{"id":759,"date":"2026-09-23T08:56:03","date_gmt":"2026-09-23T00:56:03","guid":{"rendered":"https:\/\/www.finndy.com\/index.php\/2026\/09\/23\/ai-startup-acquisition-due-diligence-small-product\/"},"modified":"2026-09-23T08:58:03","modified_gmt":"2026-09-23T00:58:03","slug":"ai-startup-acquisition-due-diligence-small-product","status":"publish","type":"post","link":"https:\/\/www.finndy.com\/index.php\/2026\/09\/23\/ai-startup-acquisition-due-diligence-small-product\/","title":{"rendered":"AI Startup Acquisition Due Diligence: 10 Questions Before Buying a Small AI Product"},"content":{"rendered":"

Small AI products can look attractive because they have users, revenue and a working interface, but acquisition value depends on what survives after ownership changes. Buyers should diligence the underlying system, not only the dashboard.<\/p>\n

1. Why do users stay?<\/h2>\n

Review cohort retention and identify whether usage is habitual, seasonal or driven by one viral launch.<\/p>\n

2. Where does traffic come from?<\/h2>\n

Founder-led social accounts, SEO, app stores and paid ads have different transferability.<\/p>\n

3. Which model dependencies exist?<\/h2>\n

Document providers, rate limits, prompts and features that may be difficult to migrate.<\/p>\n

4. What are real gross margins?<\/h2>\n

Include inference, media generation, payment fees and human operations.<\/p>\n

5. Who owns the data?<\/h2>\n

Confirm rights to customer data, training assets and licensed content.<\/p>\n

6. Is the code maintainable?<\/h2>\n

Review deployment, tests, secrets, observability and key-person dependencies.<\/p>\n

7. What happens if the founder leaves?<\/h2>\n

Identify relationships and processes that exist only in the founder’s head.<\/p>\n

8. Are platform accounts transferable?<\/h2>\n

App-store, payment and advertising accounts may have restrictions that affect a transaction.<\/p>\n

9. What liabilities exist?<\/h2>\n

Review privacy, refunds, intellectual property and unresolved customer commitments.<\/p>\n

10. Where is the synergy?<\/h2>\n

An acquisition should have a clear value-creation thesis such as shared distribution or infrastructure. This extends our earlier AI roll-up strategy<\/a> analysis.<\/p>\n

Buy durable assets, not temporary metrics<\/h2>\n

The best small AI acquisitions transfer customers, technology, distribution or data that remain valuable after the deal. Due diligence should test that durability explicitly.<\/p>\n","protected":false},"excerpt":{"rendered":"

Ten due-diligence questions for acquiring a small AI product, covering retention, model dependency, data rights, code quality, channels and unit economics.<\/p>\n","protected":false},"author":1,"featured_media":735,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9,3],"tags":[24,26],"class_list":["post-759","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-companies","category-investment","tag-ai","tag-deep-tech"],"yoast_head":"\nAI Startup Acquisition Due Diligence: 10 Questions<\/title>\n<meta name=\"description\" content=\"Ten due-diligence questions before buying a small AI product, covering retention, model dependency, data rights, code, channels and unit economics.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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