Knowledgebase + AI Workspace
Connect knowledge once. Put it to work in chats, agents and automations. With the context you need and the control you expect.
Company context for your teams’ AI tools – through API and MCP
ChatGPT
Claude
Gemini
GitHub Copilot
Mistral AITwo products. One knowledge advantage.
Start with the Knowledgebase. Put your knowledge to work in your existing AI tools or add the integrated AI Workspace.
The standalone foundation
Connect your sources. Keep knowledge current. Find reliable context, with an integrated wiki and the right access controls.
The integrated extension
Turn context into results with model choice, agents and automations in one centrally managed workspace.
The complete stack
Your sources stay connected. Your knowledge becomes usable. People and agents work from the same foundation.
Context makes the difference
Your AI should not start from scratch. Your company does not.
Current documents, established decisions and internal expertise give AI work its foundation. CogLake makes that knowledge accessible, discoverable and useful to the right people and agents.
Explore the shared foundationAI Workspace
From the first conversation to a recurring task: shared context, clear permissions and results you can inspect.
An agent researches, checks sources and prepares a grounded draft. You decide what happens next.
A personal agent works with its workspace and prepares recurring updates on the topics that matter to you.
A trigger starts the task. Tools carry out permitted steps. Approvals keep you involved in consequential actions.
Summarize the changes to our product offering and prepare a customer briefing.
Read authorized product documents and current notes from the wiki.
Create a sourced briefing and make it available for review.
Control throughout the workflow
A consistent governance model for your knowledge and AI work, from the first lookup to the action that follows.
Source and workspace permissions determine which information an employee or agent may retrieve.
Approve providers, MCPs and skills. Decide which personal extensions are allowed.
Approval modes, allow/deny rules and audit make agent work inspectable.
Model freedom
Centrally provided models, your own API keys or your own inference: choose how your organization works with AI. Keep the shared knowledge foundation.
Models and providersChatGPTClaudeGeminiMistral AIBenchmark-tested retrieval quality
Public datasets and recorded tests make retrieval quality, source permissions and index consistency inspectable.
Good to know
No. The Knowledgebase can be purchased and used independently, including its search, wiki and authorized API/MCP access. AI Workspace is an optional integrated extension.
Chat is for direct conversations. Agent Mode handles multi-step tasks. A personal agent retains its workspace and memory for ongoing work. Automations start defined tasks on a schedule or event.
If company policy allows it, employees can add personal API keys and resources. Administrators can restrict provider access and offer centrally managed connections instead.
That depends on the selected approval mode, allowed and denied actions, and organization policies. Required approvals appear in the conversation; central restrictions cannot be bypassed by the user mode.
The AI Workspace is an additional product. Its commercial scope and model usage are agreed separately. BYOK usage is billed by the connected provider under your own agreement.
Your next step
Knowledgebase on its own or with AI Workspace: find the right starting point for your organization.
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