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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Featured Artificial Intelligence Businesses
Showing 25 of 30 listings
Data Discovery Platform
Call Center Software Provider
Technology Solutions Provider
Healthcare SaaS Technology Financial Services Platform
AI-Driven Custom Software Developer
Healthcare Software
Call / Contact Center Solutions Provider
AI SaaS Platform for Consumer Reporting / Other Regulated Industries
Mobile & Digital Forensic Solutions
Funeral Home Digital Services Company
Virtual Training Software
Agentic AI Solutions and Consulting Services
Food / Beverage Menu Software Provider
No-code QA Platform
Medical SaaS Company
Enterprise Data Infrastructure Services
Career and Workforce Solution
Advanced Optical Process Control Systems Business
Self Hosted Cloud Environment Tools
Software Development Business
Data Management Platform
Restaurant Delivery Software
Research Diagnostics and Biotechnology Company
Functional Programming Consultancy
Enterprise Risk Management Software
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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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FAQ
Artificial Intelligence Business Acquisition
What should I look for when buying an artificial intelligence business?
Start with whether the revenue is subscription-based and whether customers are expanding their usage over time. Then look at what makes the technology genuinely defensible: proprietary data, unique methods, or deep integration into how customers work. The last piece is team depth. A profitable AI business where customers rely on the product daily and a real engineering team keeps it running is the combination most buyers find compelling. Browse artificial intelligence businesses for sale on Rejigg to see what's available.
How much does an artificial intelligence business cost?
Most profitable AI businesses sell for 3 to 12 times annual profit. The multiple depends heavily on recurring revenue quality, how unique the technology or data is, and whether the business can run without the founder. Businesses with strong subscription retention, proprietary data, and capable engineering teams command the higher end of that range. Use the SBA loan calculator to see how SBA financing might work at different price points.
How do I evaluate an artificial intelligence business before buying?
Ask for three years of financials with subscription revenue broken out from project work. Then ask to see the product in production, not just a demo. Understand where the data comes from, whether the company owns it, and how the engineering team is structured. Talk to the technical lead about how updates get shipped and how issues get handled. The goal is to understand whether the value is in the technology and the team or primarily in the founder's relationships and expertise.
What due diligence questions should I ask about an artificial intelligence business?
Ask: What percentage of revenue is subscription versus project? What is the annual churn rate among customers? Who owns the underlying data and technology? Who would maintain the product if the founder left tomorrow? What does the infrastructure cost at current usage, and how does that scale? Are there any open-source dependencies or third-party API costs that could change? And can you get a technical walkthrough from the engineering team before closing?
Where can I find artificial intelligence businesses for sale?
Rejigg connects buyers directly with AI business owners. You can browse artificial intelligence businesses for sale on Rejigg, message owners directly, and access deal documents in one place without going through a broker.
How do I assess whether an AI product is defensible before buying?
The clearest indicators of defensibility are proprietary data that took years to collect, customer customization that makes the product more valuable to each specific user over time, and deep integrations into other tools clients already depend on. If customers have tried alternatives and returned, that's another strong signal. Understanding what it would actually take for a competitor to replicate the product is the core question to work through during evaluation.
Can I get SBA financing to buy an AI business?
Yes, profitable AI businesses with documented recurring revenue generally qualify for SBA 7(a) loans. Lenders will want to see consistent cash flow, reasonable customer concentration, and evidence that the business can service the debt without being entirely dependent on one person. Use the SBA loan calculator to model monthly payments based on the deal size you're considering.