Effort
Tokens and work hours per task
Not only what the model consumes, but also the time your people put in alongside it. Only together do they make a number you can calculate with.
AI is not a gut feeling. Make data-driven decisions.
Tokenometrics shows what your AI actually delivers: tokens and work hours per task, cost per outcome, adoption per department. Self-hosted or SaaS.
What you see afterwards
Return
Cost per outcome
What one completed job or one satisfied customer costs. Reading token usage as a productivity measure is the same mistake as counting lines of code.
Adoption
Who uses AI where
Which department actually puts AI to work, and where the rollout is stalling. Culture, measured rather than sensed.
And when a new model drops next month? Then you do the maths.
Our evaluation framework compares models against your own use cases: efficiency, speed, cost, accuracy. Whether switching pays off is decided by those numbers. Not by the hype, and not by a vendor's benchmark.
Let's get started
Self-hosted or SaaS? Your decision. Our default is your infrastructure, your data, your control.
We are already working with a number of companies on introducing Tokenometrics.
You can get a first impression today. The method behind it you can experience as an assessment, without waiting for the platform rollout.
Do you want to be part of it today?
Tell us what you work with. I'll get back to you within 24 hours.
