8 GDPR-Compliant Lindy Alternatives for Teams in 2026

Looking for a Lindy alternative that is truly GDPR compliant? You are not alone. Lindy is one of the most polished AI-employee products on the market: you tell it a task in Slack, Gmail or iMessage, and it answers, writes drafts and runs through 1,500+ integrations plus MCP⁴. The problem shows up when the data protection officer reads the Terms of Service: “the Services are hosted in the United States” and “you expressly consent to have your data transferred to and processed in the United States”². For a team that sends customer emails, meeting notes and CRM data to the AI, that is where the conversation stops. This comparison gives you honest pros and cons, with a focus on what counts for teams in Germany and the EU: hosting and processing in Europe, a signed data processing agreement (DPA), no training on your data, and a model that works for the whole team instead of one person per seat.

Every entry is checked against the vendor’s own pages, as of October 2026. Where a vendor does not say, we write “check with vendor”.

What is a GDPR-compliant Lindy alternative?

A GDPR-compliant Lindy alternative is an AI employee or AI agent platform that does the same kind of work as Lindy, writing emails, taking meeting notes, running tasks across your tools, but with a signed data processing agreement, a documented processing location in Europe and no training on your company data. Some alternatives are ready-to-use AI employees you simply write to in your existing channels. Others are agent-building platforms you configure and operate yourself. All eight below are checked against what their vendors publish.

Why you need a Lindy alternative

Lindy offers one of the smoothest AI-employee experiences on the market, a polished chat interface, 1,500+ integrations with MCP, 40+ built-in skills, scheduled routines, phone calls and a shared team Lindy⁴. Teams in Germany and the EU still look for alternatives, for these reasons:

• Hosted in the United States - Section 19 of Lindy’s Terms of Service says the services are hosted in the United States, and that by using them you consent to data transfer and processing in the US². For a self-service plan, there is no EU hosting option listed anywhere on the public pages.
• No signed DPA linked on the public pages - the Terms include a “Data Processing Terms” section with Standard Contractual Clauses for transfers², but a separate signable Data Processing Agreement is not published. If your legal team works with its own DPA template, that is where the review stops.
• Price per seat, not per team - Team starts at $29.99 per user per month for 3,000 credits, and “every active user in the workspace is billed”¹. For a department with 20 people on Microsoft 365, that is a seat-count problem long before it is an AI problem.
• Credits per task on top of seats - tasks cost 2 to 2,500 credits each, with everyday asks at 2 to 250, deep work at 250 to 1,000 and big builds at 1,000 to 2,500 credits¹. Overage top-ups are $10 per 1,000 credits. Budgeting is harder than a flat company plan.
• Teams and Outlook are not working channels - Lindy’s own site names Slack, iMessage, Gmail (via a Chrome extension) and the browser as the places it works. Microsoft Teams appears only as a logo in the integrations grid, and Outlook is not listed⁴. Many Mittelstand teams live in Outlook and Teams first.
• Compliance claims without a public DPA - the footer and pricing page list SOC 2 Type II, GDPR, HIPAA and PIPEDA badges¹, but SOC 2 and HIPAA do not substitute for a signed Auftragsverarbeitungsvertrag (AVV) in Germany. A badge is not a contract.
• Training opt-out is a claim, not a plan setting - Lindy’s Terms state that it does not use your contributions to train AI models and that its model providers have agreed the same². There is no separate opt-out toggle in the public pricing, which is good, but it also means you have only the Terms, not a per-plan guarantee.

None of this makes Lindy a bad product. It is one of the most capable AI employees on the market. Whether it fits your data protection requirements depends on which data you want to run through it, and your DPO’s view of US processing with Standard Contractual Clauses.

