CompanyGPT as a Langdock Alternative 2026: The Comparison for Decision-Makers

OMR 2026 in Hamburg is putting Langdock in the spotlight. The Berlin-based company presents itself as “The Platform for AI Adoption” for the mid-market and enterprise customers. Many IT decision-makers and executives are now researching which AI platform is the right choice for their organization. At the same time, the search for a Langdock alternative is growing, as companies with their own cloud strategy look closely at which operating and cost model matches their requirements.

This article compares CompanyGPT and Langdock on a factual basis across the relevant dimensions: operating model, deployment, feature scope, data privacy and extensibility. The goal is to provide decision-makers with a solid foundation for choosing the right AI platform.

Langdock at a Glance

Langdock has built a strong market position since its founding. On its own website, Langdock names prominent reference customers such as Merck, BASF, Der Spiegel and UNICEF. Langdock is hosted in the EU (Microsoft Azure) and, according to its own information, offers access to all leading AI models. The platform offers flexible deployment options (managed cloud, own cloud, on-premise). Langdock states current conditions and feature details on its own website.

This is a solid offering. The difference to CompanyGPT lies less in “better or worse” than in the fundamental approach: Langdock is primarily a SaaS platform, whereas CompanyGPT is built as dedicated infrastructure in the customer’s cloud — with no per-user licenses and with integrated legal and compliance consulting.

CompanyGPT vs. Langdock: The Key Facts at a Glance

The following comparison table positions the two approaches. For Langdock details, the provider’s respective current information is authoritative.

The Decisive Difference: No Per-User License Model

CompanyGPT fully dispenses with per-user licenses and instead uses a predictable fixed-price and maintenance model that is independent of the number of users. Setting up the complete platform in the customer’s own Azure tenant includes full installation, configuration, an individual AI policy for the EU AI Act and employee training. Optionally, a maintenance contract can be signed covering updates, support and all extensions such as MCP servers and the Agent Marketplace. We share specific prices on the product page or on request.

Classic SaaS license models, by contrast, typically bill per user — meaning license costs scale linearly with the number of users. With CompanyGPT, running costs consist exclusively of infrastructure and token consumption, billed at the cloud provider’s list price. Especially as the user count grows, the cost advantage shifts increasingly in favor of CompanyGPT. For a robust decision, we recommend calculating the total cost of ownership based on the respective current provider conditions and your own usage intensity.

A Dedicated Environment of Your Own from Day 1

CompanyGPT is always operated in the customer’s own Microsoft Azure tenant, fully automated via Kubernetes (AKS). Every customer receives their own, fully isolated environment from the start — independent of company size and with no minimum user count.

With CompanyGPT, documents, chat histories and knowledge bases are stored and processed in the customer’s cloud environment. The AI inference itself runs over contractually secured model endpoints of the hyperscalers (Azure OpenAI, AWS Bedrock, Vertex AI) in EU regions with zero-data-retention agreements. This keeps the data under the customer’s control, without innFactory as a consulting company accessing it.

Optionally, STACKIT is available as a sovereign German cloud alternative that is entirely based on European infrastructure — particularly relevant for healthcare, financial services and the public sector.

companyFILES: Create Documents, Not Just Analyze Them

Via companyFILES, CompanyGPT users can create and analyze complete Office documents directly from the chat interface. This includes Excel spreadsheets with formulas and formatting, Word documents with table of contents and paragraph formatting, PowerPoint presentations with slide structure, PDF files and CSV exports.

The productivity advantage is substantial. A sales representative can have a proposal template created as a Word document via natural language. A controller can request a financial overview as a formatted Excel spreadsheet. A project manager can generate a status report presentation. companyFILES is deeply embedded in the platform via the integrated MCP server.

According to its own information, Langdock also offers Office document creation. For the exact feature scope, please consult the provider’s website.

companyDASHBOARD: Full Transparency on Usage and Costs

With the companyDASHBOARD, CompanyGPT offers detailed usage statistics, token consumption broken down by individual users and models, model evaluations and a complete cost overview. This transparency is particularly important for companies that need to justify their AI spending to the executive board or controlling department.

MCP Servers, n8n and Agent Marketplace: Extensibility

An AI platform reaches its full potential only when it can be integrated into existing systems and workflows. CompanyGPT consistently relies on open standards and the Model Context Protocol (MCP) and offers an Agent Marketplace through which companies can deploy pre-built and custom agents. Integration with n8n enables low-code automation for complex business processes.

Additional features include SharePoint integration for accessing enterprise data via companyRAG with permission mirroring, web search with source references via Perplexity AI, reminder functions, Mistral OCR for text recognition in images and scans, and companyTRANSLATE for professional translations. With CompanyGPT, these extensions are included in the maintenance contract.

