Who we serve

M&A Advisors for AI Companies

733Park represents founders of applied AI and AI-enabled software companies in sell-side and buy-side transactions. We work where AI meets money movement and vertical software, the segments where we already know every buyer.

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For more than 25 years, 733Park has done one thing: put payments, fintech, and SaaS deals together. We have closed more than 200 transactions representing over $10 billion in deal volume. Our clients have enterprise values from $5 million to $350 million, and every engagement is led personally by our founder. AI is not a new category for us; it is the newest layer of the categories we have always worked.

Wondering what your AI company is actually worth to an acquirer? Start with our guide, How AI Companies Are Valued for Acquisition.

AI companies we represent

Applied AI companies solving a specific business problem with real recurring revenue
Vertical AI platforms built for one industry's workflow, data, and compliance reality
AI in payments and fintech: fraud, risk, underwriting, compliance, and money-movement intelligence
SaaS companies with AI-driven products where the AI layer changes the multiple conversation
Buy-side mandates for acquirers adding AI capability to a platform

What buyers underwrite in an AI deal

Durability over demos. Buyers have learned to separate proprietary data, workflow position, and switching costs from capabilities anyone can rent from a model provider. We position your company around what compounds, because that is what gets paid for.

Unit economics after inference. Gross margin net of compute is now a standard diligence item. Clean cost accounting before going to market prevents a price renegotiation after LOI.

Revenue quality. Recurring contracts with expanding usage trade like software. Pilots, proofs of concept, and services trade like services. Getting the mix and the story right before buyers see the numbers is a large part of the outcome.

The team question. In some AI deals the team is a real part of the price. We structure processes so talent value is captured in the headline number, not conceded in retention packages.

Questions AI founders ask

How are AI companies valued in an acquisition?

Buyers separate durable value from rented value. Proprietary data, embedded workflow position, retention, and gross margin after inference costs get underwritten; thin wrappers on someone else's model get discounted. Revenue quality matters more than the AI label: recurring contracts with real usage trade like software, pilots and services trade like services. Our guide on how AI companies are valued covers the mechanics.

Who buys AI companies?

Strategic software acquirers filling a product gap, private equity platforms adding AI capability to a vertical thesis, and larger AI companies consolidating talent and distribution. In applied AI for payments, fintech, and vertical SaaS, the buyer list overlaps heavily with the buyer lists we already work every month.

Is it the right time to sell an AI company?

Buyer appetite for applied AI with real revenue is strong, and scarcity premiums are real for category leaders. But process quality matters more than timing: an AI company that goes to market with clean metrics and a competitive process will outperform one that takes the first inbound offer in any market.

Is 733Park too small to run my deal?

Boutique is the point. We take fewer engagements and the founder runs every one, which is how we have closed more than 200 transactions over 25 years. Larger firms hand deals under $100 million to junior teams. We do not.

Find out what your AI company is worth to the right buyer.

Direct conversation with Lane Gordon, no obligation.