CompanyGPT vs. Langdock: Enterprise AI Platforms Compared 2026

Introduction: Two Philosophies for Enterprise AI

Langdock and CompanyGPT are among the well-known AI platforms for enterprises in the German-speaking market. Langdock, the Berlin-based company with prominent reference customers, positions itself as a “platform for AI adoption.” CompanyGPT by innFactory AI Consulting relies on its own infrastructure in the customer’s cloud rather than a SaaS model.

Last updated: June 2026 – Prices and features can change. The respective current provider information is authoritative; for Langdock conditions, please refer to the Langdock website.

Summary: CompanyGPT by innFactory AI Consulting builds organizations their own AI infrastructure on an open-source basis (LibreChat) in their cloud subscription – with no per-user licenses and no markup on token costs by innFactory. CompanyGPT additionally offers Office file editing (companyFILES), SharePoint integration with permissions (companyRAG), a GDPR-compliant translation service (companyTRANSLATE), n8n workflow automation, and individual AI compliance consulting with an attorney. Langdock is an established SaaS platform with a broad model selection.

This comparison helps you position both approaches.

For an overview of GDPR-compliant ChatGPT alternatives for enterprises, see our foundational article.

The Providers at a Glance

Langdock

Langdock is an AI adoption platform from Langdock GmbH, based in Berlin. The product portfolio includes model-agnostic chat, agents, workflows, integrations and an API. Langdock is hosted in the EU (Microsoft Azure) and, according to its own information, offers access to all leading AI models. On its own website, Langdock names prominent reference customers such as Merck, BASF, Der Spiegel and UNICEF. Deployment options, feature details and conditions are listed on the Langdock website.

CompanyGPT by innFactory AI Consulting

CompanyGPT builds organizations their own AI infrastructure – in their Azure subscription, on AWS, Google Cloud or STACKIT. The basis is open-source components like LibreChat, enhanced with proprietary addons (companyRAG, companyFILES, companyTRANSLATE, companyDASHBOARD). As a partner of all major hyperscalers, innFactory AI Consulting offers hosting at list price, with no markup on token costs.

Comparison Table: CompanyGPT vs. Langdock

The table positions the approaches. For Langdock details, the current provider information is authoritative.

The Decisive Differences in Detail

1. Own Infrastructure from Day 1 vs. SaaS

The most fundamental difference is the operating model. Langdock is operated primarily as SaaS (the provider names further deployment options). CompanyGPT provides dedicated infrastructure from the very first user in your own cloud subscription, with no minimum user counts. For organizations in regulated industries or with strict compliance requirements, this is a decisive advantage.

2. Cost Model: Per-User SaaS vs. Usage-Based

Classic SaaS license models typically bill per user – license costs then scale linearly with the user count. Langdock states its current conditions directly.

CompanyGPT takes a different approach:

• No per-user licenses
• Fixed price for maintenance incl. all addons
• Cloud and token costs at list price – with no markup by innFactory
• n8n workflows included at fixed price

Because the model is independent of the user count, the cost advantage shifts increasingly in favor of CompanyGPT as the employee count grows. For a robust comparison, we recommend calculating the total cost of ownership based on the respective current provider prices and your own usage intensity.

3. Open-Source Innovation Speed

CompanyGPT is built on LibreChat, one of the fastest-growing open-source AI platforms. LibreChat is used in production by companies like MAN Trucks and Shopify, and benefits from a global developer community.

For CompanyGPT customers, this means:

• Fast feature releases driven by the community
• No vendor lock-in – the source code is open and auditable
• Community-driven innovation – new models and integrations are often supported quickly

Langdock is a proprietary platform; features are developed by the Langdock team.

4. Office Files: Productivity in Everyday Enterprise Work

CompanyGPT offers companyFILES, a capability that makes a real difference in day-to-day enterprise operations: not just reading Office files, but also writing them:

• Automatically populate Excel reports
• Generate Word templates (proposals, contracts)
• Create and customize PowerPoint presentations

companyFILES is deeply embedded in the platform via the integrated MCP server and usable directly from the chat interface.

5. SharePoint Integration with Permission Inheritance

For organizations with Microsoft 365 infrastructure, SharePoint integration is critical. CompanyGPT provides a native SharePoint integration via companyRAG that mirrors the organization’s permission structure 1:1. Users can only access documents they are authorized to view in SharePoint.

6. Extensibility: MCP and n8n as Platform Enablers

CompanyGPT was designed as an extensible AI platform:

• MCP (Model Context Protocol): Connect any external service
• Kubernetes: Host your own MCP services
• n8n: Complex workflow automations
• Custom agents: Private or shared with teams/groups

Both platforms support MCP integrations; the provider states the details for Langdock.

More Advantages of CompanyGPT

Rapid Rollout in Your Own Cloud

Setting up a dedicated CompanyGPT environment takes only a few days. innFactory AI Consulting handles the complete setup – you receive a production-ready AI platform in your own cloud without burdening your IT department.

AI Compliance with Specialized Attorney Included

CompanyGPT is operated in the cloud infrastructure of the hyperscalers (Azure, AWS, GCP) or STACKIT. CompanyGPT’s own compliance USP lies in the bundled service: an individual AI policy, AI compliance consulting with specialized IT-law attorney Andreas Nörr, and employee training – added value that is typically not included with a pure platform solution.

companyTRANSLATE: Translation Service Included

A full translation service like Google Translate or DeepL – but GDPR-compliant via Azure Cognitive Services. It solves a concrete everyday problem and increases platform adoption.

companyDASHBOARD: More Than Usage Statistics

companyDASHBOARD delivers actionable recommendations: Who should be trained? Which models are used most? How is AI adoption progressing?

All Frontier Models Without Markup

innFactory AI Consulting provides Claude, GPT and Gemini via Azure, GCP and AWS. All models are operated in full GDPR and EU AI Act compliance – token costs at the cloud provider’s list price, with no markup by innFactory.

Training Always Included

With CompanyGPT, training is always included – so your team can use the platform productively from day one.

Conclusion: Two Approaches, One Decision Based on Requirements

CompanyGPT is the choice for organizations that want to deploy AI strategically and in their own cloud:

• Own infrastructure from day 1 in the cloud of your choice
• No per-user license model and no markups on token costs by innFactory
• Actively create and edit Office files (companyFILES)
• SharePoint integration with permissions (companyRAG)
• Extensibility through MCP, n8n and Kubernetes
• AI compliance including legal counsel and training included

Langdock is an established SaaS platform with a broad model selection and strong reference customers – a sensible option for organizations that prioritize a fast SaaS rollout. Which platform fits better depends on data sovereignty, cost model and feature requirements. The respective current provider information is authoritative.

From 10 to 12,000 users, innFactory AI Consulting has already built CompanyGPT environments and manages them on an ongoing basis.

Further Reading

• ChatGPT in Business: Why Your Path Should Lead to CompanyGPT, Not OpenAI
• LibreChat vs. Open WebUI vs. Copilot: Which AI Platform Is Right?
• GDPR-Compliant Private GPTs for Enterprises
• Unleashing AI Potential, Eliminating Data Risks
• When Do I Need an AI Officer?