GDPR-Compliant Glean Alternatives for Teams

You are looking for a GDPR-compliant Glean alternative because your legal team wants to know exactly where personal data is processed before anything goes live, your CFO wants a price per seat you can defend, and your team wants something that works in the Outlook thread and the Teams channel they already live in - not in another standalone search console. You are not alone. Glean built a real reputation in enterprise search with a strong assistant and a growing agent platform, but for teams in Germany, Austria, Switzerland and the wider EU, the practical question in 2026 is different: how do you get AI that finds what you know AND does the task in your programs, keeps data in Europe, and does not need a 100-seat minimum to start.

This comparison looks at nine Glean alternatives through that lens, with an honest “Hosting / Data protection” column, prices from the vendor’s own page where available, and a clear verdict at the top. Superkind doesn’t replace your SharePoint, Confluence or Notion - it works with them, like a colleague, in Outlook, Microsoft Teams and Slack. For the deeper “Glean vs an AI employee” question, see our companion articles on Glean vs Microsoft 365 Copilot and Glean vs a Company Brain. And how Superkind’s ready-made AI team for enterprise knowledge answers questions with sources, onboards new hires, reviews contracts and ships a Monday digest.

Your AI team instead of Glean

Knowledge FinderOnboarding BuddyPolicy GuardMonday Digest

ActivityChatTeams

DknowledgeDACH-Ops

MS

Mira Schulz09:12

What is our current list price for the Pro plan for a non-profit customer in Germany, and which discount rules apply?

Knowledge FinderAI employee09:12

Routine · every new question in #knowledge

Pro is EUR 39 per seat per month on an annual term. Non-profits registered as gemeinnützig in Germany get a 30 percent discount on top (policy approved 14 March 2026, SharePoint > Pricing > NGO). Note: the FAQ on the sales site still shows 25 percent and needs to be updated.

SourceSharePoint > Pricing > NGO policy (14 Mar 2026)

Conflict flaggedPublic FAQ still shows 25 percent

OwnerMarkus (Pricing)

Answered with source · runs on its own

Try it for freeSee the whole team

What Is Glean?

Glean is a US-headquartered Work AI platform built around enterprise search. It connects to the tools a company already uses (SharePoint, Google Drive, Confluence, Notion, Jira, Salesforce, HubSpot, Slack, Teams, Outlook, Gmail and more), indexes the content with the right permissions, maps relationships in an enterprise knowledge graph, and puts that context to work in three products: Glean Search finds information wherever it lives, Glean Assistant answers questions and drafts from it, and Glean Agents run tasks from natural-language instructions on top. Glean Protect governs the tenant, and Glean Intelligence routes each task across 40+ open and frontier models¹.

Pricing is what everyone asks about. Glean does not publish prices on its own site. Third-party sources put the base Enterprise Flex seat around USD 45 to 50 per user per month, with a Work AI add-on of roughly USD 15 per user per month on top, and advanced AI usage billed from a pooled FlexCredits pot. Most reports cite a minimum of about 100 seats and an annual floor in the USD 60,000 range, with large deployments exceeding USD 240,000 per year^2,3,4. All of these are buyer-reported estimates, not list prices - the authoritative number for your team is a quote from Glean.

Why GDPR-Compliant Glean Alternatives?

Glean earned a serious reputation for a reason: it was one of the first vendors to treat enterprise search as the foundation for a company-wide AI, and the Work AI platform story (search + assistant + agents + governance) is coherent. These are the documented points that make teams in Germany and the EU look further.

• GDPR is possible, but your lift - Glean does not publish data-residency or GDPR details on its product overview page, so the DPA, the sub-processor list, the US-to-EU transfer mechanism (Standard Contractual Clauses or the EU-US Data Privacy Framework) and your regional deployment go on your legal review before go-live. A tool built EU-first ships with fewer open questions¹.
• Enterprise sales cycle, no self-serve path - Glean is sold by Glean sales. There is no free tier a 15-person team can test over the weekend. Compare that with Superkind, where a team starts free with up to EUR 150 in credits at app.superkind.ai.
• Seat minimum and six-figure floor - a minimum of about 100 seats and an annual floor reported around USD 60,000 place Glean firmly in the large-enterprise bracket. A 40-person team in Germany is paying for 60 seats it doesn’t use^2,3,4.
• Price per seat and FlexCredits - roughly USD 45-50 per user per month for the base seat, about USD 15 per user per month extra for Work AI, and heavy AI use draws from a pooled FlexCredit pot on top. Forecasting a busy Q4 on this is hard^2,3,4.
• Finds answers, doesn’t do the task - Glean is strong at retrieving the document and drafting from it. The quote still needs to be sent in Outlook, the invoice booked in DATEV, the ticket answered in Zendesk and the account created in HubSpot. Agents help, but the Microsoft 365 or Google Workspace side of the stack is where the daily work actually happens.
• DACH integrations are not the spotlight - Glean’s connector roster is strong for the US-centric SaaS stack (Salesforce, Zendesk, Jira, Confluence, GitHub). For a DACH team that lives in DATEV, lexoffice, SAP Business One or Personio, the native integration picture is thinner than for a general-purpose platform like Superkind with 1,500+ integrations.

