Say 'goodbye' to 'stare and compare' manual spreading of management accounts, tax returns, balance sheets, or P&Ls. Upload them to Heron via our portal, email, API and receive normalised, clean, and structured output piped directly to where you need it.
Top comment
👋 Hi Hunters, Jamie here from Heron Data. We partner with 100+ Banks, Fintechs, and other Business Lenders to automate mindless repetitive processes like parsing bank statements & application forms into your CRM. Financial statements are essential to most banks underwriting process but a massive pain to parse or 'spread'. Tax returns, balance sheets, and P&Ls provide unique insight into a company's financial health - they are the source for calculating datapoints like inventory turnover, quick ratio, and debt:assets, components of most credit models. Our customers can often reach a speedy lending decision once they have the datapoints they need from financials. However, unless they can hook into a customer's accounting platform directly with a tool like Codat or Rutter the only way to calculate (or 'spread') these ratios reliably from financials in PDF or Excel is by hand. Spreading financials for each company takes them 20-90 minutes... and it's really boring. Until now that is - say hello to AutoSpread! 🤖 Use ML, not human endurance to spread financials. Send what you have to Heron in the format you have it and get it back ready for your credit models or human judgement to analyse 🔌 Heron can ingest docs via email, API, or portal. We'll classify docs, parse or spread them, and push the results into wherever you want them e.g. CRMs like SalesForce, your own propriety software, or an email inbox as an Excel attachment 🗣️ Our software works with financials in most languages - never google translate Dutch line items again 💯 Output quality is our problem, not yours. We stand by our results and will review the docs we can't validate to be correct so you can spend your time on better things OK, but why does all this matter? A high degree of manual intervention makes underwriting a small commercial loan expensive and reduces access to credit, especially for smaller (<$250,000) loans according to research from FinRegLab. This means less access to affordable credit for small businesses, less growth, and more SMBs going under. What's more, humans are amazing at complex processes that require thought and judgement - like making an underwriting decision after reviewing all the data. We are terrible at copy and pasting numbers from a PDF into an Excel all day. Focus on the former, let us automate the latter and make financial services better for businesses :).
Comment highlights
Loving the automated data extraction and verification! No more manual work to ensure accuracy this tool handles everything. It's fantastic to have a solution that speeds up the process while maintaining data integrity.
Thanks for developing a tool that simplifies financial document management. The automation and structured output are much appreciated!
This tool seems like a great solution for anyone looking to simplify the management of financial documents. The ability to automate data handling and integration is a major advantage.
The ability to categorize and calculate financial ratios automatically is going to make our underwriting process so much smoother. Great to see such a powerful tool for SMB and mid market lenders
The integration with various file types and quick processing speed are impressive features being able to instantly parse and structure financial statements from any format will save our team so much time.
I see this tool really useful for managing financial data. Can it integrate with other financial software we’re currently using?
The ability to ingest files from multiple sources, including email and API, is super convenient. Plus, the structured output in formats like CSV and JSON makes it even easier to integrate into our existing systems.
I love the idea of automating the processing of financial documents. How does the system handle different file formats and ensure everything is accurately normalized?
Speeding up financial data processing is a plus. Curious about data accuracy and performance with large volumes.
I’m interested in trying this out. How customizable is the output format for different types of financial documents?
Converting financial statements into structured in under 2 minutes is a huge time saving. This is definitely going to streamline our workflow and reduce the manual hours spent on data manipulation.
I like how quickly this tool processes financial statements under 2 minutes is impressive!
A friend of mine who deals with financial data daily was looking for a tool to simplify data processing
Great launch! It’s refreshing to see a tool that makes financial handling more efficient
I love the concept behind Heron Data. transforming complex and mundane tasks into something automated is not innovative but incredible practical
I can see this being really useful for reducing errors and speeding up the workflow. Anything that cuts down on manual tasks is a win.
I really like how this simplifies the process of handling financial data. No more manual entry sounds like a dream.
I’m all for anything that makes working with management accounts and balance sheets easier. This looks super efficient.