The difference is the foundation
CogLake vs.
ChatGPT Business / Enterprise
Your company knowledge should not depend on one model provider. CogLake makes it a reusable foundation for chats, agents and other AI interfaces.
- German company
- EU server locations
- Auditable AI actions
Why choose CogLake
Three differences that matter at work.
Choose models without moving your knowledge.
Use different model families and economical open-weight models in one workspace. Your company context stays in CogLake when you change providers.
Build knowledge, not just conversation history.
Automatic source sync and an integrated wiki create a maintained foundation. Other AI applications can use it through MCP, without requiring CogLake’s chat interface.
Give agents rules that follow the work.
Manage model, MCP, tool and skill access centrally. CogLake connects those policies to source permissions, action approvals and audit logs across agent workflows.
Side by side
What your company actually gets.
One criterion per row. First the knowledge foundation, then AI capabilities and control.
- Available
- Plan / integration dependent
- Different scope / not documented
| What matters | CogLakeKnowledgebase + AI Workspace | ChatGPT |
|---|---|---|
| Retrieval | Available: Hybrid search, graph context, reranking | Available: Search across connected apps |
| Source synchronization | Available: Automatic connector sync | Available: Sync for supported apps |
| Built-in wiki | Available: Company + personal; editable by AI | Different scope / not documented: Projects and conversations |
| Knowledge via MCP | Available: Standalone Knowledgebase for other AI clients | Different scope / not documented: No standalone knowledge MCP service |
| Model choice | Available: 100+ models, including economical open weights | Different scope / not documented: OpenAI models |
| Bring your own key | Available: BYOK + local models (Ollama / vLLM) | Different scope / not documented: No general multi-provider BYOK |
| 24/7 agents & triggers | Available: Server-side schedules and events; memory, permissions and budgets apply | Available: Tasks and agentic workflows |
| Browser & execution | Available: Isolated browser + persistent agent workspace | Available: Browser and code execution |
| Data permissions | Available: Granular roles, workspaces and source access | Available: Source access; RBAC varies by plan |
| Central skills & plugins | Available: Company library, role-based releases, personal installation policies and audit | Available: MCP, skill and action controls |
| Hosting options | Available: EU-hosted application + on-premises option | Plan / integration dependent: OpenAI cloud; residency by plan |
| AI usage | Available: €9/user/month included with AI Workspace | Available: Plan allowances and usage limits |
European hosting. Control over your AI data.
CogLake offers EU application hosting and on-premises operation without requiring Azure, AWS or Google Cloud. For models provided by CogLake, CogLake manages the provider connections. Processing location and No-Retention terms depend on the model offering and provider agreement. With BYOK, the customer organization connects its own provider account; locally hosted models can run on its own infrastructure.
Sources: OpenAI · Apps and connectors · OpenAI · Work admin FAQ · OpenAI · Usage limits.
Reviewed: . Editorial comparison by CogLake. Product scope and availability depend on plan and configuration.
Results and methodologyThe important distinction
Keep the knowledge. Change the model.
Connecting a new assistant should not mean building your knowledge base again. CogLake exposes the same authorized context through its workspace, API and MCP interface, so your knowledge investment outlasts a model choice.
- Connect knowledgeSources + integrated wiki
- Apply your rulesPermissions + action policies
- Put AI to workChat + agents + automations
Governance beyond a role dropdown.
Source permissions are checked before retrieval. Central model, MCP, tool and skill policies also apply to agents. Allow/deny rules and approvals govern actions; audit logs make decisions and execution traceable. These are practical building blocks for GDPR and EU AI Act compliance work.
Our conclusion
Choose CogLake for independence with company-wide control.
CogLake fits companies that want one governed knowledge layer and the freedom to choose models, inference providers and deployment. It joins company context and autonomous execution without making OpenAI the required provider for both.
The trade-off
If your company deliberately standardizes on OpenAI and does not need a separate knowledge product, a ChatGPT plan can be a simpler purchase. CogLake adds value when that independence is a requirement.