finbar
AI-powered financial data & analysis
Global financial data, available seconds after release. Cleaned tabular & time series data from 1000s of companies, maintained by proprietary ML, NLP, and OCR techniques. Seamless integration: update your model in 3 clicks, within 5 minutes of publication.
Active Founders
Robin Gan, Founder
Co-founder and CTO at finbar.com.
Previous to this I worked on a globally deployed cloud-native banking platform at Thought Machine.
Edward Huang, Founder
Founder and CEO at finbar. I wrote most of the MVP but now focus product and sales.
Previously I was a hedge fund analyst, and before that at Goldman Sachs. CFA charterholder.
Hear from the founders
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.