Top 5 Langdock Alternatives (2026)

Langdock has earned its standing in European enterprise AI honestly. The Berlin-based platform serves over 7,000 companies — including Merck with 33,000 monthly active users, Der Spiegel and Dr. Wolff — offers genuinely model-agnostic chat across 40+ models from GPT-5 to Claude to Gemini, and hosts in German and EU data centers. Its workflow automation is more mature than most competitors at this price point. If you are searching for a Langdock alternative, it is probably not because the product failed you.

So why does the search happen anyway? Four reasons dominate almost every evaluation:

• The per-seat math stacks. €25 per user per month on the Business plan, €99 for Business Max with 5x usage. Workflow automation beyond the included 2,500 runs is a €539/month add-on for 100,000 runs, and API usage carries a 10% token markup. A 100-person organization pays €2,500 a month before the first add-on.
• It waits for you. Langdock is a chat-and-agent layer: every interaction is user-initiated. It does not watch your company’s signals, does not prepare work ahead of time, and does not speak up when something is about to slip.
• It is another app. There is no Teams-native presence. Your team lives in Microsoft Teams — and context-switches to a separate interface for every AI question.
• Agents are built, not learned. Custom agents are task-specific and need manual configuration. No persistent corporate memory accumulates on its own — the platform is as smart on day 300 as it was on day one.

None of these is a quality problem; they are category limits. The companies that outgrow Langdock are usually Teams-centric, mid-sized organizations that do not want to operate an AI workbench — they want AI that knows their business and acts before anyone asks.

Here are the five alternatives worth shortlisting in 2026, each with genuine strengths and honest limitations. For the direct head-to-head, see amaiko vs Langdock.

1. amaiko — proactive AI with a memory, inside Teams

Langdock asks your team to open a separate app. amaiko does the opposite: it is Teams-native. One Teams chat — no separate interface, no rollout project, no training sessions. You add it, you start typing, and onboarding is done. For companies that chose Microsoft Teams precisely to avoid tool sprawl, that alone settles half the evaluation.

The structural difference runs deeper than the interface, though. It is memory and initiative.

amaiko builds a persistent, self-learning corporate memory. It learns how your company works — projects, customers, decisions, preferences — and keeps that knowledge across every conversation. Where Langdock has you configure an agent per task, amaiko learns on its own: every interaction makes the next one more useful, and nobody maintains a configuration.

That memory feeds a self-learning agent network: specialized AI agents that handle email, meetings, research and company systems, and that improve from how your organization actually operates. Underneath run state-of-the-art models — not a single fixed model quietly ageing behind the brand.

And amaiko acts proactively. It does not wait for a prompt. It surfaces what needs your attention, prepares your day, and follows up on what would otherwise slip — exactly the part of AI assistance that a chat workbench structurally does not attempt.

Compliance is straightforward: 100% German hosting — not a German-or-EU mix — and ISO 42001-compliant AI management; details on the security page. Pricing starts at €19.92 per user per month, billed annually — below Langdock’s €25 entry price, with no usage ladder climbing toward €99. See pricing.

One honest caveat: amaiko is not a model-agnostic AI workbench. If your power users genuinely want to pick between 40+ models per conversation and build drag-and-drop workflows, Langdock does that well, and amaiko deliberately does not compete there. The trade is a different one: instead of a workbench your team operates, you get an assistant that learns and acts.

Best for: Teams-centric companies — especially in the German Mittelstand — that want AI which remembers, works ahead, and starts without a rollout project. You can book a demo to see it in your own tenant.

2. meinGPT — the German Mittelstand chat platform

Munich-based meinGPT is the natural Langdock alternative for buyers to whom EU hosting is not German enough: hosting in Germany, ISO 27001 certification, German-language support, and a real customer base — 100,000+ users across 250+ mid-sized companies. It offers multi-model access (GPT-5, Claude, Gemini and more) and, rare in this class, SAP and ERP connectors that matter to manufacturing-heavy Mittelstand businesses.

What does not change: like Langdock, meinGPT is chat-first and reactive. Users pull information, nothing is pushed, assistants require per-use-case configuration, and no persistent corporate memory accumulates on its own. There is no Teams-native experience either. And if Langdock’s per-seat pricing is what drove you here, note that meinGPT’s pricing is quote-based — budgeting starts with a sales call rather than a price list.

Full comparison: amaiko vs meinGPT.

3. nele.ai — GDPR-first chat, hosted in Germany

nele.ai is the leanest German option on this list: GDPR-compliant multi-model chat (GPT, Claude and open-source models), a company knowledge base, and team management. It is hosted in Germany and pseudonymizes personal data before it reaches a model — a privacy posture stricter than most of the market.

The limits: no persistent memory, no Teams-native delivery, no proactive push — a chat UI outside the workflow. As a Langdock alternative, nele.ai is the simpler, German-hosted sibling rather than a step up in capability. If your main concern is data protection and your needs are chat-sized, it deserves a look.

Full comparison: amaiko vs nele.ai.

4. ChatGPT Enterprise — the strongest general-purpose assistant

If your benchmark is raw assistant capability, ChatGPT Enterprise is hard to beat: the models everyone measures against, plus SSO, admin controls, higher usage limits, and a hard commitment not to train on your company data.

As a Langdock alternative, though, it trades away exactly what made Langdock attractive in Europe. Data is processed in the United States, which puts CLOUD Act exposure squarely on your data protection officer’s desk. Forty-plus models shrink to one vendor’s portfolio. There is still no native Teams integration, and at $30+ per user per month on an enterprise contract, it is not cheaper either.

Full comparison: amaiko vs ChatGPT Enterprise.

5. Dust — the technically closest alternative

French platform Dust — founded by ex-OpenAI and ex-Stripe people, backed by Sequoia — builds department-level AI assistants connected to company data: Slack, Google Drive, Notion, Confluence, GitHub. It has a native Teams integration — besides amaiko, the only one on this list — a selectable EU or US hosting region, SOC 2, zero data retention with model providers, and a Pro plan at roughly $29 per user per month.

The limits are the ones Dust shares with Langdock: assistants need IT configuration, there is no persistent corporate memory, and no proactive push. German hosting is not the default but a selectable EU region. If you are leaving Langdock because of its reactive nature, you will find the same nature here — with a different accent.

Full comparison: amaiko vs Dust.

How to choose

Match the tool to your situation, not to the hype cycle:

• Your company lives in Microsoft Teams and you want AI with a memory that acts before you ask: choose amaiko — Teams-native, proactive, 100% German hosting, from €19.92 per user per month.
• You want German hosting, SAP connectivity and German-language support, and chat is enough: meinGPT.
• You want the leanest GDPR-safe chat with German hosting and pseudonymization: nele.ai.
• You want the strongest general-purpose assistant and can accept US data processing: ChatGPT Enterprise.
• You want department-level agents across many tools and have an IT team to configure them: Dust.

And in fairness to Langdock: if what your company needs is a model-agnostic AI workbench with EU hosting and proven enterprise scale, it remains one of the strongest options in Europe — Merck’s 33,000 monthly active users are an argument. The real question is not whether Langdock is good. It is whether a chat workbench your team operates is what your company actually needs — or an assistant that knows the business and acts before anyone asks.