Own the AI.
Train the experts.
Kaba is the harness that runs AI on hardware you control, and the lab where it gets better from your own work. For builders training their own models, and for companies that need every agent, dataset, and decision under their control.
Why Kaba Exists
AI changed what computing is for. The browser is still one of the most important places work happens, but it is no longer the only one: models now gather context, take action, and learn across the browser, the terminal, your files, and every connection between your devices. That shift is why Kaba exists.
Most AI runs on models nobody using it owns. Prompts, documents, and the judgment of your best people flow into someone else's system, and none of it compounds for you.
Kaba fundamentals: why it is designed this way
Understanding AI control and risk starts with a way to capture AI and its risk. That is why one harness does so much. A browser, a terminal, a file manager, a private mesh, and a policy engine look like a lot for one product, and each piece is there for a reason.
Two Ways In
Your Hardware. Your Model.
Start Training Your Attention.
Be your own lab.
Your laptop, desktop, and home lab become one private AI that learns from how you work. Build datasets from your own context, train LoRA experts on your own hardware, and own every one of them. Free and open source. Local and encrypted by default.
Using models is now the norm. With Kaba, build datasets, train with RL, and turn telemetry into fuel. Be your own lab.
Your Hardware. Your Model.
Start Training Your Attention.
AI your company controls,
end to end.
Deploy agents on your own infrastructure with your people, ontology, policies, and expertise in every loop. Accelerate adoption without turning speed into insider risk.
Not VDI. The Controls Of VDI, Built For AI.
Virtual desktop infrastructure (VDI) runs each employee's desktop as a virtual machine in a central data center and streams the screen to whatever device they use. It solved the last shift: data stayed in the data center, and IT could govern every desktop from one place, at the cost of speed. AI agents can't work that way. They make thousands of small decisions, and every round trip to a VM or a remote API slows each one down. Local, instant AI needs a new way to run it: central control, distributed compute.
Kaba is not VDI. Nothing is virtualized and no screen is streamed. Work runs natively on each device, and fleet management gives IT the same controls VDI provided: enrollment, central policy, access rules, updates, audit, and remote wipe of keys and data.
In practice, Kaba works like an operating system.
An operating system decides what runs, what it can access, and how it talks to the outside world. Kaba does the same for AI across every device in the fleet, through the harness and its private network.
Every deployment runs through three loops: your people and ontology, your policies, and your expertise. They are built into the runtime, not sold as add-ons.
Run The Whole Fleet From One Place
Every laptop, workstation, server, and edge device running Kaba is part of one fleet. Manage it, search it, and train across it, with every result feeding the company model.
A Model That Builds Itself From Your People
Each team trains adapters on its own work. Kaba routes across them as a mixture of experts, so the company model improves every time someone does their job well.
The fastest way to adopt AI is to let everyone use it. When nobody understands where data goes, what agents can touch, or which models learn from it, that speed becomes the biggest risk inside your company. Kaba lets you accelerate with the risk visible and governed from the first deployment.
You Can't Control AI Cost Until You Control AI Use
For most companies, AI spend is growing faster than anyone can track. Seats, API tokens, and cloud GPUs are billed by different vendors to different teams.
Cost and risk are the same problem. When you can't see who is using which model on what data, you can't secure it and you can't budget for it. Kaba puts use under control first, and cost control follows.
Your Hardware. Your Model.
Start Training Your Attention.
Security people who don't want to slow you down.
We've spent decades in enterprise security. We've also watched security teams become the reason new technology stalls.
We don't think that trade-off is necessary. You can move fast, understand your risk, and protect your data at the same time. Kaba is how we're proving it.
Our team has worked incident response at GE CIRT, done R&D at Mandiant, and built security companies that solved hard enterprise problems. Kaba is the latest of those, and not the last.