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September 15, 2026 · 3 min

Why Ontu prices per seat, and still doesn't meter the AI

Most AI tools price per seat and then ration usage on top of it. Ontu keeps those two decisions separate.

Per-seat pricing gets a bad reputation because most tools pair it with a second constraint: cap the usage too. Add a person, pay more. Use the AI more, pay more again, or just hit a wall. It's the model that makes teams ration access to the tool that's supposed to make them faster in the first place.

Ontu keeps the two decisions separate. A seat is for a person doing real work in a project: drafting, reviewing, giving feedback. Once someone has a seat, the AI itself isn't metered. There's no token cap, no per-query cost, and no add-on tier to unlock more research, just a fair-use provision that catches extreme outliers rather than getting in the way of normal work.

Seats come in two tiers. Team covers the day-to-day, with full AI access on every project you're on and inline feedback on anything it drafts. Partner adds the firm-wide layer on top: SOP libraries, standing instructions, role templates, analytics, and who else gets a seat. Both are billed annually and priced per seat, rather than negotiated deal by deal.

What you end up with is a plan that scales with headcount the way most software does, without punishing anyone for actually using the AI once they're in.

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