Where Glean is strong: large US-centric enterprises with the budget for a 100-seat deal and a mature IT-and-legal organisation that can own the DPA review. For wider reading on enterprise search, see our Glean vs a Company Brain piece and our list of enterprise search tools.

The 9 GDPR-Compliant Glean Alternatives at a Glance

Every tool on this list is a credible Glean alternative for a knowledge-driven team in Germany, Austria, Switzerland or the EU. The “Hosting / Data protection” column is filled only from each vendor’s own pages; where a vendor does not clearly state EU processing, it says “check with vendor”. Prices as of October 2026.

Qatalog was another frequent name on Glean shortlists. ClickUp acquired Qatalog in 2025 and now bundles its enterprise search inside the ClickUp AI workspace, so it is no longer a standalone pick¹³. Dashworks, which also appeared on many comparison lists, was acquired by HubSpot in April 2025 and sunset in July 2025, with the web app and Slack bot disabled on 16 July 2025 - it is not a buyable option in 2026.

The 9 Glean Alternatives in Detail

Each entry says what the tool does well and where it stops. Prices are indicative for October 2026 and should be confirmed with the vendor.

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

Superkind is one AI employee you write to in Outlook, Microsoft Teams, Slack or the Superkind web app, like a colleague. It reads your connected sources (SharePoint, OneDrive, Google Drive, Confluence, Notion, Outlook, Teams, Slack, HubSpot, DATEV and 1,500+ more) with the right permissions, answers questions with the source attached, does the task in your programs and waits for your approval wherever you want it. Your rules and policies, prices, playbooks and decisions live in the Company Brain so the knowledge stays when a key person leaves. Hosted and processed in Europe, GDPR compliant, aligned with the EU AI Act (Regulation (EU) 2024/1689). Superkind doesn’t replace your SharePoint, Confluence or Notion - it works directly with them, like a colleague.

• Lives where your team already works - you message it in Outlook, Microsoft Teams, Slack or the web app like a colleague, no new tool to learn and no new search console to open after lunch.
• Does the task in your programs - 1,500+ integrations, including SharePoint, OneDrive, Google Drive, Confluence, Notion, HubSpot, SAP Business One, DATEV, DocuSign, Excel, Outlook, Microsoft Teams and Slack. Answers the question with the source, drafts the quote, books the invoice, writes the recap, creates the account.
• You decide what needs approval - sensitive steps wait for your OK, routine work runs on its own. For a knowledge workflow: Q&A with sources runs on its own, sending an email, changing a policy or creating an account waits for a human.
• Keeps your company knowledge - your policies, prices, playbooks, process decisions, approved responses and notes about customers live in the Company Brain. The knowledge doesn’t walk out when a senior employee leaves.
• Grows into your own apps - when a routine gets more complex you do not start over: build custom solutions and apps on the Superkind platform, on top of what Superkind already knows. Your own Super App, built yourself or with the Superkind team. It all belongs to you.
• Comes with a ready-made AI team - Knowledge Finder, Onboarding Buddy, Policy Guard and Monday Digest work from day one; adapt them or build your own.
• Start for free, unlimited users - up to EUR 150 in credits to start, no credit card; paid plans from EUR 50/month, never a price per seat (as of October 2026, excl. VAT).

Best for: Knowledge-driven teams in Germany, Austria, Switzerland and the EU that want one AI employee for the whole team, in Outlook, Microsoft Teams and Slack, hosted in Europe, without an enterprise sales cycle and without a seat minimum.