Token Costs Directly via Your Own Cloud

With CompanyGPT, token costs run directly through the customer’s own Azure or Google Cloud account. There is no intermediary and no markup by innFactory; with Langdock, according to the provider, token costs are included in the subscription prices. Billing is transparent, and the customer benefits from the respective current prices of the cloud providers, including any volume discounts or reserved capacity agreements. Anyone sourcing the models directly via their own cloud subscription retains full cost control and can use existing framework agreements with the hyperscalers.

Model Variety: OpenAI, Claude, Gemini, Llama and More

Both platforms are model-agnostic and support a wide range of AI models. CompanyGPT supports, among others:

• OpenAI GPT-5.6 (in the EU data zone GPT-5.4/5.5) via Azure AI Foundry
• Google Gemini 3.5 via Vertex AI
• Claude (Anthropic), e.g. Opus 4.8, via Vertex AI or AWS Bedrock
• Llama and GptOSS120 via STACKIT
• Perplexity AI for source-based web research
• Google Nano Banana for image generation

The models run directly on the customer’s cloud infrastructure. Langdock, according to its own information, offers access to all leading models via a unified interface.

GDPR and EU AI Act: Compliance with Legal Consulting

Data privacy and regulatory compliance are non-negotiable for European companies. Both platforms are GDPR compliant and hosted in the EU.

CompanyGPT sets a different focus: the platform is operated in the customer’s own cloud, and innFactory delivers within the setup price an individual AI policy as well as AI compliance consulting with an IT-law attorney and employee training. Documents, chat histories and knowledge data are stored and processed in the customer’s Azure or STACKIT environment. This architecture supports the requirements of the GDPR, the EU AI Act and industry-specific regulations such as medical confidentiality under Section 203 of the German Criminal Code.

Langdock and the US CLOUD Act: How German Is Langdock Really?

Around OMR 2026, Langdock is frequently perceived as a German AI platform. Formally, that is correct: the operating company is Langdock GmbH, based in Berlin. When it comes to genuine data sovereignty, however, a closer look at the ownership and control structure is worthwhile.

Langdock is a startup from the Y Combinator program (batch S23) and is predominantly financed by US venture capital investors, including Y Combinator itself, General Catalyst and La Famiglia. As is common for Y Combinator startups, a US holding company (a typical Delaware structure) usually sits above the operating German GmbH; a stronger US orientation, including a possible US office, was publicly considered in 2025.

For data privacy and digital sovereignty, this point is decisive. Providers controlled by a US holding potentially fall under the US CLOUD Act. It obliges companies subject to US law to grant US authorities access to stored data upon order – regardless of whether the servers are located in the USA or in the EU. Purely physical data storage in an EU data center is, in this case, not sufficient to rule out access by US authorities.

Exactly this tension between the GDPR and the CLOUD Act is one of the most important reasons in 2026 why European companies scrutinize the control structure of their AI providers.

CompanyGPT takes a fundamentally different approach here. The platform is operated in the customer’s own Microsoft Azure tenant or, optionally, on the fully sovereign German STACKIT cloud. There is no US-controlled intermediary routing or processing data. The data remains within the infrastructure controlled by the customer, and innFactory, as a German consulting company, never has access to it. For companies in regulated industries – healthcare, financial services, public administration – this architecture is the decisive difference between formal GDPR compliance and genuine data sovereignty.

Who Is CompanyGPT the Right Choice For?

CompanyGPT is particularly suited for the following requirement profiles:

• Companies of any size that want full control over their data in their own cloud — with no minimum size and no seat-based tiers.
• Organizations that do not want a per-user license model and prefer predictable costs that are independent of the user count.
• Teams that want to create Office documents via AI and not just analyze them (companyFILES).
• Companies with existing Microsoft Azure infrastructure that want to integrate CompanyGPT seamlessly.
• Organizations that expect AI compliance including legal consulting (attorney) and training from a single source.

Conclusion

Langdock is an established SaaS platform with strong reference customers and EU hosting — a good choice for organizations that prioritize a fast SaaS rollout.

CompanyGPT is the obvious alternative for companies that want data sovereignty in their own cloud, a cost model independent of the user count, and integrated compliance consulting with an attorney in one package. Features like companyFILES, companyDASHBOARD, companyRAG (SharePoint with permission mirroring) and the n8n integration are included in the maintenance contract.

Anyone looking to make an informed decision after OMR 2026 should compare both solutions against their own requirements and consider the total cost of ownership over 12 to 24 months. The respective current provider information is authoritative.

Request a free demo now

Tobias Jonas is Founder of innFactory AI Consulting GmbH and innFactory GmbH, Microsoft Cloud Solution Provider and Google Cloud Partner. Tobias attended OMR 2026 as a guest and advises companies on secure AI adoption. LinkedIn profile