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AI MVP agency pricing benchmark
AI MVP agency pricing should land between a founder-DIY path and a traditional product-services quote. Thavage makes that midpoint visible before you overreact to either extreme.
Updated March 12, 2026
Where Thavage helps
Benchmark AI MVP agency pricing for the common founder path: auth, billing, dashboards, admin, and one AI-powered workflow.
- You are pricing a first version, not an enterprise transformation
- You want a benchmark for a compact, AI-native delivery team rather than a layered agency org chart
- You need a funding or budgeting sanity check before vendor outreach
Where a human delivery partner still wins
- MVPs with compliance, migrations, or stakeholder-heavy launches will still need live scoping
- The benchmark is strongest when the product scope is real, not just a pitch deck aspiration
- Formal discovery is still useful when the spec is thin and the commercial risk is high
Questions to ask before you choose a path
- Is your MVP actually scoped, or are you trying to price a future product company?
- What premium are you willing to pay for speed, polish, and accountability?
- Does the quote include only the first release, or also support and iteration after launch?
Next Step
Run your own scoped benchmark
Use the live estimator once you have enough detail to name the features, integrations, and constraints. Then compare your result with the example reports on this page.
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