GDPR compliant is more than an EU server

An EU data centre is a good start, but your data protection officer and your Betriebsrat ask more questions. Check these six points for every tool on this list, including Superkind:

• DPA - is there a signed data processing agreement for the plan you actually buy, and how do you get it (included in the terms, downloadable, on request, Enterprise only)?
• Where the AI models run - EU hosting of the app is not EU hosting of the model. Which large language models are used, and where are they processed? Superkind uses models from OpenAI, Anthropic, Mistral and Google, processed in Europe.
• Training - is your content excluded from model training by default, or only after someone opts out?
• Who sees what - roles and permissions decide whether the working-student intern can read the applicant inbox. Both the user roles and the AI’s access to systems matter.
• Approval before anything goes out - does a person check before a reminder, a booking or an outgoing email leaves the team, or does the agent act and the audit log catches it afterwards?
• Retention and deletion - how long do run logs, email drafts and uploaded documents stay, and how do you delete them when you leave the vendor?

For a deeper look at EU hosting across AI tools, see The Best GDPR-Compliant AI Tools with EU Hosting. One sentence of ground rule: Superkind itself uses AI models from US vendors (OpenAI, Anthropic, Google), processed in Europe. The point is not where a vendor’s headquarters is, but where the data goes, who signs for it, and who approves before it leaves.

The 8 GDPR-compliant Lindy alternatives compared

Hosting and data protection are shown as each vendor documents them on its own pages. Prices are as of October 2026, excl. VAT.

The 8 GDPR-compliant Lindy alternatives in detail

Superkind comes first; the other seven are described as their vendors document them.

1. Superkind: Best Overall Choice for Teams in Germany and the EU

Superkind is an AI employee for your team. Instead of building agents, you write to Superkind in Outlook or any email inbox, Microsoft Teams, Slack or the Superkind web app like you would to a colleague. It does the task in your programs and asks you before anything goes out. It is hosted and processed in Europe, GDPR compliant, and works through 1,500+ integrations, including Outlook, DATEV, SAP Business One, HubSpot, lexoffice and Google Sheets.

Why it is our overall pick - the criteria you can check:

• Works where you already work - Outlook, Gmail, Microsoft Teams, Slack and the web app, with the same knowledge and rules everywhere.
• Does the task in your programs - through 1,500+ integrations, not just a draft in a chat window.
• Asks for approval - before it sends, books or changes anything, you click Approve or Reject.
• Keeps your company knowledge - the Company Brain stores customers, prices and processes, even when people leave.
• EU-first - hosted and processed in Europe, GDPR compliant, aligned with the EU AI Act (Regulation (EU) 2024/1689), no training on your data, DPA through the Trust Center.
• Unlimited users from €50 per month - no price per seat, one credit budget for the whole company; €100 covers up to 1,000 tasks (as of October 2026, excl. VAT).
• Grows into your own apps - when it gets more complex, you build on the platform instead of starting over.

Best for

• Teams on Microsoft 365 or Google Workspace that need Outlook and Teams, not just Slack
• Accounting, sales, customer service, back office and order entry
• Companies with a Betriebsrat that needs German data protection documentation
• Teams whose Lindy bill grows with every seat added

How to use Superkind as your Lindy alternative

Take a typical Lindy use case: an inbound sales email arrives, someone looks it up in the CRM, drafts an answer, sends it and logs the call for next week. With Superkind it is four steps, and the last one runs on its own. More on this use case: sales follow-up with an AI employee.

1. 1

   You write to Superkind

   In Outlook, Teams, Slack or the web app, in plain words. Forward the sales email and say what should happen next.

2. 2

   Superkind does it in your systems

   It reads the email, pulls the company record from HubSpot, drafts an answer using your product and pricing knowledge from the Company Brain, and schedules a follow-up for next Tuesday, processed in Europe.

3. 3

   Superkind asks for approval

   Before the answer goes to the customer, you see it in Teams, Slack or your inbox and click Approve or Reject. Quotes over €10,000 go to management first.

4. 4

   Done, and next time it is a routine

   Say it once and it keeps running: “Every inbound email from a known customer gets drafted and logged the same way.”

From the first task to your own app

For a team that used to spread work across one Lindy per person, the path to your own AI team has four stages.

1. 1

   Ready in minutes

   Sign up for free, forward your first customer email in Outlook or Teams and watch it get answered.

