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Nebula Cloud Studio

Studio for local, cloud and controlled environments. Desktop and Workbench are available now; Web and Appliance are coming soon.

Learn about Studio Desktop Explore Studio Workbench

Editions

Choose your interface to the platform.

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Studio Web

Coming Soon

Browser-first SaaS access to Nebula Cloud Studio with collaborative access to Studio capabilities.

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Studio Desktop

Installable Windows application with local AI inference, offline-capable execution, and full Capability Pack access.

Learn about Studio Desktop

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Studio Workbench

Nebula Cloud Studio pre-installed in a persistent Nebula Cloud compute environment for GPU-accelerated and domain workloads.

Explore Workbenches

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Studio Appliance

Coming Soon

Dedicated Nebula Cloud Studio deployment for on-premise, sovereign, offline and air-gapped environments, with local AI and local data execution.

Real Evidence

See it in action.

Nebula Cloud Studio Desktop — Design. Simulate. Explain. Execute. AI-powered engineering with natural language.

Core Capabilities

Consistent across all editions.

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AI Copilot

Intent-driven execution with natural language. Describe what you need, Studio delivers.

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350+ Capabilities

Access all capability packs across AI, engineering, spatial, and scientific domains.

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200+ Tools

Integrated toolchain spanning the entire engineering and AI workflow.

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Verified Outputs

Every execution produces integrity-verified, reproducible artifacts.

Interaction Modes

Three ways to work with Studio.

Choose the interaction depth that matches your task — from learning to full autonomous execution.

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Explain-It

Studio explains how to accomplish the task — tools needed, steps involved, expected outputs — without executing. Ideal for learning workflows and validating approach before committing GPU resources.

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Do-It

Studio plans and executes the task end-to-end: selects tools, provisions compute, runs the workflow, verifies outputs, and delivers the artifact. The default mode for production work.

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Vibe

Conversational exploration of ideas before committing to a direction. Brainstorm approaches, compare tradeoffs, and iterate on requirements — then switch to Do-It when ready to execute.