TL;DR: Langdock Review in 30 Seconds

Langdock is a GDPR-compliant AI platform that allows companies to deploy large language models safely across their entire organization. It acts as a secure wrapper, aggregating top-tier models from OpenAI, Anthropic, and Mistral without vendor lock-in. For organizations looking for German AI solutions, Langdock ensures that no corporate data is ever used to train public models.

The Verdict: Langdock is exceptional for enterprise security and multi-model flexibility. However, like any AI, its outputs are only as good as the data you feed it. To get the most out of Langdock for sales and RevOps workflows, you need a tool like tl;dv to automatically capture and transcribe your meeting data first.

Pro Contro
Fully GDPR-compliant with zero data retention
No permanent free tier
Switch instantly between GPT-4, Claude 3, and Mistral
Requires high-quality input data to generate good outputs
ISO 27001 certified and EU-hosted
Custom enterprise deployments require 1,000+ seats
Listed on the German government’s official AI marketplace
Pricing may be steep for very small teams
Custom AI agents without writing any code
Learning curve for building advanced agents

Why We Tested Langdock (The Enterprise AI Problem)

As businesses rush to adopt artificial intelligence, data privacy remains a massive hurdle. We see the same pattern everywhere: employees paste sensitive financial data, meeting transcripts, and customer details directly into public AI tools like ChatGPT. Every time they do, that data passes outside the organization’s control — potentially used to train future models, stored on US-based servers, and exposed to regulatory risk.

We spent two weeks testing Langdock across our team to see if it actually solves this problem in practice, not just on paper.

What we found is that Langdock provides a unified AI platform for enterprises that sits securely between your employees and the underlying AI models. Instead of buying separate licenses for ChatGPT, Claude, or Gemini and letting your team access those tools directly, employees access all of these models through a single, controlled, and compliant interface.

The scale of adoption tells its own story. Major organizations — including Merck, Der Spiegel, and Volksbank — already use this German AI platform to power their daily operations. The German government has even listed Langdock in its official marketplace for AI solutions at maki.beki.bund.de, signaling a level of institutional trust that very few AI platforms for enterprises have achieved.

After two weeks of hands-on testing, here is exactly what we found.

Langdock AI platform enterprise dashboard overview showing main workspace interface

Key Features: What Makes Langdock Different?

Langdock is more than just a chat interface. It provides a comprehensive suite of AI apps and tools designed specifically for enterprise workflows. Here are the three features we used most during our two-week test.

Model Agnosticism: Switch Between AI Models Instantly

This is the feature that immediately separates Langdock from every single-vendor AI solution on the market.

Most AI apps lock you into one provider. If you are a ChatGPT Enterprise customer and Anthropic releases a model that outperforms GPT-4 on your specific use case, you are stuck. With Langdock, your team can switch to it immediately with a single click. The platform currently supports over 30 different models, including:

  • GPT-4o (OpenAI) — general-purpose tasks, writing, and summarization.
  • Claude 3 Opus / Claude 3.5 Sonnet (Anthropic) — document analysis, legal reasoning, and nuanced writing.
  • Mistral — a European model option with strong multilingual performance, including German.
  • Gemini (Google) — available for teams that prefer Google’s ecosystem.

During our test, we regularly switched between Claude 3 and GPT-4o depending on the task. The transition was seamless. No re-login, no separate tab, no different interface to learn. This model-switching capability alone makes Langdock the most flexible AI platform for enterprises we have tested.

Langdock model switcher dropdown showing GPT-4o, Claude 3 Opus, Mistral, and Gemini options in the enterprise AI platform (2)

Custom AI Agents: Build Internal Tools Without Code

During week two of our test, we focused almost entirely on Langdock’s custom agent builder. This is where the platform earns its enterprise label.

Departments can build specialized subagents — each with its own system prompt, knowledge base, and access permissions — without writing a single line of code. The use cases we set up and tested:

  • A Legal Review Agent loaded with internal contract templates and compliance guidelines. It could flag problematic clauses in seconds.
  • A Sales Prospecting Agent trained on the company’s product documentation and ICP (ideal customer profile). It generated first-draft outreach emails that actually matched the brand voice.
  • An HR Policy Agent that answered employee questions about leave policies and benefits by referencing the internal employee handbook.

Each agent stayed entirely within the Langdock workspace. Employees in one department could not access agents built for another department. Permissions were clean, granular, and worked exactly as described.

Langdock custom AI agent builder interface showing system prompt configuration and document upload for enterprise teams

Enterprise Integrations: AI That Knows Your Internal Data

A standalone chat interface is useful. An AI that can search your company’s actual documents in real time is transformative.

Langdock connects directly and securely to the tools most enterprise teams already use:

  • Google Drive — the AI can reference your documents, spreadsheets, and slides as live context.
  • Microsoft 365 — connects to Word, Excel, SharePoint, and OneDrive.
  • Notion — pulls in pages, wikis, and databases as searchable knowledge.
  • Slack — surface AI capabilities directly inside team conversations.

