finbar
AI-powered financial data & analysis
Robin Gan, Founder
Edward Huang, Founder
Hi! We’re Ed and Robin, the founders of finbar.
Our summary: too many analysts across finance still rely on manually collecting and compiling data for their models - we’re here to completely automate that process.
Several multi-billion AUM hedge funds already use us for exactly that - but if you work with financial data in any capacity, we want to help!
finbar
- Automatically extracts and compiles data from thousands of companies globally, public and private
- Gives analysts tools to easily explore and reshape data for their own use cases
- Provides powerful automation to update models with new data in seconds
If you’ve ever spent hours copying data from a bunch of PDFs into a spreadsheet, you understand the core problem we solve!
Why can we do this better than others? Financial data is inherently very messy – we’ve spent more than a year building a highly bespoke pipeline geared for financial data: numeric algorithms, text processing, OCR, LLMs, and more. This means in minutes we can provide complete series data from any set of documents: PDFs, Excels, websites, scans, etc.
We also understand the financial domain intimately well – our starting point has always been to build something that would have saved us hours per day as hedge fund analysts.
Want to learn more? Watch a full demo here!
If you spend time working with financial data in any field, we believe we can save you valuable time. We’re live with several multi-billion AUM hedge funds but are also very interested in speaking to anyone in banking, research, PE, VC, accounting, or corporate. We’d love to help you!
Head to https://finbar.com/about to request a trial – or reach out directly to ehuang@finbar.com!
About us
Ed was a hedge fund analyst at Balyasny, and before that was at Goldman Sachs. He solo-founded finbar up to first revenue and now leads product and commerce. He is a CFA charterholder.
Robin was a software engineer at Thought Machine, working on a globally deployed cloud-native banking platform. He now leads the finbar tech effort.
We’ve been close friends for 13 years, through school, then Oxford, then as roommates in London – and of course now as co-founders!
Thanks for reading - happy modeling!
How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)
Edward & Robin have been friends for more than half their lives: King’s Scholars at Eton, undergrads at Oxford, roommates in London. Edward founded finbar in 2023 as a solution to the time-consuming ‘grunt’ work of his former hedge fund role, and wrote most of the MVP up to first revenue. Robin joined in 2024 to take the lead on software dev as CTO.
What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?
A huge amount of the financial industry still runs on manual data input: thousands of workers whose job is simply to copy data from documents, build historical time series, and update models by hand. We leverage cutting-edge tech to finally automate this process, delivering more data, faster, and with much lower cost overhead.