Run AI on your Mac. Keep your business data private.
Greenative Studio lets you run Local LLM with your files and tools — without sending sensitive data to cloud AI services by default.
No Python. No Homebrew. No command-line model setup.
Start local. Keep costs predictable. Connect business data when your team is ready.
Pro plan : US $18/month - Apple Silicon Mac (M1–M5)
Fixed monthly or yearly pricing. No token-based consumption for local processing.
Not every AI workflow belongs in the cloud
Cloud AI is powerful, but not every workflow should depend on it.
Business documents, customer data, internal files, and database workflows often require more control over where data goes.
Greenative Studio gives you a local-first environment for running AI workflows on your Mac.
What you can do
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Run supported local LLMs (Gemma, Phi, Mistral) on Apple Silicon Macs
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Set up local AI workflows without Python, Homebrew, or command-line model servers
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Work with private files
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PDF to PPTX Conversion
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Build and test tool-calling workflows
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Use bundled MCP servers
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Fine-tune supported models locally with your own data
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Connect Greenative Platform when business data access is needed
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Use commercially usable open-source models with permissive licenses
Running tools locally with Greenative Studio
Manage Gemma, Phi, and Mistral models on the console.
Local first by default
Greenative Studio is designed for sensitive work.
Your prompts, files, local workflows, and fine-tuning data do not need to be sent to cloud AI services. External APIs, tools, or MCP servers are only used when explicitly configured.
Fine-tuned models can also stay on your Mac. This helps reduce the risk of exposing not only your source data, but also the model artifacts created from that data.
Greenative Studio supports only commercially usable models with permissive open-source licenses, such as Apache License 2.0 and MIT License, so teams can evaluate local AI workflows with clearer commercial-use expectations.
Extend to business workflows
Greenative Studio can be used on its own as a local AI workbench.
When your workflows need access to shared business data, Greenative Studio can connect to Greenative Platform through greenative.mcp.
Greenative Platform extends Greenative Studio with access to databases, cloud storage, and internal systems.
Available options:
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SaaS — managed, browser-based access for teams that can securely connect selected data sources
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Dedicated instances — customer-specific deployments for selected organizations with stricter isolation or governance requirements
Built for professionals
Developers
Test local models, tool calling, MCP servers, and private code workflows.
Consultants
Work with client documents and private analysis workflows without relying on cloud AI by default.
Small teams
Start with local AI workflows on Mac, then connect shared business data when needed.
FAQ
Do I need Greenative Platform to use Greenative Studio?
No. Greenative Studio can be used on its own as a local AI workbench.
Greenative Platform is optional and adds access to shared business data sources such as databases, cloud storage, and internal systems.
Does Greenative Studio send my data to cloud AI services?
Not by default. Greenative Studio is local-first.
Data may be sent outside your Mac only when you configure external APIs, tools, MCP servers, or cloud services.
What is greenative.mcp?
greenative.mcp is an MCP server that connects Greenative Studio to Greenative Platform for business data workflows.
Is Greenative Studio a replacement for ChatGPT or Claude?
No. Greenative Studio is not another general-purpose cloud AI chat app.
It is a local-first AI workbench for Mac, focused on private workflows, local models, tool calling, and MCP-based integrations.
What Mac do I need?
Greenative Studio is designed for Apple Silicon Macs (M1 ~ M5). Performance depends on your Mac model, memory size, selected model, and workflow complexity.
Is there a free trial?
Yes. You can try Greenative Studio on your Mac before subscribing.
The free trial is designed to help you check local model performance, supported workflows, and compatibility with your Mac.
