The Best Langdock Alternative 2026: CompanyGPT in a Direct Comparison

OMR 2026 in Hamburg is putting Langdock in the spotlight. The Berlin-based company presents itself as an AI adoption platform for mid-market and enterprise customers. Many IT decision-makers and executives are now researching whether Langdock is the right choice for their organization. At the same time, the search for a Langdock alternative is growing, as many companies discover upon closer inspection that the per-user license model and the SaaS model do not match their requirements.

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

Why Companies Are Looking for a Langdock Alternative in 2026

Langdock has built a strong market position since its founding. With customers like Merck, Der Spiegel and Personio, the company demonstrates that its platform works in practice. Its presence at OMR 2026 further increases visibility.

Nevertheless, there are good reasons why companies are looking for a Langdock alternative. The first reason is the cost model. Langdock charges monthly per-user licenses that quickly reach five-figure amounts as the user count grows. The second reason is the deployment model. By default, Langdock offers multi-tenant SaaS where data resides on Langdock servers. Dedicated infrastructure is only available from 1,000 seats, bring-your-own-cloud from 2,000 seats, and on-premise from 5,000 seats. The third reason is token billing. Langdock charges a 10 percent markup on all AI model tokens.

For companies that need full data control, predictable costs and a dedicated environment from day one, CompanyGPT is the logical alternative.

CompanyGPT vs. Langdock: The Key Facts at a Glance

The following comparison table summarizes the most important differences between CompanyGPT and Langdock.

No Monthly License Fees, Not Even for 1,000 Users

The biggest difference between CompanyGPT and Langdock lies in the cost model. Langdock uses a classic per-user license model. In the Business plan, each user costs from 23.20 EUR per month with annual billing. At 250 users, that already amounts to approximately 5,800 EUR per month just for base licenses. At 1,000 users, even with volume discounts from 12.80 EUR per user, license costs alone can reach up to 15,000 EUR per month. On top of that come workflow packages starting at 449 EUR per workspace per month, and the 10 percent markup on all AI model tokens. Current prices can be viewed on the Langdock pricing page.

CompanyGPT takes a fundamentally different approach. License costs are 0 EUR. The complete platform setup in the customer’s own Azure tenant costs a one-time fee of 14,990 EUR. This includes full installation, configuration, an individual AI policy for the EU AI Act and employee training. Optionally, a maintenance contract can be signed for 399 EUR per month, covering updates, support and all extensions including MCP servers and the Agent Marketplace.

The monthly running costs with CompanyGPT consist exclusively of infrastructure and token consumption, billed directly by the cloud provider. There is no markup by innFactory. At 250 users with average usage, monthly costs are approximately 600 EUR. At 1,000 users, they rise to approximately 1,200 EUR.

A concrete example illustrates the difference: A company with 500 employees pays Langdock around 9,000 to 10,000 EUR monthly just for user licenses in the Business plan, before a single workflow or token is billed. With CompanyGPT, total monthly costs including infrastructure and tokens are estimated at 800 to 1,000 EUR. Even factoring in the one-time setup fee and maintenance contract, CompanyGPT pays for itself within a few months.

Enterprise Ready from Day 1, Not Only from 1,000 Seats

Many companies assume that an AI platform is automatically enterprise-grade. With Langdock, however, the security level depends on company size. In the standard tier, customers receive multi-tenant SaaS. This means data resides on shared infrastructure managed by Langdock. Dedicated deployment is only available from 1,000 seats, bring-your-own-cloud from 2,000 seats, and on-premise from 5,000 seats.

CompanyGPT takes a fundamentally different approach here. Every customer receives their own, fully isolated environment from the start. Deployment always occurs in the customer’s own Microsoft Azure tenant, fully automated via Kubernetes (AKS). Whether 10 or 10,000 employees: there is no shared hosting and no multi-tenant architecture. Data never leaves the customer’s infrastructure.

