Individual Users
Give employees their own accounts, settings, permissions, and conversation history.
AI is quickly becoming part of daily work. Employees use it to summarize documents, draft communications, research information, analyze data, review contracts, write content, develop software, and solve problems faster.
Seed AI provides a centralized, multi-user AI platform that runs inside infrastructure controlled by your business. Your organization manages the users, locally hosted models, company documents, private knowledge bases, AI agents, tools, chat history, and system configuration.
Local AI processing can remain inside your environment while approved APIs, MCP connections, and outside services can be enabled when your business chooses to use them.
Employees do not have to intentionally disclose confidential information for it to appear in an AI conversation. Business context naturally becomes part of prompts, uploaded files, questions, summaries, and AI-generated work.
Private AI gives your organization a controlled environment for locally processed conversations, documents, company knowledge, users, and AI models rather than leaving employees to choose their own collection of public AI tools.
Public AI services can be useful, but uncontrolled AI use can make it difficult for a business to establish consistent policies, manage access, retain company work, and understand how employees are using AI.
As AI becomes more important to daily operations, businesses need the same kinds of control they expect from other company systems.
Seed AI is designed as a centralized multi-user business application. Employees access the platform through individual accounts while sharing approved AI models, tools, agents, and company knowledge.
Give employees their own accounts, settings, permissions, and conversation history.
Host models centrally so authorized employees can use the same private AI infrastructure.
Control access to models, agents, tools, knowledge bases, and administrative functions.
Configure different AI resources for management, sales, operations, support, development, and other teams.
Give approved users access to centralized company knowledge without maintaining separate copies for every employee.
Keep conversations associated with individual users inside the Seed AI environment.
Manage the AI environment from one administrative system rather than configuring every workstation.
Size GPU infrastructure around expected simultaneous use and expand capacity as AI adoption grows.
Locally hosted models, documents, private knowledge bases, user information, and chat data operate inside infrastructure controlled by your business.
Optional APIs, MCP servers, and external services can be enabled when your organization wants AI to interact with outside systems.
Seed AI is self-hosted on your organization's server infrastructure. Local language models run on your GPU hardware, and the Seed AI application operates within your environment.
Employees can chat with locally hosted models, upload documents, search private knowledge bases, and use internal agents without requiring every request to be sent to a public AI provider.
When an approved agent or tool intentionally calls an external API or service, the information required for that request may be transmitted to that service. Your business controls which connections are configured and available.
Seed AI gives administrators one place to configure the users, models, knowledge, agents, tools, integrations, and policies that make up the company's AI environment.
Seed AI lets your business upload approved internal documents and make company information searchable through the AI workspace.
Employees can ask plain-language questions and receive answers based on policies, procedures, contracts, manuals, product information, training materials, and other approved internal content.
Knowledge bases can also be assigned to specific AI agents or made available only to appropriate users and roles.
“What is our cancellation policy?”
“Summarize this contract.”
“What are the steps for onboarding a new client?”
“What services do we offer for this customer?”
“Find the warranty language in our documents.”
“Draft a response based on our internal procedure.”
“What does our employee handbook say about this?”
Seed AI lets you create specialized agents for departments, roles, recurring work, and internal business processes.
Each agent can have its own instructions, prompt templates, approved tools, model, and assigned knowledge bases. Agents can be configured for simple question-and-answer work or extended to interact with approved business systems and services.
Seed AI agents can be given approved tools that allow them to retrieve information, query internal systems, call APIs, work with databases, or interact with other business applications.
Your organization controls which connections are configured and which agents or users are permitted to use them.
Seed AI supports compatible GGUF models, allowing your business to select locally hosted models based on capability, speed, hardware requirements, and the work your employees need to perform.
Different models can be used for different purposes. A smaller model may provide faster responses and greater multi-user capacity, while a larger model may be selected for tasks that require stronger reasoning.
Your GPU environment can also be expanded over time as your organization adopts larger models or increases simultaneous AI usage.
Run local AI models, build private company knowledge, manage users and permissions, create specialized agents, connect approved business systems, and provide employees with one centrally managed AI workspace.