The AI behind sharper, faster private valuations.
Our AI model has already learned how the public market prices thousands of companies: their growth, margins, debt and the economy around them. Give it your portfolio company's financials, and your valuation team gets a defensible range with the evidence behind it, without rebuilding the comps from scratch every quarter.
Evidence your auditor, your committee and your LPs can follow.
Fair value frameworks
Designed to support the market approach under ASC 820, IFRS 13 and the IPEV Valuation Guidelines.
Audit-ready
Every result can be reproduced exactly, as of any past date, with the evidence behind it.
No hindsight
Every input is taken as it was known on the valuation date.
Independent
We don't invest or manage money. Our only interest is the evidence.
Models in live production every week · Working on AI in finance since 2000 · Research published at pouthon.com
Read our research →Better marks, in less time. Stronger in the committee room.
Faster valuations
Our model is already built and trained, so your team gets a first range quickly, without rebuilding the comps every quarter.
A number you can stand behind
A low, central and high range with the drivers behind it, ready for your valuation committee, LPs, lenders and auditors.
Today's market, not last year's
Every valuation reflects market and economic conditions on your valuation date.
One view from entry to exit
The same evidence to underwrite a deal, support quarter-end marks and plan the exit.
The public market's evidence, applied to your private companies.
Thousands of listed companies are priced every day. We turn that record into a valuation for the company you own.
We find the public companies that look and trade most like yours.
We compare your company with them, in today's conditions.
We show how the listing market has priced companies like yours.
Our models bring it together into a valuation range, with the drivers explained.
No chatbot sets your mark. Every number comes from models fitted to market data and tested on data they never saw.
Your data is used only for your engagement. It is never pooled with other clients' data and never used to train models for anyone else.
Before the model, the data.
A valuation model can only be as good as what it learns from. So we built our own record of the US market first, stored exactly as it was on each day and checked before it's used.
Point in time
Every figure stored as it was published, so a valuation only sees what was known on its date.
Checked before use
Splits, name changes and recycled tickers are verified against prices before they enter the data.
Two decades deep
Daily prices for every US-listed stock since 2003, and every US trade since 2005.
Proprietary research at every stage of the deal.
Not bought from a data terminal. Built, tested and run by us on two decades of US market data, and published even when the answer is no.
- Peers
Comps that stay comparable
We track every listed company against its group, so we know the moment a comp stops behaving like one.
- Sector
The sector, seen clearly
A few giants can dominate a sector index. Our revenue-weighted view sees past them to the real economics of the sector.
- Exit
The IPO record, measured
Every US listing since 2009, from offer price to first year, by sector, size and window. We know what the market really pays.
- After Listing
Timing the sell-down
Every index change measured for price and volume, so you know when demand for your shares runs deepest.
A mark, a deal or an exit coming up? Let's talk.
Tell us about the company, the date and the question your committee will ask. We'll show you what the market evidence can tell you.