2. 2

   Tasks become routines

   What you explained once keeps running: every inbound email gets drafted and logged in the CRM the same way, and Superkind asks for approval before anything goes out. No Lindy to build per use case.

3. 3

   Learns from day one

   Every answer adds to your Company Brain: which customer gets which price, which product has which lead time, who approves what. Unlike the files hidden inside one person’s Lindies, this knowledge is never lost.

4. 4

   Your own Super App

   When it gets more complex, you do not start over: you build your own sales desk or ticket cockpit on the Superkind platform, on top of what Superkind already knows, yourself or with the Superkind team. It all belongs to you.

Data protection and EU hosting

Safe by default

Your data stays in Europe, under a DPA, with no training on your data.

• Hosted and processed in Europe
• GDPR compliant
• Aligned with the EU AI Act
• No training on your data
• DPA through the Trust Center

For a Lindy alternative this means: the customer emails, meeting notes and CRM data that used to run through a US-hosted service are processed in Europe, under one DPA for the whole company, with a person approving before anything leaves the team. For teams with a Betriebsrat, that is often what unlocks the roll-out.

2. Beam AI

Beam AI is an agentic workflow platform that runs enterprise processes with human sign-off on critical steps. It lists over 1,000 integrations, including SAP, DATEV and Salesforce⁵. The German legal entity, Beam Technologies GmbH, is registered in Berlin⁶.

Features

• Workflow agents - agents that run complete processes with team feedback carried into later runs⁵.
• EU data residency - deploy on Beam cloud in the EU, the US or GCC, your own cloud or on-prem⁵.
• Human approval - critical steps wait for sign-off, the rest runs automatically⁵.
• Custom interfaces - teams can get apps built on top of the same agent⁵.

Best for

• IT or ops teams that build their own agents
• Enterprises with SAP, DATEV or Salesforce at the centre
• Projects where EU data residency is a hard requirement

3. Dust

Dust is a multiplayer AI workspace from France where people and agents share context, with connectors to Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk⁹. Business adds US or EU data residency; Enterprise adds single-tenant deployment and custom DPA terms⁸.

Features

• Multiplayer workflows - people and agents share context and reviews⁹.
• 20+ models - from OpenAI, Anthropic, Google and Mistral⁹.
• Volume pricing - Pro €24 per seat/month annual, Max €120 per seat/month, Business and Enterprise custom⁸.
• DPA on Enterprise - a signed DPA is part of Enterprise custom legal terms⁸.

Best for

• Knowledge-work teams in product, sales and support
• Companies that want to build and share agents in-house
• Teams that will reach Business or Enterprise for EU residency

4. Langdock

Langdock is an EU AI workspace from Berlin with chat, custom agents and workflow runs. The platform runs by default on Azure Frankfurt EU regions, with a published DPA, ISO 27001 and SOC 2 Type II, and no training on customer data¹¹. Governance lets admins review, approve, flag or disable any agent¹⁰.

Features

• Custom AI agents - for recurring tasks, included in Chat & Agents¹⁰.
• Governance - review and approve agents centrally¹⁰.
• Workflows add-on - 40k runs/month at €449, 100k runs/month at €999 per workspace¹⁰.
• EU hosting - app and most models in the EU, deployment on your cloud or on-prem possible¹¹.

Best for

• Teams standardising on an EU AI workspace
• Companies that want AI chat plus simple agents in one place
• Knowledge-work with documents and files

5. n8n

n8n is a workflow builder from Berlin with AI Agent nodes and human-approval for tool calls, used as a cloud service or self-hosted. Hosted-plan data is stored in Frankfurt¹², and n8n offers a pre-signed data processing agreement to download¹³. All plans include unlimited users¹².

Features

• AI Agent node - available on all Cloud plans, with human approval for tool calls¹².
• Billed per execution - from €20 per month for 2,500 executions on Starter¹².
• Unlimited users - no price per seat on any plan¹².
• Self-hosting - Community edition on your own infrastructure, without a licence key.