For companies that must meet regulatory requirements or operate in sensitive industries such as healthcare, financial services or the public sector, this is a decisive factor. With CompanyGPT, enterprise-grade is not a premium feature for large customers but the standard for every organization.

Optionally, STACKIT is available as a sovereign German cloud alternative that is entirely based on European infrastructure and meets the highest requirements for digital sovereignty.

companyFILES: Create Documents, Not Just Analyze Them

A common use case for AI platforms in enterprises is working with documents. Most platforms allow users to upload documents and ask questions about them. Langdock offers exactly this: document upload, chat over documents and data source connectivity.

CompanyGPT goes a decisive step further with companyFILES. Via the integrated MCP server, 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. Employees can not only ask questions about existing documents but the AI creates finished work products that can be used immediately. A sales representative can, for example, 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.

This capability fundamentally differentiates CompanyGPT from platforms that are limited to analyzing existing documents.

companyDASHBOARD: Full Transparency on Usage and Costs

When a company invests in an AI platform, decision-makers need transparency about how the platform is used and what costs arise. Langdock offers usage monitoring and logs that allow administrators to track usage.

CompanyGPT offers a significantly more granular solution with the companyDASHBOARD. The dashboard shows detailed usage statistics, token consumption broken down by individual users and models, model evaluations and a complete cost overview. Decision-makers always know exactly what the AI investment costs, which departments use the platform most intensively and which models deliver the best results.

This transparency is particularly important for companies that need to justify their AI spending to the executive board or controlling department. With companyDASHBOARD, the return on investment of the AI platform can be demonstrated on a factual basis.

MCP Servers, n8n and Agent Marketplace: Maximum Extensibility

An AI platform reaches its full potential only when it can be integrated into existing systems and workflows. Both platforms rely on open standards here.

CompanyGPT consistently uses the Model Context Protocol (MCP) and offers an Agent Marketplace where 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, web search with source references via Perplexity AI, reminder functions, Mistral OCR for text recognition in images and scans, and companyTRANSLATE for professional translations. All these extensions are included in the maintenance contract.

Langdock also supports MCP and REST interfaces for integration with external systems. However, automation via workflows is a paid add-on. Packages start at 449 EUR per workspace per month and are not included in the base user license price.

For companies that consider automation an integral part of their AI strategy, CompanyGPT offers the advantage that all extensions are available at no additional cost.

Token Costs Without Markup

Token costs are the second major cost factor alongside license fees when operating an AI platform. With Langdock, all API calls go through the Langdock platform, and a 10 percent markup is charged on the token prices of the respective AI providers. With intensive use, this markup quickly adds up to several thousand euros per month.

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. Billing is 100 percent transparent, and the customer benefits from the current prices of the cloud providers, including any volume discounts or reserved capacity agreements.

This difference is often underestimated. For a company with 500 active users and moderate usage, the 10 percent markup at Langdock can quickly amount to an additional 500 to 1,000 EUR per month. With CompanyGPT, these additional costs are eliminated entirely.

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

Both platforms are model-agnostic and support a wide range of AI models. This is an important factor, as no single model is the best choice for all use cases.

CompanyGPT supports the following models and providers:

• OpenAI (GPT-4o, GPT-5) via Azure AI Foundry
• Google Gemini 2.5 via Vertex AI
• Claude (Anthropic) via Vertex AI
• 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. There is no proprietary API layer in between, and consequently no additional costs or latency.

Langdock offers access to over 40 models according to its own information. Access is provided through a proprietary API layer that routes all requests. This has the advantage of a unified interface but comes with the mentioned 10 percent markup on all token costs.

GDPR and EU AI Act: Compliance Without Compromise

Data privacy and regulatory compliance are non-negotiable for European companies. Both platforms emphasize their GDPR compliance, but the technical implementation differs fundamentally.

With CompanyGPT, data never leaves the customer’s tenant. All documents, chat histories and training data remain in the company’s Azure environment. There is no data transfer to third-party servers. This architecture meets 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.

