Tier 1

The layer under everything you do with AI

Orbit positions as an AI operating system: the shared layer that manages models, memory, files, sandboxes, and execution so every AI-powered workflow runs on the same foundation. One login, one project model, one set of artifacts.

AI Operating System

Under the hood Orbit is an OS for AI work — a build engine, a research engine, a media engine, and a memory system all coordinated by one planner. That shared foundation is why a build can reuse research findings and a chat can invoke build tools.

In plain English

An AI operating system is the foundation under everything: Orbit manages the models, files, memory, and sandboxes so every AI-powered workflow runs on the same rails — one login, one place for your work.

AI Operating System — build, chat, research, and create media in one AI workspace on Orbit
Orbit positions as an AI operating system: the shared layer that manages models, memory, files, sandboxes, and execution so every AI-powered workflow runs on the same foundation. One login, one project model, one set of artifacts.

How it works in Orbit

Orbit calls itself an operating system because the layers beneath your workflows — models, memory, execution, files — are shared infrastructure. That shared foundation is what lets capabilities compose.

A shared foundation under every workflow

Most AI tools are single-purpose apps with their own storage and prompts. Orbit instead provides one foundation: a model router, a project memory, a file system, and sandboxed execution. Anything built on that foundation automatically works with everything else.

Capabilities that compose

Because the OS layer coordinates the engines, a build can reference research findings and a chat can invoke build tools. This is the practical difference between a suite of apps and an OS: no glue code, no copy-paste, no context lost between steps.

One project model for everything

Projects unify files, previews, database state, and conversation history. The OS layer keeps those artifacts consistent, so the preview reflects the latest code and the database state survives reloads.

Built to extend

An OS is a platform. Orbit exposes MCP tools, skills, and sandboxed execution, so your own workflows — custom prompts, integrations, internal automations — run on the same rails as the built-in engines.

  1. Create a project

    Your project becomes the shared context for models, files, and artifacts.

  2. Use any capability

    Chat, build, research, or generate media — all on the same foundation.

  3. Watch capabilities compose

    Research feeds builds; chat invokes tools; artifacts stay linked to the project.

  4. Extend with MCP and skills

    Add your own tools and routines on the same infrastructure.

The challenge

Try it yourself

Run this one on a competitor first — then on Orbit. Same prompt, and keep score.

Build

Try this one elsewhere first.

String together a chat, a build, and a research task across separate tools, then do it in Orbit. Compare how much "glue work" you have to do yourself.

Research

Ask a research tool to go deep on one topic.

Then ask Orbit. Compare how many rounds it runs, how many sources it actually reads — we target 65+ — and whether every claim in the final report has a link attached. Bring a bigger coffee mug.

Chat

Ask a plain chatbot the same question.

One just talks. Orbit's agent actually searches the web, runs code, reads your files, and comes back with something done. Compare how many tabs you opened and how many are still open when you're finished.

Image & video

Generate the same image, then edit it.

Ask two tools for the same hero shot, then ask both to recolor it, fill in the background, and animate it. Compare who hands you a first draft and who keeps refining in the same conversation.

150+

models routed per task

1h

cloud sandbox sessions

25

tool calls per chat turn

8–14

deep research rounds

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Frequently asked questions

What does 'AI operating system' mean for Orbit?

It means Orbit provides the shared infrastructure — models, memory, execution, files — that all your AI workflows run on, so capabilities compose instead of living in disconnected apps.

Is Orbit a replacement for my existing tools?

For AI workflows, yes. Orbit unifies the chat, coding, research, and media tools you'd otherwise run separately, and it keeps every artifact in one project graph.

How do Orbit's capabilities share context?

A build can reuse research findings, and a chat can invoke build tools, because every capability runs on the same planner, memory, and artifact graph rather than isolated silos.

Does Orbit manage my files and storage?

Yes. Projects persist files, environment configs, and database state in sandboxes, and the OS layer keeps them synchronized with the preview and the app runtime.

Is the infrastructure visible to me?

Partially. You can inspect sandbox files, environment variables, and build logs, while the OS layer handles the coordination automatically underneath.