AI M&A Advisory

Sell-Side M&A Advisory for AI Companies

Windsor Drake advises founders of AI and AI-native software companies on the most important transaction of their career. AI is the most mispriced category in the market, with valuations that swing from mature-software multiples to double-digit revenue multiples depending on layer, data advantage, and which buyer is at the table. We run a confidential, competitive process built to find the buyer who values what you have actually built, and to convert a flattering headline into the best achievable terms.

Founder-led AI & software companies · Applied AI, data & MLOps, infrastructure, and model teams · US & Canada · Senior MD-led

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4 Layers

Of the AI Stack

12–20x

Top-Layer Revenue Multiple

Senior

MD-Led, Conflict-Free

US & CA

Strategic & Sponsor Buyers

Who We Advise

Founder-led AI and software companies, across the stack.

We work with founder-led companies across the AI stack. Our clients are operators with real customers and real revenue who want senior, conflict-free advice on whether, when, and how to sell. Every engagement is led personally by the firm’s principal, not handed to a junior team.

Applied & vertical AI software

Operators with real customers and revenue using AI to win a specific industry or workflow.

Data & MLOps platforms

The tooling and data infrastructure that trains, deploys, observes, and governs models in production.

AI infrastructure

Compute, inference, orchestration, and the infrastructure-adjacent software AI workloads depend on.

Model & research teams

Foundation-model and applied-research teams whose data, weights, and talent a buyer cannot easily assemble.

What AI Companies Are Worth

Valuation by layer.

AI pricing splits sharply by layer. The premium goes to proprietary data, proven unit economics, and retention you can evidence, not to the word “AI” in a deck.

AI valuation by layer of the stack (EV / revenue)
Layer	EV / Revenue	What drives the premium
Foundation models & generative AI	12x–20x+	Proprietary data, durable inference advantage, earliest-stage scarcity
AI infrastructure & infra-adjacent software	6x–10x	Compute economics, ecosystem position
Data & MLOps platforms	6x–9x	Workflow lock-in, data gravity
Applied, enterprise & vertical AI applications	3x–6x	Retention, unit economics after inference cost

Indicative ranges; the earliest-stage model assets clear materially higher. For a fuller picture, see our breakdown of who buys AI companies and the current ranges in our AI software valuation report.

How We Run the Process

A senior-led, competitive process.

The work is hands-on from first call to close, and the founder is never handed off to a junior team.

Positioning and packaging

We frame your data, model, and revenue story for the specific buyers who pay for it, and prepare materials that survive diligence.

Buyer mapping

We identify the short list of strategics and sponsors whose roadmap or thesis genuinely fits your layer of the stack.

Competitive process

We approach buyers under NDA and run them in parallel, so price reflects competition rather than a single bid.

Structure and close

We negotiate cash at close, rollover, retention, and earnout terms, then manage diligence through signing.

Who Buys AI Companies

The buyer landscape for AI companies.

The right buyer depends on your layer of the stack. A process that reaches all three pools, and creates tension between them, is what separates a premium from a clearing price.

Strategic acquirers

Hyperscalers, enterprise-software and security platforms, and data and chip incumbents acquiring capability they cannot build fast enough internally.

Private equity platforms

Sponsors buying applied-AI and vertical software with real revenue, retention, and a path to margin expansion.

Growth & crossover sponsors

Investors backing model and infrastructure leaders, often the bridge between a private process and a larger strategic outcome.

Considering a Sale?

Find the buyer who values what you actually built.

Windsor Drake runs confidential, competitive sale processes for founder-led companies. Request a confidential, no-obligation read on where your company would price and which buyers are active.

Request a Confidential Valuation Speak With an Advisor

What Buyers Underwrite

What a buyer examines first.

Data and model advantage

Whether your edge is proprietary and durable, or replicable with capital.

Unit economics

Gross margin after inference cost, and whether the model improves as it scales.

Retention

Whether customers stay once the novelty passes.

Team and IP

The talent and technology a buyer would struggle to assemble independently.

Why Windsor Drake.

Most founders sell once. The outcome depends on the judgment of the person running the process, their command of how AI buyers actually price and underwrite, and their willingness to protect your interest when it costs them convenience. Windsor Drake takes a limited number of engagements so each receives senior attention, and we advise only in sectors we know well, so buyers know a business we bring has been vetted and positioned by people who understand the category.

Frequently Asked Questions

AI M&A advisory: common questions.

What is my AI company worth?

It depends on your layer of the stack. LLM and generative-AI assets clear 12 to 20x revenue, data and MLOps platforms 6 to 9x, infrastructure-adjacent software 6 to 10x, and enterprise AI applications 3 to 6x. Proprietary data, unit economics, and retention move your number most.

Who buys AI companies?

Strategic acquirers such as hyperscalers, enterprise-software and security platforms, and data and chip incumbents; private equity platforms buying applied-AI vertical software; and growth and crossover sponsors backing model and infrastructure leaders. See our guide on who buys AI companies for the full landscape.

What makes AI M&A advisory different from general technology M&A advisory?

AI is the most mispriced category in technology M&A. The same revenue can be valued at mature-software multiples or at double-digit revenue multiples depending on layer, data advantage, and which buyer is at the table. General technology M&A advisory tends to anchor on software comps; AI requires an advisor who can evidence a data or model moat, defend unit economics after inference cost, and reach the strategic buyers paying for capability rather than cash flow.

Do you advise machine learning, data, and AI infrastructure companies, not just AI applications?

Yes. We work across the AI stack, applied and vertical AI software, data and MLOps platforms, machine learning and AI infrastructure, and model and research teams. Each layer has a distinct buyer pool and valuation logic, and the positioning is built to the layer.

When is the right time to sell an AI company?

When your unit economics and retention can be evidenced, your data or model advantage is clear, and strategic buyers are actively paying for capability in your category. Selling into live buyer appetite is the difference between a premium and a clearing price.

How does Windsor Drake get paid?

Windsor Drake is a sell-side advisor engaged by the company. Fees are agreed up front and structured to align our incentives with your outcome. Every inquiry is confidential and nothing is shared without your written consent.

How long does selling an AI company take?

Most sell-side processes run several months from preparation to close. The preparation carries the value: positioning, buyer mapping, and clean diligence materials should be finished before launch, not improvised during the process.

Confidential Inquiry

Discuss a potential AI transaction.

If you are a founder considering a sale or recapitalization in the next 12–24 months, a confidential discussion is the appropriate first step. Every inquiry is confidential and nothing is shared without your written consent.

Request a Confidential Valuation

All inquiries are strictly confidential.