Nordbase

Why Nordbase / Honest economics

“The bills don't match the value.”

The token bill climbs every month, and nobody can point to the value line it bought. The problem isn't that AI is expensive — it's that you're paying for attempts.

The situation.

Per-token pricing bills you the same for a solved problem and a fifty-retry failure loop. As long as the vendor gets paid either way, the meter is their friend and your problem.

We flipped the incentive on purpose:

What changes with Nordbase.

  1. Pricing is based on outcomes

    You pay for work that lands. Failed attempts are our cost — which is why the operations layer that prevents them is this good.

    Outcome-based pricing

  2. Failing agents throttle themselves

    An agent that stops succeeding is automatically slowed and flagged. Nobody discovers a flailing loop on an invoice.

    Self-throttling

  3. Limits you set, burn you see

    Hard spend limits per agent, and tasks auto-route to the model that earns its cost — frontier where it matters, efficient where it doesn't.

    Spend limits · Model-agnostic

  4. Open models, European cloud

    Open-source models on our EU infrastructure: materially better unit economics, and your data stays in Europe while you save.

    Open models in the EU

  5. Value gets a number too

    Success rates per agent make the other side of the ledger visible. Cost per completed outcome — finally a figure finance can work with.

    Success tracking

Watch the meter agree with you.

Bring last quarter's AI bill. We'll show you what the same work costs when nobody pays for failure.