherDuck and DuckDB to automate their data orchestration. This created a single, reliable source of daily-updated financial data. The measurable impact was a dramatic reduction in pipeline processing time, from eight hours down to just eight minutes. MotherDuck's performance also enabled FinQore to build a responsive metrics explorer and launch AI agents powered by real-time data retrieval.

FinQore

Jim O'Neill

Co-founder and CTO