Client use cases
Talk to financial data and automate scenario models
Replace fragile Excel sheets with a living AI engine that extracts data from many unstructured sources and values deals and scenarios in seconds.
Financial services
The challenge
Our financial services client's analysts team relies on sprawling Excel models that break when assumptions change. Expensive financial analysts spend half their week copy-pasting, updating formulas and triple-checking links, leaving little time for actual insight.
Ramen AI's solution
We built a Self-Updating Financial-Model Engine: a chat interface where analysts type plain-language scenarios (“What if revenue grows 12% and supplier X increase prices by 5%?”) and instantly get updated valuations & charts—no cell wrangling required.
How we did it
Fast data layer – Pulls actuals from the data warehouse, market APIs each night.
Model compiler – Translates Excel logic into robust Python modules.
Conversational interface – Analysts ask questions and get results plus visuals in seconds.
Versioning & audit – Every scenario is stored with inputs, outputs and a diff against baseline.
The results
Productivity increased from managing 5 towards 25 stocks per $700k yr financial analyst.