Additionally, CompanyGPT includes in the setup price an individual AI policy that documents the use of the platform in the context of the EU AI Act. Employee training ensures that all users operate the platform in regulatory compliance.

With Langdock in the standard SaaS model, data resides on Langdock servers in the EU. Langdock is ISO 27001 and SOC 2 certified, which confirms a solid security level. True data sovereignty in the sense of physical control over the infrastructure is only available there from the Enterprise tiers with 1,000 or more seats.

For companies that need complete data control from the very first user, CompanyGPT is the more consistent choice as a Langdock alternative.

Who Is CompanyGPT the Right Choice For?

CompanyGPT is particularly suited for the following companies and requirement profiles:

Companies of any size that want full control over their data benefit from deployment in their own Azure tenant. There is no minimum size and no seat-based tiers.

Organizations that do not want to pay monthly per-user licenses save significantly with CompanyGPT’s one-time setup model. The cost advantage becomes increasingly clear as the user count grows.

Teams that want to create Office documents via AI and not just analyze them get with companyFILES a capability that is not available on most other platforms.

Companies with existing Microsoft Azure infrastructure can seamlessly integrate CompanyGPT into their existing cloud environment without introducing new contracts or providers.

Organizations that need a dedicated enterprise-grade environment from just a few users will find with CompanyGPT a fully controllable, isolated platform from day one.

Frequently Asked Questions

Is CompanyGPT a real Langdock alternative?

Yes. CompanyGPT covers all core Langdock functions: model-agnostic chat, document analysis, integrations and workflow automation. Beyond that, CompanyGPT offers 0 EUR license fees, deployment in the customer’s own Azure tenant from the first user and native document creation via companyFILES.

What does CompanyGPT cost compared to Langdock?

CompanyGPT charges no monthly per-user licenses. Setup costs a one-time fee of 14,990 EUR, the optional maintenance contract is 399 EUR per month. Running costs consist exclusively of infrastructure and token consumption, billed directly by the cloud provider with no markup. Langdock charges from 23.20 EUR per user per month, plus workflow packages and a 10 percent markup on token costs.

Can CompanyGPT be operated on-premise?

CompanyGPT runs by default in the customer’s own Azure tenant as a dedicated Kubernetes environment. For companies with the highest requirements for digital sovereignty, STACKIT is available as a sovereign German cloud alternative. Langdock offers dedicated deployments only from 1,000 seats and on-premise only from 5,000 seats.

What documents can CompanyGPT create?

Via the MCP server companyFILES, CompanyGPT creates complete Excel spreadsheets, Word documents, PowerPoint presentations, PDFs and CSV files. Creation happens directly from the chat interface using natural language. This goes beyond the document analysis that other platforms offer by default.

From how many users is CompanyGPT worthwhile?

From the very first user. Deployment in the customer’s own tenant is independent of company size. There are no minimum user numbers, no seat-based tiers and no feature restrictions for smaller companies.

Does CompanyGPT offer workflows and automation?

Yes. CompanyGPT provides MCP servers, n8n integration for low-code automation and an Agent Marketplace with pre-built and custom agents. All extensions are included in the maintenance contract. There are no separate workflow packages, as is the case with Langdock.

Conclusion

CompanyGPT is the Langdock alternative for companies that want enterprise security without enterprise prices. While Langdock offers a proven product with a broad model selection and strong reference customers, the platform relies on a per-user license model and multi-tenant SaaS as the default. Dedicated deployments are only available from 1,000 seats, and a markup is charged on all token costs.

CompanyGPT delivers from day one an isolated environment in the customer’s own cloud tenant, without license fees and without token markups. Costs are transparent and usage-based. Features like companyFILES, companyDASHBOARD and n8n integration are included in the maintenance contract and require no additional packages.

Anyone looking to make an informed decision after OMR 2026 should compare both solutions, considering not just list prices but total cost of ownership over 12 to 24 months.

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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