Back to More & MoreMore & More

Own your AI
stack.
Top to bottom.

Build with AI without giving up control. Your code and your infrastructure stay yours, so you're never stuck depending on one company to keep working.

Doppio is in active development.

Talk to us about Doppio
Doppio · a suite of three developer tools

$ doppio deploy
private models · your infrastructure

$ doppio code
your model · your client

$ doppio run
isolated · disposable

Concept preview — interfaces in development

Control over the whole stack.

Reliability

When a hosted provider has an outage, a team depending on it has to wait. Private deployment gives you control over where your models run.

Transparency

Your code and your clients’ data deserve an environment you can inspect. Doppio is being built around private models and a transparent client.

Isolation

AI-assisted code needs somewhere separate from your real work and credentials. Disposable workspaces contain the effects of a bad step.

It all comes down to privacy. Your code, your clients’ data, and your credentials should stay under your control. Doppio is being built to keep all three on infrastructure you own.

Three pieces.
One stack.

Doppio Deploy

Deploy AI models privately with one click. Use open-source models, a cloud server, or your own hardware. You don’t have to piece together the technical setup yourself, it’s already handled for you.

Private models on your infrastructure

Doppio Code

A transparent coding client for your privately deployed models. Work in an environment you can inspect, with control over where inference runs and how your code is handled.

Your model. Your client.

Doppio Run

A temporary, disposable workspace. Write code on your own machine, but run it somewhere separate. Once it’s done, that environment is wiped, so if an AI agent ever misbehaves, the damage stays contained and disappears with it.

Concept in development

One console for private models.

Pick an open-source model, pick where it runs, and deploy. Your team can see what’s running and where, at a glance.

Doppio Deploy — illustrative interface, in development
Example model deployments
ModelTargetStatus
llama-3.1-70bPrivate VMRunning
qwen2.5-coderOn-premiseRunning
deepseek-r1Not deployedIdle

Need this for your team?

If private, trustworthy AI development is a problem you're trying to solve, tell us about it. We'll take it from there.

Contact us about Doppio