Artificial Intelligence Businesses for Sale.

A profitable AI business is exciting when it actually works in the real world, with subscription customers who have built the product into their workflow and proprietary data that took years to collect and can't be replicated overnight.

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A clay model of an AI company in a renovated San Francisco brick warehouse, with the owner looking over the operation.

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$3.0M

Median Asking Price

Rejigg lists 51 artificial intelligence businesses for sale. The median asking price is $3.0M. 8 of them were listed in the last 30 days. The states with the most artificial intelligence listings are California with 5 listings and Florida with 5.

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Featured Artificial Intelligence Businesses

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What to know

What to know about buying an artificial intelligence business

How artificial intelligence businesses are valued

Asking prices are set as a multiple of earnings: 3x–12x annual profit, depending on recurring revenue, unique technology, and team.

Where you land in that range depends on how much of your revenue comes from subscriptions versus one-time projects, whether your technology or data is truly unique, and how much the business runs without you.

Customers who subscribe and stay
Data or technology competitors can't copy
A team that builds and ships without you
Customers who've built your product into their workflow

What buyers of artificial intelligence businesses look for

Software companies that want to add AI features to their existing products
Technology companies looking to acquire specialized capabilities or data they don't have
Larger AI companies that want to add your niche expertise to their portfolio
Experienced technical leaders who want to own and grow a profitable AI business

The first questions buyers ask:

Data Rights. For every major data source, what’s the permission that allows training and ongoing use?
Deal Perimeter. What are you actually selling: IP, customer contracts, data, and the right to keep operating the same way?
Product vs Services. Are you selling a product, a services team, or a hybrid—and what happens between “signed” and “live,” step-by-step?

Closed deals

Rejigg artificial intelligence deals closed

Across 42 closed deals on Rejigg, the median time from first pitch to close is 177.5 days.

See all Rejigg deal data

Due diligence

What to Look For

Practical guidance from hundreds of real acquisition conversations.

Real Recurring Revenue

Ask for a breakdown of subscription versus one-time project revenue.
An AI business with customers who subscribe, expand usage over time, and have built the product into their daily workflow is a fundamentally different acquisition than one that generates lumpy project fees.
Steady subscription income gives you a clear picture of what day one looks like after the deal closes.
Look at whether subscriptions have grown, stayed flat, or contracted over the past two years.

Proprietary Data or Technology

One of the most important questions in any AI acquisition is what actually makes the product defensible.
If the company has trained on years of real-world proprietary data, that's not something a competitor can replicate with off-the-shelf tools or a few months of effort.
Ask whether the company owns its data outright or licenses it, and what those agreements say about transferability.
Unique methods, custom models, or deeply customized client deployments are also strong signals of a real moat.

Production-Ready Technology

Ask to see the product running in the real world, not just in a demo.
You want to understand whether it handles production-level load, whether monitoring and alerting systems are in place, and whether the engineering team ships updates without escalating everything to the founder.
A business where customers rely on the product daily and the engineering team handles it independently is worth meaningfully more than a polished prototype.

Customer Stickiness

Look for evidence that customers have built the AI product into their actual workflows.
When the tool feeds reports, automates decisions, or connects to other systems clients use every day, switching becomes genuinely disruptive.
Customers who have used the product for two or more years and expanded their usage over time are showing you exactly that kind of stickiness.
Ask what the annual churn rate is and how that has trended.

Team Depth Beyond the Founder

Understanding who runs the engineering team, who manages customer relationships, and who would keep the product running if the current owner stepped away is important in any technology acquisition.
Businesses with documented processes, a capable technical team, and clear responsibilities for key functions transfer much more smoothly.
Ask to meet the technical lead and talk through how updates get shipped and how production issues get handled.

Valuation

What Should You Expect to Pay?

3x-6x

SDE

Profitable, founder-led with capable team

6x-12x

EBITDA

Strong recurring revenue, proprietary technology, independent team

The spread is driven primarily by how much of the revenue is subscription-based, how defensible the underlying technology or data is, and how much the business can operate and grow without the founder's direct involvement.

What drives a premium

Subscription customers who expand usage year over year and have embedded the product in their workflows

Proprietary datasets or algorithms that took years to develop and cannot be replicated with off-the-shelf tools

Engineering team that ships updates, handles production issues, and builds new features without founder involvement

Platform partnerships or integrations that create built-in distribution without a large sales team

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For buyers

Make your next conversation count

A listing starts the conversation. These tools help you check the fit, understand the financials, and decide what to ask next.

Prepare for the first owner call

Clarify what is for sale, who runs the business, and what the owner wants from a transition.