How to get started with Superkind: your AI team instead of Glean

Superkind gives you a ready-made team of AI employees for the work a knowledge-driven team does every day. Each one runs on its own, triggered by a new question, a new hire, a new outgoing contract or a schedule. A human stays in the loop for the moves that matter - sending a contract, creating an account, changing a public policy. Hosted in Europe, built on 1,500+ integrations including SharePoint, OneDrive, Google Drive, Confluence, Notion, Outlook, Teams, Slack, HubSpot, SAP Business One and DATEV.

You do not start from scratch: Superkind comes with ready-made AI employees that do more than find the document. They work automatically in the background on every new email, every new ticket and every Monday morning, and you decide which steps wait for a human before anything goes out. Use them right away, adapt them, or build your own.

Knowledge FinderAnswers the question, with the sourceOnboarding BuddyWalks every new hire through week 1Policy GuardChecks every outgoing contractMonday DigestSummarises last week every Monday 07:00

Knowledge Finder

AI employee for company knowledge

Most knowledge is already written down somewhere - in SharePoint, in an Outlook thread, in a Teams channel or a PDF on someone’s laptop. The Knowledge Finder reads it all with the right permissions, answers questions in plain language, shows the source behind every answer, and spots when two documents say different things so a human can fix it before anyone acts on the wrong one.

Works in+ 1,700 more

ActivityChatTeams

DknowledgeDACH-Ops

MS

Mira Schulz09:12

What is our current list price for the Pro plan for a non-profit customer in Germany, and which discount rules apply?

Knowledge FinderAI employee09:12

Routine · every new question in #knowledge

Pro is EUR 39 per seat per month on an annual term. Non-profits registered as gemeinnützig in Germany get a 30 percent discount on top (policy approved 14 March 2026, SharePoint > Pricing > NGO). Note: the FAQ on the sales site still shows 25 percent and needs to be updated.

SourceSharePoint > Pricing > NGO policy (14 Mar 2026)

Conflict flaggedPublic FAQ still shows 25 percent

OwnerMarkus (Pricing)

Answered with source · runs on its own

Try Knowledge Finder

Onboarding Buddy

AI employee for employee onboarding

Every new hire starts with the same 40 questions: where do I file the invoice, who approves annual leave, where is the brand folder, who owns the Slack channel for the French office. The Onboarding Buddy greets them in Teams on day one, answers from the real HR, IT and process documents with the source attached, and books the right intro meetings. Account creation and anything that costs money waits for the people manager.

Works in+ 1,700 more

Superkind

New chat

My tasks

AI employees

Onboarding Buddy

Knowledge Finder

Policy Guard

Chat with Sabine Nowak (new hire, Sales)

First day, welcome. Walk Sabine through the week 1 checklist from Personio, answer her questions from our HR and IT handbooks, and book the three intro meetings with Markus, Nadine and Daniel. Wait for her people manager before any account is created.

Reasoning ⌄

Onboarding Buddy 08:40

Routine · every new hire in Personio

Welcomed Sabine at 08:30, walked her through the week 1 checklist from Personio, answered 11 questions so far (dress code, home-office rules, DATEV for travel expenses, SharePoint folder for brand, French-office Slack owner), booked the three intro meetings in her Outlook calendar. Account creations for HubSpot, DocuSign and SharePoint are drafted and waiting on Daniel’s OK.

Day1 of 5 (week 1 checklist)

Questions answered11 - all with a linked source

Pending approval3 account creations (HubSpot, DocuSign, SharePoint)

Create three accounts for Sabine NowakHubSpot, DocuSign and SharePoint access per Sales role template. Waits for Daniel’s OK.

ApproveReject

Send a message ...

Try Onboarding Buddy

Policy Guard

AI employee for policy and contract checks

Legal, procurement and sales write the same clauses into every contract, and every so often one goes out with the old liability cap or the wrong data-processing wording. The Policy Guard reads every outgoing contract, every supplier NDA and every tender response, checks it against the current policy in SharePoint, and posts a short review in Slack with the exact lines that need a redline before the contract is signed.

Works in+ 1,700 more

HomeDMsActivity

#contract-review

Policy GuardAI employee15:47

New outgoing contract in Outlook

Contract review for Möller Logistik GmbH (SaaS MSA, EUR 48,000 ARR). 2 issues against the current policy (SharePoint > Legal > Playbook v4.2, 1 Oct 2026): liability cap set to 6 months of fees, policy requires 12; data-processing clause still references the 2024 DPA, policy requires the 2026 version. Redline drafted in Word, ready to send after your OK.