We tested the Google Drive integration extensively. We connected a shared drive containing our product documentation and asked the Langdock agent questions that required pulling information from multiple documents simultaneously. The results were accurate and fast. The AI correctly cited which document it pulled each answer from.

This is what separates a mature AI platform from a chatbot wrapper. The integrations turn Langdock into a genuine internal knowledge system, not just a smarter search bar.

Security and Privacy: Is Langdock GDPR-Compliant?

Yes. Langdock is fully GDPR-compliant. For companies operating in Germany, Austria, and Switzerland (the DACH region), this is usually the single most important question in any AI vendor evaluation. Here is what that compliance actually means in practice.

Zero Data Retention for Model Training

When your employees use public AI tools, their prompts and the content they paste can be used to improve future versions of those models. Langdock explicitly blocks this. They operate a zero data retention policy for model training purposes. Your business data is never seen by, stored by, or used by the underlying model providers.

During our security review, we confirmed this policy is not just a checkbox. It is enforced at the API level for every model integration Langdock supports.

ISO 27001 Certified and SOC 2 Type II Audited

Langdock holds ISO 27001 certification — the internationally recognized standard for information security management systems. This is a mandatory requirement in many enterprise and public-sector procurement processes.

They are also SOC 2 Type II audited, which means an independent third party has verified their security controls over an extended monitoring period, not just a point-in-time assessment. Both certifications are verifiable and current.

All Data Hosted Within the European Union

Every byte of data processed through Langdock is handled on servers located within the European Union. This is not a technicality — it is a hard legal requirement under GDPR (known in Germany as DSGVO). US-based AI tools store and process data on American infrastructure, placing that data under US legal jurisdiction and outside the scope of European data protection law.

Langdock’s EU-only hosting eliminates this risk entirely.

Single-Tenant and On-Premise Options

For organizations with extreme security requirements — banks, law firms, healthcare providers, government agencies — Langdock offers single-tenant deployments where your instance is completely isolated from other customers. On-premise hosting is also available for organizations that cannot place any data outside their own infrastructure.

This level of security architecture is rare in the AI platform space and positions Langdock as the premier GDPR-compliant AI solution for regulated industries.

Full security documentation is available at langdock.com/security.

Langdock Pricing in 2026: Is It Worth the Cost?

langdock pricing tiers monthly in 2026

Langdock is not permanently free, but it offers a 7-day free trial with no credit card required. The pricing is structured across three separate products, which is important to understand before budgeting.

Chat and Agents: Per Seat

The foundation of Langdock. This is what gives your team access to the chat interface, all AI models, and the custom agent builder.

  • Business plan: €20 per user per month (billed annually — additional 20% discount applied)
  • Enterprise plan: Custom pricing for 1,000+ users, includes dedicated deployment, on-premise options, custom onboarding and SLAs

Volume discounts apply automatically as seat count grows, with the highest discount tier kicking in at 551+ seats. SSO, SCIM, and SAML are included on both plans.

Workflows: Per Workspace

Workflows is a separate, optional add-on for teams that want to build multi-step automated AI processes — not just chat. Think of it as the automation layer on top of the chat layer.

  • Starter: €119 per workspace per month — includes 2,500 workflow runs
  • Business: €449 per workspace per month — includes 40,000 workflow runs, up to 2,000 steps per workflow
  • All plans include unlimited workflow steps and unlimited users within the workspace
  • AI model usage inside workflows (agent nodes, etc.) is billed separately via API credits — it is not included in the seat price
  • Unused workflow runs expire at the end of each billing cycle and do not roll over
  • Workflows requires an active Chat and Agents subscription for all users

This is the tier that powers the tl;dv + Langdock automation described earlier in this review. The Sales Follow-Up Agent workflow runs against this quota.

Langdockpricng 2026 workflows addon

API: Usage-Based

For developers who want to integrate Langdock’s model access directly into their own systems or products. This is programmatic access to all supported models through a single unified, GDPR-compliant EU-hosted endpoint.

  • Priced per token, per model — rates mirror the underlying provider’s pricing with a 10% Langdock surcharge applied on top
  • No minimum commitment
  • No seat requirement — API is purchased independently of Chat and Agents

What Does Langdock Actually Cost in Practice?

The honest answer is: it depends on how many of the three layers you use. A team of 50 using Chat and Agents only, billed annually, comes to roughly €1,000 per month before VAT. Add the Business Workflows package and you are looking at approximately €1,450 per month, plus whatever AI model usage your workflows consume via API.

That sounds like a lot until you price the alternative: 50 seats of ChatGPT Plus at $20 each plus 50 seats of Claude Pro at $20 each comes to $2,000 per month — with no centralized control, no GDPR guarantee, no custom agents, and no workflow automation.

Langdock pricing 2026 api tokens

The Missing Link: Combining Langdock with tl;dv

During our two weeks of testing, we discovered something that no product overview or marketing page will tell you: Langdock is only as good as the data you feed it.