Best for

• Teams with developers or a technical admin
• Companies that want to run agents on their own servers
• Workflows with many steps per run

6. Microsoft Copilot Studio

Copilot Studio is Microsoft’s agent builder across Microsoft 365, Teams, websites and custom channels. For EU customers of the Microsoft Cloud, personal data in Copilot Studio sits inside the EU Data Boundary¹⁵. Agents are sold as prepaid credits and require an Azure subscription¹⁴.

Features

• Agents in Microsoft 365 - agents that live in Teams, Outlook, SharePoint and the web, built in a canvas¹⁴.
• EU Data Boundary - Microsoft commits to processing and storage of personal data inside the EU for Copilot Studio¹⁵.
• Power Platform fit - connectors to Microsoft Dataverse and the Power Platform catalogue¹⁴.
• Credits plus Azure - Copilot Credit Commit Units purchased up front, Azure subscription required¹⁴.

Best for

• Companies fully on Microsoft 365
• IT teams that already manage the Power Platform
• Agents inside Teams and SharePoint

7. CrewAI

CrewAI is an open-source multi-agent framework (MIT License) with a commercial AMP platform on top¹⁶. Run on your own infrastructure, the framework does not transmit data to CrewAI, and LLM calls go to the provider you choose. CrewAI Factory is a containerised self-hosted option for the managed platform.

Features

• Open-source core - MIT-licensed Python framework for multi-agent crews¹⁶.
• Self-host - run on your own servers; LLM provider stays separate.
• Factory option - containerised self-hosting of the managed platform, Enterprise tier.
• Managed AMP - commercial platform with a free Basic tier; runs on US cloud for the managed service.

Best for

• Engineering teams that want full control
• Companies that must keep all data in their own infrastructure
• Teams comfortable managing Python and model providers

8. MeinGPT

MeinGPT (by SelectCode near Munich) is an AI assistant for German Mittelstand teams. Chats and files are stored on Hetzner servers in Germany, and the default model regions are Azure OpenAI and Google Vertex in the EU¹⁷. The product is more of a chat workspace with agents than a full AI employee acting across your systems.

Features

• German hosting - chats and files on Hetzner servers in Germany¹⁷.
• EU model regions - Azure OpenAI and Google Vertex EU regions by default¹⁷.
• Simple agents - prompt-driven agents and templates for recurring tasks.
• Made for the Mittelstand - German UI, German support, pricing on request.

Best for

• German teams that mainly want an EU chat workspace
• Companies that start with light agents
• Those for whom Hetzner Germany hosting is a hard requirement

For a broader look at the AI tools you can host in Europe, see The Best GDPR-Compliant AI Tools with EU Hosting.

Feature comparison: What Superkind does that Lindy does not

✓ = yes, ~ = partly, ✗ = no, as documented by the vendor. Where the vendor page does not say, we write “check with vendor”.

Where Lindy is better: the chat experience is one of the smoothest on the market, and iMessage and phone calls as channels are rare. If your team lives in Slack and iMessage and you can live with US processing, Lindy is strong.

Who benefits most

Three groups gain the most from moving their AI employee work from Lindy to an EU setup.

Teams on Microsoft 365 (Outlook and Teams, not just Slack)

Most German Mittelstand teams live in Outlook and Microsoft Teams. Lindy’s own site names Slack, iMessage, Gmail and the browser as its channels⁴; Teams and Outlook are not in that list. If people have to leave their inbox or chat to use the AI, adoption stalls. An AI employee that works where you already work keeps the day flowing.

Companies with a Betriebsrat or DPO who needs a signed AVV

Many Betriebsräte and DPOs want a signed Auftragsverarbeitungsvertrag with a listed sub-processor table and a European processing location, not a “GDPR compliant” badge in the footer. A tool with EU hosting plus a downloadable DPA is often what unlocks the roll-out.