ContractMöller Logistik SaaS MSA

Issues found2 - liability cap, DPA version

Policy sourceLegal Playbook v4.2 (1 Oct 2026)

Send redline to Möller LogistikWord redline with the two policy fixes marked. Waits for your OK.ApproveReject

Try Policy Guard

Monday Digest

AI employee for weekly team digests

Nobody has time to read 400 emails, 60 Teams messages and seven decision docs from last week. The Monday Digest walks through every connected source over the weekend, picks the decisions, the open questions and the three things most people missed, and posts a one-page summary in the team’s Teams channel at 07:00 Monday - with a direct link to every source.

Works in+ 1,700 more

ActivityChatTeams

Dmonday-digestDACH-Ops

Monday DigestAI employee07:00

Routine · every Monday 07:00

Week 44 digest for DACH-Ops: 3 decisions (new NGO discount approved, Munich office move to 15 Jan, pricing FAQ to be updated), 4 open questions (who owns the FR-office Slack, DATEV vs lexoffice for 2027, new MSA for Möller, RA-MICRO renewal), 2 things most people missed (updated holiday policy in Personio, new EU AI Act training due 30 Nov). Full summary with sources below.

Decisions3 - all linked to the source doc

Open questions4 - owner assigned where possible

Missed2 - new policy, EU AI Act deadline

Weekly digest · runs on its own

Try Monday Digest

Try SuperkindBuild your own

Every employee is ready to use right away. Or build your own on the platform.

Safe by default

Enterprise knowledge is full of personal data - employee records in Personio, customer notes in HubSpot, pricing in SharePoint, call summaries in Outlook. Superkind keeps it in Europe, honours each source’s permissions and never uses it to train models.

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

From the first task to your own app

1. 1

   Start

   Ready in minutes. Sign up for free, give Superkind the first task - “answer questions from our SharePoint and Confluence in the #knowledge channel, with the source” - and watch the first answer arrive in Teams the same morning.

2. 2

   Relief

   Tasks become routines. The Q&A you set up for #knowledge keeps running on every new question. You decide which steps wait for approval - anything that sends out a contract, changes a public policy or creates an account is a good first one.

3. 3

   Knowledge

   Learns from day one. Your policies, prices, process decisions, approved responses and customer notes live in the Company Brain. The knowledge never walks out when a senior employee leaves.

4. 4

   Growth

   When it gets more complex, you do not start over. Build your own onboarding or contract-review app on top of what Superkind already knows - your own Super App - with the Superkind team or yourself. It all belongs to you.

2. Microsoft 365 Copilot: Best for Microsoft 365 Shops

Microsoft 365 Copilot is the native enterprise AI for teams fully on Microsoft 365. It searches SharePoint, OneDrive, Outlook and Teams, chats about what it finds and drafts inside Word, Excel, PowerPoint and Teams. The list price is USD 30 per user per month on an annual commitment, on top of a qualifying Microsoft 365 licence; monthly billing is about USD 31.50⁵. For most Microsoft-centric teams, this is the search-plus-chat layer Glean would otherwise provide.

• Native to Microsoft 365 - searches SharePoint, OneDrive, Outlook, Teams and your Graph without a separate connector project.
• Inside the apps your team already opens - writes in Word, summarises in Outlook, generates slides in PowerPoint.
• EU Data Boundary available - Microsoft Cloud with an EU option; the scope, sub-processors and training stance belong in the DPA⁶.
• Honest limit - assists, does not act outside Microsoft 365. When the work after the answer ends in HubSpot, DATEV or SAP Business One, Copilot drafts the email and you still change the system by hand. For the deeper picture see our Is Copilot GDPR-compliant? and Copilot alternatives pieces.

Best for: Teams already standardised on Microsoft 365, Teams, SharePoint and Outlook who want search and drafting the Microsoft way.

3. Gemini Enterprise: Best for Google Workspace Teams

Gemini Enterprise is Google’s work AI: Gemini inside Gmail, Drive, Docs and Meet, chat across the company’s connected data and prebuilt agents. Pricing is from about USD 21 per user per month on an annual commitment for the Business tier, with higher tiers priced per seat and Enterprise sold by Google Cloud sales⁷. For a company fully on Google Workspace, it is the natural fit the way Microsoft 365 Copilot is for a Microsoft 365 company.

