Locally hosted and controlled
Run Seed AI on a GPU-enabled Windows Server managed by your organization and located inside your own environment.
Self-Hosted AI Platform
Private AI Your Network. Your Control.
Give your team a company-approvn AI workspace powered by locally hosted platform without sending every prompt, document, and conversation to an outside provider.
Local GPU and LLM Optional API tools Built for business teams
Seed AI Private Workspace
Self-Hosted
Your Business
Private AI environment
AI Models
Users
Knowledge Bases
AI Agents
Tools
Chat History
Local-First Data Control
Keep your AI platform under your control.
Many AI platforms require every prompt, document, and conversation to be processed on infrastructure controlled by an outside provider.
Seed AI takes a local-first approach. Your GGUF models run on your own GPU-enabled Windows Server, and your documents, knowledge bases, users, and chat history remain inside your environment.
Optional API tools can be enabled when your business needs them. Your administrators decide which services are available and what information may be sent to them.
Learn more about local private AIWhy Seed AI?
Local AI at the core.
Control where it connects.
Run your own LLMs
Upload supported GGUF models and run inference locally on your own GPU hardware.
Built for business teams
Manage users, roles, and permissions so each person has access to the right models, agents, and information.
Private knowledge bases
Upload internal documents and let your team query approved company knowledge in plain language.
Custom agents and tools
Build agents for specific teams and workflows. Add local capabilities or approved API tools as needed.
One-time software purchase
Purchase the software and run it on your infrastructure. Optional support and updates are available.
Your Network Local AI environment
GGUF Models Documents Users AI Agents Optional API Tools Chat History
Controlled Connectivity
Keep local work local. Approve outside connections when needed.
Seed AI gives your staff a company-approved AI workspace powered by locally hosted models. When an agent needs an external service, optional API tools can be configured and controlled by your administrators.
Local GPU inference Locally stored GGUF models Private document storage Internal chat history Administrator-controlled API tools Role-based access
Explore Private AI
Deployment Process
How Seed AI works.
From server planning to launch, Seed AI can be deployed in five clear steps.
Plan your GPU server
Tell us which models you want to run. We can provide the appropriate server, GPU, memory, and storage specifications.
Install Seed AI
Install Seed AI on your Windows Server with assistance for IIS, GPU drivers, application setup, and testing.
Upload GGUF models
Add supported GGUF files through the model manager and configure how each model uses your GPU resources.
Configure users and tools
Set up permissions, agents, prompt templates, knowledge bases, and approved API connections.
Train your team and launch
Train your staff, establish company AI policies, and begin using Seed AI throughout your organization.
Bring AI In-House
Local AI. Controlled connections.
Give your team practical AI tools while keeping your models, documents, knowledge bases, users, and core AI workspace on infrastructure your company controls.