Oct 14, 2026 · 6 min · 6 segments
AI can generate a polished valuation in seconds, but incomplete public M&A data, outdated deal information, and missing buyer context can make that estimate dangerously misleading. In this special…
Valuing your company with AI.
Can you use AI to value your company? You can.
It'll give you an answer in about ten seconds.
It'll be well-formatted, confident, full of multiples that look authoritative, and it may cost you millions.
Here's why.
The data problem no one talks about.
One of the most common methods in tech valuation is comparable transactions, looking at what similar companies sold for and applying those multiples to your business.
There's a fundamental flaw, though.
Typically, fewer than fifteen percent of technology transactions ever have deal value disclosed, and only a fraction of those also have then the deal multiples available.
That means any tool relying on public data is working from a tiny, self-selected slice of the market and is usually the wrong slice.
Public disclosures skew towards large public company deals, regulatory filings, press releases.
The private and mid-market transactions that actually look like your company? Silent.
So when AI tells you that your company is worth four point two three seven times revenue, it isn't wrong because the math is bad.
It's wrong because eighty-five percent of the evidence is missing.
Garbage in, garbage out.
Valuing your company with AI.
Can you use AI to value your company? You can.
It'll give you an answer in about ten seconds.
It'll be well-formatted, confident, full of multiples that look authoritative, and it may cost you millions.
Here's why.
The data problem no one talks about.
One of the most common methods in tech valuation is comparable transactions, looking at what similar companies sold for and applying those multiples to your business.
There's a fundamental flaw, though.
Typically, fewer than fifteen percent of technology transactions ever have deal value disclosed, and only a fraction of those also have then the deal multiples available.
That means any tool relying on public data is working from a tiny, self-selected slice of the market and is usually the wrong slice.
Public disclosures skew towards large public company deals, regulatory filings, press releases.
The private and mid-market transactions that actually look like your company? Silent.
So when AI tells you that your company is worth four point two three seven times revenue, it isn't wrong because the math is bad.
It's wrong because eighty-five percent of the evidence is missing.
Garbage in, garbage out.
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