• Gemini in Workspace - summaries, writing help and analysis inside Gmail, Docs, Sheets and Meet.
• Chat and search - one place to ask questions across your company’s connected data.
• EU regions available - Google Cloud EU regions (e.g. europe-west3 Frankfurt) are available; confirm in the DPA.
• Honest limit - built around Google Workspace. A company in DACH that lives in Microsoft 365, DATEV and SAP Business One will get less from it than a Google-Workspace-first team.

Best for: Companies on Google Workspace with Drive and Gmail as the source of truth, who want AI inside the tools they already open.

4. Guru: Best for a Curated Knowledge Base with AI on Top

Guru is a different shape of answer than Glean. Instead of indexing everything and ranking results, Guru asks you to publish “cards” - short, structured answers with a verified owner and an expiry date - and then layers AI Answers on top of that curated base. Pricing starts at the All-in-One plan around USD 15 per user per month on an annual term, with Enterprise sales-led⁸. For teams that want a maintained knowledge base rather than open search, Guru is the shortlist pick.

• Verified cards with ownership - every card has an owner and a verification cadence, so the answer doesn’t quietly go stale.
• Browser extension and chat-app integration - cards appear in Slack, Teams and the browser where the question comes up.
• AI Answers - generated from the verified cards first, with a clear fallback when the knowledge isn’t in Guru.
• Honest limit - the curation is the product; if your team won’t keep cards fresh, Guru goes quiet. The 10-seat minimum on some plans also raises the bar for very small teams. EU data residency is an Enterprise tier - confirm in the DPA.

Best for: Teams with a dedicated knowledge or enablement owner who commit to maintaining a curated knowledge base.

5. Perplexity Enterprise Pro: Best for Research with Cited Sources

Perplexity Enterprise Pro is an AI answer engine with every answer linked to its source. It searches the web and your uploaded files, runs in shared Spaces, and comes with SSO, SCIM (for organisations with 50+ seats), admin console, no training on business data and SOC 2 Type II. Pricing is USD 40 per seat per month or USD 400 per seat per year (a 20% discount), billed by active seats⁹. It is the alternative when the job is research rather than finding internal documents.

• Answers with sources - every statement links to where it comes from, which makes it a different kind of trust than “the AI said so”.
• Spaces and file upload - shared research workspaces per team or project.
• Enterprise controls - SSO, SCIM (50+ seats), audit log, admin console, no training on business data.
• Honest limit - a research tool, not an enterprise-search replacement for your SharePoint and Confluence. US vendor; confirm hosting region and training stance in the DPA.

Best for: Market research, competitive analysis, sales prep and analyst-style work where sources matter.

6. Notion AI: Best for Teams Already on Notion

Notion AI is Glean’s closest match if your knowledge already lives in Notion. Instead of a separate search console, the AI works directly in your wiki, project pages and meeting notes - and Enterprise Search extends into connected apps like Slack, Google Drive, GitHub and more. The Business plan is USD 20 per member per month on annual billing (USD 24 monthly), Enterprise is custom; Enterprise adds zero data retention with the AI providers¹⁰.

• Notion Agent - writes, edits and organises pages in your workspace.
• AI Meeting Notes - records and summarises meetings, filed in the right page.
• Enterprise Search - searches across connected apps alongside Notion content.
• Honest limit - if your knowledge lives in SharePoint, Google Drive or Confluence first, Notion AI is a secondary search over them, not the home. Confirm EU hosting in the DPA.

Best for: Project and product teams whose wiki, roadmap and meeting notes already live in Notion.

7. Elastic (Search AI Platform): Best for Build-Your-Own Search and RAG

Elastic is the open, build-your-own end of this list. The Search AI Platform gives engineering teams hybrid search, vector search and RAG building blocks they can wire into whatever front end they want - a help centre, an internal portal, an AI agent. Elastic Cloud is usage-based with EU regions, and the self-managed path keeps every byte on your own infrastructure¹¹. It is the alternative when you want to own the stack rather than buy a finished Work AI product.

• Hybrid and vector search - the primitives for a modern search layer, not a pre-packaged product.
• Deploy anywhere - Elastic Cloud in EU regions, your own cloud, or on-premises.
• Open source core - no vendor lock-in on the retrieval layer.
• Honest limit - this is a platform for engineers, not a product for a 15-person team. Finished UX, governance and connectors are your build.

Best for: Engineering-led teams that want to own the search and retrieval layer underneath their own AI applications.

