noTOKEN.cloud is managed private infrastructure for autonomous AI work. We sell completed work, not tokens — and the round is for go-to-market, not for the build.
Cloud AI charges for thinking. Every token of internal reasoning, every retry, every loop — metered and billed. That unit of account was right for chatbots and wrong for agents: an autonomous worker that runs 24/7 on long-horizon tasks makes the customer's bill a function of the model's thoughts, not of the work delivered. noTOKEN inverts the billing: you give it an objective, you pay flat worker-time, and you get verified completed work. The tokens are free; the hour is fixed. When AI does the work, the work — not the thinking — is what should be priced.
A 218B model running on a single 96GB GPU at 97.8% of cloud quality (public, DOI-cited). 500 tok/s with 1M context on our tuned stack. And 20 years running the critical layer — realtime, low-latency infrastructure where failure is not an option. The build is done; the moat is the people and the optimization IP behind it.
$0.5–1M at a $5M cap, purely go-to-market. The system is live and selling; this round buys distribution, not development. If the economics of worker-time pricing fit your thesis, the deck has the numbers.
12 slides. The people up front, the numbers where they matter.
Open the pitch deck