Prepare your buyer introduction

Check the numbers behind the asking price

Explore financing scenarios, debt payments, and the cash a business needs to keep operating.

Try the SBA loan calculator

Turn interest into a clear next step

Use the diligence checklist and LOI templates to organize requests and prepare a proposal.

Explore the deal templates

Find a business worth a closer look

Keep your industry and location in focus. Explore matching businesses or get new listings as they arrive.

Explore matching businesses Get new matching listings

Thinking About Selling?Read our owner's guide to selling an artificial intelligence business, with valuation tips, buyer expectations, and step-by-step advice.

Read the Owner's Guide

Artificial Intelligence Business Acquisition

How do I contact the owner of a business I found on Rejigg?

Create a free Rejigg account; owners, and the brokers who run some sales, only hear from buyers through the platform. Open the listing to see the full profile: city, team size, financials, what is for sale, and the reason for selling. Sign Rejigg's standard Fee & Confidentiality Agreement for that business; it is the same form for every deal. Verify your phone, then send your pitch from the listing. Replies, meetings, and documents all run through Rejigg.

Can I email Rejigg to get introduced to an owner?

No. Rejigg does not forward emails to owners or brokers, so a note to support@ or hello@ with a listing link will not reach them. Create a free account, open the listing, sign the agreement for that business, verify your phone, and send your pitch; that reaches them in a few minutes.

For every major data source, what’s the permission that allows training and ongoing use?

Buyers are underwriting whether the company can keep operating legally after the sale. They want proof that you’re allowed to collect, store, and use the data the way your product really works, including what happens if a customer terminates or revokes permission. If the answer is vague, buyers protect themselves with escrow, indemnities, or a lower price.

What are you actually selling: IP, customer contracts, data, and the right to keep operating the same way?

AI companies have more “what actually transfers?” issues than typical software. Customer data may be non-transferable or must be deleted, model access might sit in a vendor account, and internal tooling may never have shipped. Buyers want a clean list of what they get on day one, and what requires customer or vendor permission, so there are no late surprises that force a re-trade.

Are you selling a product, a services team, or a hybrid—and what happens between “signed” and “live,” step-by-step?

Buyers are pricing your real delivery engine. If “software revenue” requires weeks of custom integrations, data cleanup, prompt tuning, and ongoing exception handling, they underwrite it like a services-heavy business with limited capacity. A clear implementation story helps a buyer separate repeatable product value from custom work, and it usually speeds up diligence.

What drives your inference cost, and how does it change as customers grow?

AI margins often look fine at low usage, then swing hard when customers scale, context windows get bigger, latency targets tighten, or GPU and model bills jump. Buyers want customer-level unit economics, not blended averages, plus proof that pricing protects you when a customer becomes a heavy user. If you cannot explain your cost drivers in plain terms, buyers assume gross margin is fragile.

What parts are your own work versus third-party models and tools—and what happens if the main model provider changes tomorrow?

Buyers are pricing supplier risk, including price changes, deprecations, outages, policy shifts, and quality swings. Plenty of strong AI businesses run on third-party foundation models, but buyers still want to see that the dependency is understood and actively managed. If switching providers takes months and breaks key workflows, that risk shows up in price, escrows, or earnouts.

How stable is model performance in the real world, and what triggers retraining or rollback when results get worse?

Buyers want evidence the system holds up in production, not just in a demo. They also want to understand how you catch performance decline before it turns into churn, escalations, and manual review work. A clear release gate and monitoring process tells a buyer the company can keep shipping safely after the founder steps back.

Artificial Intelligence Businesses for Sale.

Featured Artificial Intelligence Businesses

AI-Powered Data Aggregation Platform

Cloud Contact Center Workforce Software

Defense IT Solutions Provider

Digital Marketing, Design and Technical Development Firm

Call / Contact Center Solutions Provider

Healthcare SaaS Technology Financial Services Platform

Healthcare Software

AI-based Fintech Loan Origination Platform

Agentic AI Solutions and Consulting Services

Virtual Training Software

AI-Powered Career Navigation Platform

Mobile & Digital Forensic Solutions

AI Beverage Menu Platform

No-code QA Platform

Enterprise Data Migration Software & Services

Data Management Platform

Advanced Optical Process Control Systems Business

Self Hosted Cloud Environment Tools

AI-Driven Contact Center Solutions

Biotech Drug Discovery Enzyme Supplier

AI-Driven Ecommerce Content Optimization

Enterprise Risk Management Software

Translation Services SaaS Company

Tech / Media Business for Aviation Industry

Custom AI Software Development & Maintenance Business