Flow Bridge

Inspiration FlowBridge was inspired by a common frustration in financial analysis: cash flow statements are rarely consistent. Across companies, industries, and especially different regions of the world, similar financial items are labeled and structured differently. When working across US GAAP and IFRS, even small classification differences can slow down analysis and introduce errors. I wanted to build a tool that reduces this friction and makes financial statements easier to work with. What I Learned Through building FlowBridge, I developed a deeper understanding of how cash flow statements are constructed and how GAAP and IFRS differ in classification and presentation. I also learned how to handle messy, real-world financial data including: inconsistent labels, missing items, and structural ambiguity and how to design systems that balance automation with human judgment. How I Built It FlowBridge is built as a web-based tool that takes financial statement inputs, parses the data, and maps line items into a standardized cash flow format. It uses AI to interpret and classify financial data, identify key components, and organize them into operating, investing, and financing activities. The system also flags ambiguous or unclear items, allowing users to review and adjust where necessary, rather than relying on a black-box output. Challenges I Faced One of the biggest challenges was dealing with inconsistency in real financial data. Companies use different naming conventions and structures, making it difficult to reliably map items without losing accuracy. Another challenge was ensuring the tool remains transparent, not just giving an output, but showing where assumptions or judgments are made. Balancing automation with accuracy and explainability was a key focus throughout development.

Built With

• claude
• gemini