touchmαrk
AI capacity has no market. Every reserved deal is a private negotiation.
Today a reserved-capacity deal is negotiated privately: the price depends on who's asking, and the commitment can't be resold. Power, oil and grain trade forward on open markets. AI capacity doesn't yet.
Once you commit, you're stuck.
Committing forward is how you get a real discount, so companies commit. But there's no exit: if plans change or usage drops, the contract stays and you keep paying for capacity you won't use. You want the discount and a way out; today you can't have both.
GPUs are financed on a guess.
A GPU buildout is committed years ahead; the revenue that pays for it arrives month by month. Providers can't see forward demand and face limitations in future capacity sales, so there's no revenue locked against the spend, and nothing to plan the next buildout on.
Give it a market.
Touchmark puts reserved capacity on a live order book. Buyers get the discount at a posted price; providers sell forward against demand they can see.
Discover the price of intelligence.
Standard capacity contracts on a live order book. The open market gives both sides a better deal than a private negotiation.
Commit early. Pay less.
Buy inference capacity in advance at a significant discount: a fixed block of tokens on a named model for a delivery month, served through one OpenAI-compatible key. Draw it down at your pinned per-token rates from the month’s first day.
- Up to 20% off list for committing ahead
- A posted price, pinned the moment you buy
Sell forward. Fund the buildout.
Sell capacity in advance to lock in revenue up front and maximize GPU utilization; idle hours can find buyers before the month starts. The order book shows demand at each delivery month, so GPU commitments are planned against orders already in hand. You set the price and the floor; delivery stays on your endpoints.
- Revenue committed at sale, not at usage
- Demand visible by delivery month
- Settlement handled by the market
The price is a curve.
The market below is illustrative: 1B-token blocks on one model, one delivery month each. Committing ahead earns the discount. The further the delivery month, the deeper the price below list, up to the curve's 20% cap; the discount shrinks as a month nears maturity.
Forward curve · best ask
ⓘDelivery month
Starts 1 Sep 2026 · ends 1 Oct 2026
Order book · Sep 1 – Oct 1
ⓘExample: what a 1B-token block yields on your traffic. Drag the handles to your expected raw-token mix.
Input 35% ≈ 1.44B · Output 10% ≈ 410.1M · Cached 55% ≈ 2.26B — of 1.00B Tokens
SEP26 contract $3,989.33 ÷ 4.10B raw tokens ≈ $0.97 per 1M raw, at your mix.
Name your terms. Providers bid.
Need something the board doesn't list (a bigger block, dedicated GPUs, reserved throughput, latency floors)? Post a request with your exact terms. Providers quote against each other for it: you see every quote as it lands, they see only the level to beat. Accept the best one and it becomes a contract on the spot.
Buy capacity on models that don't exist yet.
Best-in-class contracts track the top of the arena board and resolve to whichever model is #1: you commit today, the winner is named before your delivery window opens.
Best price for committing early. Pinned the moment you buy.
AI is a commodity. This is its index.
Every filled order is a price someone actually paid for model capacity. That makes the index publishable: one reference series per model and delivery month, normalized to spot, with synthetic-unit series for models that haven't shipped.
Our vision: solve AI economy.
We want to build all the infrastructure the AI economy needs. Today that's a market for capacity. The rest is still unsolved: how AI work is priced, measured, verified, and settled. We'll take these one market at a time.

