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Buy AI SaaS · SaaS M&A

SaaS M&A: multiples, deals and advisory for AI software

SaaS M&A at the small and lower-middle market end runs very differently from the deals that make headlines. Below roughly $10M in enterprise value, most transactions are all-cash or cash plus a short earnout, diligence takes weeks rather than quarters, and price is set almost entirely by a revenue multiple adjusted for growth, retention and how much of the business lives in the founder's head. There is no banker syndicate and no auction process, just a seller with numbers and a buyer deciding what those numbers are worth.

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Verified metrics · vetted buyers · escrow on every deal

VERIFIED MRR / ARR VETTED BUYERS TRANSPARENT MULTIPLES ESCROW

Built for AI SaaS not a generic listing wall

Buyouts sits in that market for AI software specifically. Each deal is an anonymized tombstone with verified MRR, ARR, growth and churn and a published, AI-aware multiple, buyers are capital-qualified before they reach full listings, and closes run through escrow. Below you will find how SaaS M&A multiples are set today, how a deal actually runs from first contact to close, and where an advisor earns their fee versus where a marketplace is the cheaper path. All of it is educational, not investment advice, and nothing here guarantees a price.

Why it works

SaaS M&A: what you get

Multiples you can see

Every deal shows a published multiple against verified ARR, so price discovery happens in the open instead of six emails into a negotiation.

AI-aware diligence

Model dependency, inference margin and data rights are priced in. A generalist process misses exactly the risks that decide an AI software valuation.

Marketplace economics

Self-list to vetted buyers and pay a low success fee, rather than a full advisory retainer plus a double-digit commission on a sub-$5M deal.

What you can do

Browse, diligence, and act on real AI SaaS deals

Every listing shows verified MRR, ARR, growth, churn, margin and stack. Filter the deck, open a deal to see the full metrics breakdown, and request access or list your own to vetted buyers.

  • See current SaaS M&A multiples on live deals
  • Source AI software targets with verified metrics
  • Run diligence against a standard metrics pack
  • Reach vetted, capital-qualified counterparties
  • Structure cash and earnout terms directly
  • Close with escrow protection
AI SaaS Listing #A-2231 · SAAS M&A
Verified

Asking

$210K

3.8× ARR
MRR $42K +11% MoM 2.1% churn 86% margin
NEXT.JS OPENAI POSTGRES
ASKING $210K 3.8× ARR ESCROW AVAILABLE

Good questions

Questions about saas m&a

Private SaaS in the sub-$10M market generally changes hands at about 3x to 7x ARR, with a median near 4.5x, and profitable owner-operated products sometimes valued on SDE at 3x to 5x instead. Growth rate and net revenue retention move the number far more than revenue size. Public SaaS comparables trade on different logic and are a poor guide for small deals.
A small SaaS deal runs in five steps: the seller prepares verified financials and a metrics pack, buyers are qualified and sign an NDA, a buyer submits a letter of intent setting price and structure, diligence verifies revenue, churn, code and contracts over two to six weeks, then a purchase agreement and escrowed close transfer the assets. Typical elapsed time is three to six months.
It depends on deal size. Above roughly $5M, an advisor usually earns their fee by running a competitive process and surfacing strategic buyers you would never reach alone. Below that, advisory retainers plus a commission near 10% can consume a large share of the proceeds, and a marketplace with vetted buyers and escrow covers the same ground for a fraction of the cost.
Three things get priced that generalist SaaS diligence ignores: inference and compute cost, which decides whether the gross margin holds; model and vendor dependency, meaning what happens if a provider changes pricing or terms; and data rights, meaning whether the training or customer data actually transfers. Buyers who understand these pay more confidently, and those who do not discount for the unknown.
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