AIUpdated March 2026·10 min read

How to value an AI startup in 2026

How buyers actually value AI-native startups in 2026: model dependency, inference margin, retention, and the wrapper discount.

Primary keyword

AI startup valuation

Search intent

Founder of an AI-native product wants a defensible valuation.

TL;DR

Inference cost as % of revenue is now the #1 valuation driver for AI SaaS.
Sub-15% inference margin = premium. Above 30% = wrapper discount.
12-month retention matters more than growth. Buyers assume growth compresses.

The wrapper vs workflow spectrum

Pure OpenAI wrapper (prompt + UI): 1.3x–2.0x ARR, and shrinking. Wrapper + proprietary data or eval harness: 2.5x–4x ARR. Workflow agent embedded in a vertical: 4x–7x ARR, sometimes more if switching cost is high.

The metrics that move price

Gross margin after inference (target >70%). Net retention (target >100%). Model-agnosticism (multi-provider = premium). Proprietary evals (proof you can't be trivially replaced by a new model).

FAQs

Does the model matter?

Yes. Buyers now ask for the full inference stack and whether you've A/B'd cheaper models. Model choice is a moat if it's yours.

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