Departments where the Lindy seat count grows faster than the value

Accounting, sales, customer service and operations teams add people quickly. At $29.99 per user per month plus credits, a department with 20 people costs over $7,000 per year on the Team plan before any credit top-ups¹. A tool with unlimited users and one company budget costs the same with 5, 20 or 50 people.

Switching from Lindy to Superkind

You do not have to switch everything on day one. Most teams run both for a few weeks and move one use case at a time.

• Notice period - Lindy’s Team plan is billed per user and month. New teammates who join through Slack get a 7-day trial before their seat is billed; direct signups are billed immediately¹. Cancel the seats you no longer need at the end of the current billing cycle.
• Data export - Lindy stores memory in plain files you can edit⁴. Download the files for the Lindies you still want to use as reference, and keep the ones that describe your rules (“orders over €10,000 to management”, “complaints to customer service”).
• What to take over - the knowledge inside your Lindy files becomes rules and knowledge in Superkind’s Company Brain, so it belongs to the company, not to one user’s account.

The first three steps

1. 1

   Pick the Lindy that gets used most

   Email triage, sales follow-up, meeting notes, lead qualification. Your Lindy usage shows which one runs every day.

2. 2

   Sign up and connect the same systems

   Start free at app.superkind.ai and connect Outlook, Teams or Slack plus the systems the Lindy used, for example HubSpot, SAP Business One or Google Sheets.

3. 3

   Write the task once and make it a routine

   Write it to Superkind like a colleague, approve the first result, then say “do this every time”. Switch the Lindy off when the routine runs.

6 tips for choosing a GDPR-compliant Lindy alternative

List the Lindies and the data they touch

Write down which Lindies touch personal data: customer names, meeting participants, applicant files, payroll notes. Those need EU processing first.

Get the DPA and check where the models run

Sign the data processing agreement before real customer data flows, and ask where the AI models run, not just the app. EU hosting of the app is not EU hosting of the model. Also plan AI training for the team: Article 4 of the EU AI Act requires companies that use AI to ensure sufficient AI literacy among their staff¹⁸.

Count the seats, not just the price

Lindy, Dust, Langdock and Copilot Studio are priced per seat. Pick ten people in your team, multiply, add the AI credits or runs, and compare against a company plan. Flows with many steps show the biggest difference.

Decide who builds and who maintains

Beam AI, n8n, Copilot Studio and CrewAI need someone to build and fix agents. If you do not have that person, pick a tool your team can use by writing to it, like you would to a colleague.

Put an approval where it counts

Outbound emails, payment reminders, bookings and orders should not go out unchecked. Make approval part of the process, not of one agent, so the same rule applies whoever asks.

Test with last month’s real cases

Run ten real customer emails or ten real orders from last month through the new tool. Demo data never shows your exceptions.

Conclusion

Lindy is one of the smoothest AI-employee products on the market, with a Slack-first, iMessage-ready experience and 1,500+ integrations. For teams in Germany and the EU, the Terms of Service give the trade-off plainly: services hosted in the United States, data transfer on consent, no EU hosting option and a per-seat price. If you want to build agents yourself, Beam AI with EU residency, Dust from France, Langdock on Azure Frankfurt, n8n in Frankfurt, Copilot Studio inside the EU Data Boundary, CrewAI self-hosted and MeinGPT on Hetzner Germany are honest options. If you would rather hand over the task than build the agent, Superkind does it in Outlook, Teams and Slack, works in your programs through 1,500+ integrations such as DATEV, SAP Business One and HubSpot, is hosted and processed in Europe and runs for unlimited users from €50 per month. Your next step: take the Lindy you use every day and send that task to Superkind this afternoon.

Frequently Asked Questions

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• 8 GDPR-Compliant Zapier Alternatives for Business in 2026
• The Best GDPR-Compliant AI Tools with EU Hosting (2026)
• AI Agents for the Mittelstand
• All Superkind integrations

Henri Jung

Co-founder of Superkind, the AI employee teams write to in Outlook, Teams and Slack. Henri helps companies, from small teams to the Mittelstand, hand their routine work to AI - without new tools, consultants or an in-house AI team.