When we tested the Sales Follow-Up Agent using manually written meeting notes, the output was generic. The emails it generated were technically correct but lacked the specific details, objections, and next steps that close deals. The AI had no way to fill in what the notes left out.

When we switched to using structured, complete transcripts from tl;dv, the quality of Langdock’s outputs changed entirely.

The Problem: Messy Meeting Data Kills AI Performance

Your sales team has customer calls every day. After each call, someone writes a few notes in the CRM. Those notes miss 80% of what was actually said. They miss the specific objection the prospect raised. They miss the exact phrasing the buyer used to describe their problem. They miss the offhand comment about budget that changes everything.

When you feed this incomplete data into Langdock, the AI does its best with what it has. But garbage in, garbage out. The output will always reflect the quality of the input.

The Solution: tl;dv Captures Everything

tl;dv is a meeting intelligence tool that records, transcribes, and summarizes your Zoom, Google Meet, and Microsoft Teams calls automatically. It joins as a silent participant, produces a speaker-tagged transcript in real time, and generates a structured AI summary the moment the call ends.

The output is not messy notes. It is a complete, accurate, structured document with every objection, every commitment, every next step captured verbatim.

That is exactly what Langdock needs to perform at an enterprise level.

The Workflow: Step by Step

Here is the exact workflow we built and tested during our review:

Step 1 — Record the Call Your sales rep joins a Zoom or Google Meet call. tl;dv automatically joins as a silent participant and records the entire meeting. No manual action required.

Step 2 — Generate the Transcript and Summary The moment the call ends, tl;dv generates a highly accurate, speaker-tagged transcript and an AI-powered summary that includes key topics, decisions, objections, and agreed next steps.

Step 3 — Feed the Summary into Langdock The structured tl;dv summary is pasted or automatically sent into a custom Langdock “Sales Follow-Up Agent.” This agent has been pre-configured with your company’s brand voice, email templates, and CRM field mapping.

Step 4 — Generate the Output Securely Because Langdock is now reading a precise, complete transcript rather than incomplete manual notes, it generates a flawlessly personalized follow-up email, a CRM update with all required fields populated, and a list of specific next steps for the deal. All of this is processed entirely within Langdock’s GDPR-compliant, EU-hosted infrastructure. No sensitive call data ever touches a public AI tool.

Watch Langdock in Action

The fastest way to understand how Langdock works in practice is to see it used by someone who knows it well. The video below gives an independent walkthrough of the platform’s core features, interface, and use cases.

Final Verdict: Should You Use Langdock?

After two weeks of hands-on testing, our conclusion is straightforward.

If you are an IT leader, CIO, or RevOps manager searching for a secure, model-agnostic AI platform for enterprises that your legal and compliance teams will actually approve, Langdock is currently the best European solution available. It solves the data privacy problem completely, offers unmatched flexibility across AI models, and provides the compliance documentation (ISO 27001, SOC 2 Type II, GDPR) that enterprise procurement requires.

The one caveat is this: deploying Langdock is step one. Driving real productivity from it is step two, and step two depends entirely on the quality of data you feed into it.

For sales and RevOps teams, the highest-impact thing you can do before rolling out Langdock is to set up tl;dv to capture your calls. Every meeting becomes a structured, accurate, GDPR-safe data source. Feed that into your custom Langdock agents, and the quality of AI output your team gets is in a completely different league.

Try tl;dv for free today. Capture every call perfectly. Then let Langdock do the rest — securely, compliantly, and at enterprise scale.

FAQs About Langdock

Langdock is a Berlin-based startup founded by a team of German software developers. The company is headquartered in Germany and has been built with European enterprise requirements at its core. Their entire product strategy is shaped by the GDPR compliance and data sovereignty demands of the DACH market.

No, but they offer a 7-day free trial that requires no credit card. After the trial, the Business plan starts at €23.20 per user per month, billed annually. There is no permanent free tier.

No. Langdock explicitly guarantees that customer data is never used to train their models or the models of their AI partners. This applies to every model available on the platform, including GPT-4, Claude, and Mistral. This is a contractual guarantee, not just a product feature.

Langdock is primarily designed as an AI platform for enterprises with multiple users and department-level use cases. The Business plan at €23.20 per user per month is accessible to smaller teams. However, the full value of the platform — custom agents, deep integrations, and compliance infrastructure — is best realised by teams of 20 or more users. Very small teams may find simpler AI apps more cost-effective.

Langdock supports over 30 AI models, including GPT-4o (OpenAI), Claude 3 Opus and Claude 3.5 Sonnet (Anthropic), Mistral, and Gemini. The available model list is regularly updated as new models are released. Check langdock.com for the current list.

Yes. Langdock is listed on the official German federal government AI marketplace at maki.beki.bund.de — a platform that catalogues AI tools reviewed for suitability across the public and private sector. This listing is a meaningful signal of institutional credibility in the German market.