Precision token forecasting
Curve fitting past token usage to create a budget forecast is pointless. That approach assumes the model market is stationary.
We all know it isn't.
TokenWake prices your workflows against today's model market — including the cost of cascading failures that per-token forecasts never see.
Proven use case · on public data
A ride-sharing giant's AI budget was built to last twelve months. It lasted four.
We gave TokenWake only what was knowable in December — public information, nothing more. From that snapshot alone it flagged the budget as unsustainable. With the model leaderboard added, it named the month: April.
Retrospective analysis on public data.
How it works
Cost from structure, not a fitted curve.
TokenWake delivers token demand management through a patent-pending mathematical foundation that holistically evaluates an enterprise workflow and all its complex dependencies.
Workflow steps, agents, and rework are modeled together, capturing the true cost of cascading retries, abandonment, and silent failures.
- Sees the whole workflow at once — a structural forecast, not a guess: cost is derived from the shape of the workflow, not fit to a historical usage curve.
- 100% deterministic and reproducible — the same inputs replay to the same numbers, so an auditor can check the work.
Model selection
Cheapest API price ≠ cheapest decision.
In a 144-configuration sweep, the cheapest option by API price landed dead last on true cost per delivered task — 6× the winning configuration. We recommend the config that actually costs least, not the one that looks cheapest.
See the hard dollar factsSend us one workflow
One forecast, one recommended configuration.
Deterministic, replayable, and written for decision-makers.
$15,000 introductory offer · $1,000/mo model refresh.
Know the cost before the token spends.