Any AI produces a plausible company analysis on demand. ValueLens is built so the numbers behind the analysis hold up in a boardroom: a real model, verified inputs, and the framework from Valuation built in.
The valuation engine is a full financial model, codified with Tim Koller. It is deterministic: same inputs, same valuation, every run. No AI touches the calculations.
Financials are extracted from filings at line-item depth, then verified and approved by human analysts. Every figure traces back to its source.
The interpretation layer carries decades of valuation experience: what drives value, which peers are truly comparable, what the numbers imply, read back as narrative, not data.
Every ValueLens module traces back to the value-driver framework from Valuation: Measuring and Managing the Value of Companies.
Growth creates value only when returns clear the cost of capital. See what happens to value as a business grows.
Reported figures are not comparable across companies: franchise mixes, lease accounting, goodwill and pass-through revenues all move the headline numbers. ValueLens rebuilds each company's financials on one consistent basis, so that a margin, a return on invested capital or a growth rate means the same thing for every company in the peer set.
Financials are extracted from filings at line-item depth and verified by our analysts. Every figure in the analysis traces back to the filing it came from, which is what makes it usable in a board pack, an earnings-prep session or a diligence memo.
Every view comes with written interpretation. The model does the math; the interpretation layer reads it back as narrative, so a non-finance reader follows the same argument the numbers make.
A 20-minute walkthrough: your numbers, your peers, what the market is pricing in.
Public data only, nothing needed from your side.
Pick a time that works for you. In 20 minutes we'll walk you through what ValueLens shows on any company you choose. Public data only, nothing needed from your side.