About
Equity research, in the open.
An AI-assisted valuation platform for finance-literate users. DCF and comparable company models for S&P 500 stocks, delivered as Excel files you can audit, modify, and own.
Origin
Why we built this
A proper DCF takes three hours. Pulling financials, building a WACC, projecting five years of cash flows, stitching a sensitivity table, formatting it so it looks like something a managing director wouldn't throw back at you.
Most AI valuation tools solve this by hiding the model. You type a ticker, a chatbot returns a number, and the working is gone. Fine if all you want is a price target. Useless if you want to understand the business or defend a thesis.
Intrinsic takes the opposite view. Every assumption is user-controlled. Every formula is visible in the Excel output. The sidebar surfaces historical averages, sector medians and management guidance so you can calibrate, but the inputs are yours. The model is a tool, not an oracle.
Team
Who we are
Two students in London. One reads finance and lives in spreadsheets; the other writes the code that makes them work. Friends for years before we realised we shared the same obsession with markets, and spent too many late nights rebuilding DCFs cell by cell.
Intrinsic is the answer we wish we'd had as analysts. Free during beta while we figure out what's worth paying for.
Principles
What we believe
- 01 — Method
Show the working.A valuation a user can't audit is a guess in better clothing. Every formula lives in the workbook.
- 02 — Judgment
The analyst sets the assumptions. AI suggests inputs and surfaces benchmarks. It does not decide the thesis, and it should not pretend to.
- 03 — Craft
Outputs should look the part. Colour conventions, cross-sheet links, sensitivity tables. The model is something a senior would accept without comment on the formatting.
Questions, feedback, bugs, or a ticker that isn't supported yet — getintrinsic@gmail.com. We read everything.