Run any model. On hardware you control.

Your data, your models, your hardware. All with a predictable bill.

Private AI · Owned outright

Bring AI to your data. Not your data to AI.

Xydo delivers private AI with a predictable bill. Your data never leaves your dedicated compute environment, where you can run any open source model. The budget you set is the bill you get.

The frontier wasn't won on a borrowed horse, or built on rented land.

The problem

Enterprises want to claim the AI frontier, but most are still riding borrowed horses: public models, rented GPUs, and unpredictable token bills that leave them with neither control nor clarity.

The solution

Xydo gives you the land and the horse. A private, single-tenant AI platform with predictable costs, so you can own the frontier instead of renting it.

  • Sovereignty

    Your data belongs to you. Not to a hyperscaler, not to a frontier model. You, always.

  • Integrity

    No fine print on where your data sits. We are in it to change how companies use AI, for good.

  • Agency

    Your data, your hardware, your model. You decide how, where, and when AI goes to work.

The choice

Owning your AI beats perpetual renting.

You could put your data on their cloud. Run their models on their metal. And pay whatever they meter.

Xydo is different. You own the stack. Your bill, your data, your models, your choice of hardware. Your call.

What we do

We bring AI to your data.

Run your models on hardware you own, or in a locked-down instance that never touches the public internet. Your call, for every instance and every project.

  • The Project basics step of Create a new project in the Xydo console: a project name, the realm it is created in, and the Serving project type selected from Serving, Essential and Template.
  • The Configure step of Create a new project in the Xydo console: DeepSeek R1 at 14b, concurrency at one user, context length at 8,192 tokens, and AI Compute set to Automatic.
  • The same Configure step with AI Compute set to Manual and Deployment set to Public Cloud, with an Nvidia L40S 48GB chosen as the GPU type.
  • The same Configure step with Deployment set to Private Cloud, with an Nvidia L40S 48GB chosen as the GPU type and one, two, four or eight GPUs on offer.
  • The Review step: a Manual, Private Cloud project on one Nvidia L40S 48GB with a 100 GiB root disk, its hourly and monthly cost estimate, and the model configuration.

Project basics

Why Xydo

It's yours, all the way down.

Ownership

Dedicated to your workloads.

Single-tenant compute means no noisy neighbors and no shared control plane. You have a cleaner failure domain that's yours, wherever you run it.

Stewardship

Private by default.

Xydo is committed to private compute, not an early exit that abandons you or your data. Our promise: Your IP stays on your servers and will never be sold out from under you.

Control

No vendor lock-in.

Your data. Your hardware. Your models. Run it on metal you own or infrastructure we manage. Lock it down or leave it open. Root access to the machine is any developer's dream. Your decision, not theirs.

The platform

Four things no competitor has.

  1. 01

    The budget you set is the bill you get.

    Most AI bills by the token. The meter never stops. Xydo bills by the hour and by the resource, so the budget you set is the bill you get.

    A bill that holds for a year, not uncontrolled metering.

  2. 02

    Any model. Any metal.

    Use the models and GPUs you want, running on infrastructure you own or infrastructure we manage.

    Hyperscaler performance on your terms.

  3. 03

    Owned outright.

    Real privacy is ownership. With Xydo you own it outright: the model, the tuning, the data. Enterprise-grade capability without the enterprise overhead.

    Single-tenant AI that's genuinely yours.

  4. 04

    Stand up in minutes.

    Stand up a private instance in minutes. Select the model and GPU, pay for actual usage, and reconfigure on demand.

    One system already wired, configured in minutes, and it's yours to run.

The product

Three ways to work. One sealed environment.

Plugins

Add capability, not vendors.

Install retrieval, research, and RAG add-ons into a project. They run inside your environment, against your data.

Workbench

A real shell on your machine.

Watch the deploy, then keep the terminal. Root access to inspect, install, and tune whatever you like.

# Every project serves its own endpoint.
$ curl https://your-project.compute.xydo.io/vllm/v1/chat/completions \
    -H "Authorization: ApiKey $XYDO_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "gemma-3-27b",
      "messages": [{"role": "user",
                   "content": "Summarise Q3."}]
    }'

API

Point your code at it.

Every project serves on its own OpenAI-compatible endpoint, with keys you issue and revoke yourself.

No upload limits. No token caps. No artificial ceilings, just private AI that scales with you.

Hit delete and it's gone.

The model. The fine-tuning. The memory. All of it. If you cannot erase it, it was never yours to begin with.

Own it

Own your AI outright.

  • Private.
  • Predictable.
  • Instant.
  • Sovereign.