For founders

Grow AI usage without bloating AI spend.

See what's driving costs, review savings opportunities, and get more out of your AI budgets.

Tokenize weekly digest summarising spend against budget, top sessions, power users, skills, and models

“We saved 40% of our bill after 4 weeks with Tokenize while growing our team's AI adoption. Tokenize is a “must have” for any team serious about becoming AI-enabled.”

Series B Founder

AI Spend Observability

Know where the spend goes.

Understand spend by team, tool, and model and see the key workflows behind cost increases.

Learn about observability →

AI Cost Savings

Find spending worth optimizing.

Review costly recurring tasks and model choices with the people doing the work and coach the team to adopt more efficient practices.

Learn about cost savings →

AI Coaching

Drive smarter AI adoption.

Identify the workflows used by your AI superusers for each team and function. Help the rest of the company adopt these best practices and adopt AI smarter.

Learn about coaching →

Frequently asked questions

See all FAQs
How is this different from the usage dashboard my AI vendor already gives me?

Vendor dashboards show you that vendor, and only the teams on it. Tokenize shows every AI tool side by side, across every team, with one definition of cost. It also connects spend to the work it produced, which vendor billing pages do not do.

Does it tell me whether the spend was worth it?

It connects spend to output, so you can see what a piece of work cost and what it produced. You still make the judgment call. We give you the evidence to make it with.

What happens when a team hits its budget?

You get alerted, with the forecast that led there. Budgets are there to make spend visible early, not to cut people off mid-task.

Will this slow my teams down?

No. The controls run in the background, and Tokenize emphasizes visibility over approval steps. People do not have to ask permission each time they use an AI tool.

How long does setup take?

You can create an organization and begin receiving data the same day. The timing of a full rollout depends on your device management process.

Can we try it before rolling it out to everyone?

Yes, and we recommend it. Start with a few teams, look at what comes back, then decide how wide to go.

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Get better ROI on your AI investment.

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