kayetanaRoll out AI without giving up control.
Your team is already using AI, often with personal accounts and company data. kayetana gives everyone a tool that runs in-house, with fixed costs and clear visibility.
Three reasons that matter to decision-makers.
Data stays in-house
Models, documents and logs live on your server. Not a single prompt goes to a cloud provider.
Predictable costs
One flat fee for the platform. No per-token or per-user billing.
Clear visibility
Usage per day, key and model. You can see whether AI is catching on.
See how AI is catching on across the company.
The usage overview shows tokens and requests per day, key and model over 7, 30, 90 or 365 days. No content is stored, only time, model, status, tokens and duration.
- Response time and error rate
- Monthly limit per API key
- No content in the logs
Where teams typically begin.
- Questions about policies and handbooks
- Contract summaries
- Meeting minutes from recordings
- Pre-sorting emails and tickets
- Drafts for copy and proposals
- Connecting your own apps via API
How to roll out kayetana.
Set a goal
Pick a task that affects many people and takes measurable time.
Run a pilot
Try it with a small team and build templates.
Roll it out
Invite more departments, assign roles and watch usage.
Build on it
Connect your own apps via API or fine-tune models.
Talk to us about getting started.
In the demo, we show you the platform and discuss a pilot for your company.
Frequently asked questions
How much does kayetana cost?
A flat fee for the platform, available on request. Plus the Mac Studio, either your own hardware or supplied by us.
How quickly can we get started?
One script installs models, services, HTTPS and backups. Then you invite your team by link.
Will kayetana make us GDPR-compliant?
kayetana supports you, because data doesn't leave the building and prompts aren't stored. It's not a guarantee or legal advice.
Are we locked into one model vendor?
No. kayetana works with open models. You can pull more by name and set the default model for each task.