8. Langdock: Best European-Headquartered Alternative

Langdock is a Berlin-based AI workspace that gives your team 40+ models in one chat, hosted in the EU. Employees pick the right model for the task, admins keep control over access and data, and the workspace can be deployed managed, in your own cloud or on-premises. Pricing is from about EUR 25 per user per month (excl. VAT) with a 7-day free trial; enterprise is sales-led¹². For a DACH company that wants a European-headquartered vendor with real EU hosting, Langdock is a strong pick.

• 40+ models in one chat - models from several providers, with admin controls per team.
• Custom agents and workflows - agents included, workflows as an add-on for high-volume automations.
• EU deployment - hosted on EU infrastructure, SOC 2 Type II, ISO 27001 reported; managed, own cloud or on-premises.
• Honest limit - a chat workspace first; the “do the task in your programs with approval and routines” story is different in shape from Superkind.

Best for: European companies that want model choice, EU hosting and the option to self-host.

9. nele.ai: Best for Small and Mid-Sized German Teams on a Tight Budget

nele.ai comes from GAL Digital in central Hesse and is built for German companies that want to start small, with EU hosting and no per-seat pricing. You pay for usage, not per person, so the whole team can use it from day one. Pricing is credit-based with enterprise tiers quoted by the vendor; the plans combine access to GPT, Claude and Gemini with Word and Excel add-ins, a prompt library and knowledge databases¹⁴.

• Several models in one place - GPT, Claude and Gemini without a separate contract each.
• EU hosting in Germany - servers in the EU with a German location, no training on your data.
• Personal-data filter - personal data can be removed before AI processing and reinserted afterwards.
• Honest limit - a chat tool with add-ins, not a full Work AI platform. The enterprise-search story is lighter than Glean’s or Notion’s.

Best for: Small and mid-sized German teams who want the whole team on AI without a price per seat.

Feature Comparison: Superkind vs Glean

Side by side on the criteria that matter for a knowledge-driven team in Germany or the EU: where the AI lives, what it can act on, approval, team knowledge, hosting, price. Glean is a Work AI platform grounded in enterprise search; Superkind is a general AI employee that works directly with the sources Glean would index and does the task after the answer is found.

Glean is the deeper tool for building an enterprise-search programme in a large US-centric company. Superkind is the broader tool for the team’s daily knowledge work in the channels the team already uses, with 1,500+ integrations, hosted in Europe, from EUR 50/month. Many teams run both: Glean for deep enterprise search in a 500-person company, Superkind in Outlook, Teams and HubSpot for the daily tasks that come after the answer.

Who Benefits Most from Each Choice

Mid-sized DACH teams on Microsoft 365 or Google Workspace

Superkind pays off fastest here. Glean’s ~100-seat minimum and six-figure floor are hard to defend for a team of this size, and the search-only answer leaves the actual work (reply, book, send, update) with your people. One AI employee in Outlook, Microsoft Teams or Slack - with a ready-made team of four for knowledge Q&A, onboarding, policy checks and the Monday digest - gives you the finder-of-documents job and the do-the-task job in one tool, hosted in Europe, from EUR 50 per month. For the native search layer, add Microsoft 365 Copilot or Gemini Enterprise.

Large enterprises with a dedicated knowledge or IT programme

This is where Glean belongs on the shortlist, next to Microsoft 365 Copilot (if Microsoft is the stack) and Notion AI (if the wiki is Notion). The budget supports the seat minimum, there is an owner for the connector programme, and the enterprise knowledge graph pays back over time. Superkind sits alongside, in Outlook, Teams and Slack, as the AI employee that acts in the systems after the search layer finds the answer.

Teams in regulated industries or with a strong DACH tech stack

For a team deep in DATEV, SAP Business One, Personio, lexoffice or Kanzlei software, the native-integration picture matters more than the search index. Superkind’s 1,500+ integrations include the DACH stack natively; where a program has no API (RA-MICRO, CAS genesisWORLD, abas ERP), Superkind works in it natively via computer use in the browser or the desktop client - no “you need a cloud edition” blocker. Langdock is the EU-headquartered pick when model choice and self-hosting matter, and Notion AI is the pick when knowledge already lives in Notion.

Switching from Glean to Superkind (or Running Both)

If you decided Glean is too much for a team of your size, or you want an AI employee for the work that lives outside the search console, the first week looks like this.

1. 1

   Sign up for free and connect one source

   At app.superkind.ai: unlimited users, up to EUR 150 in starting credits, no credit card. Connect your SharePoint, Google Drive or Confluence and your sales Outlook mailbox. 10 minutes.

2. 2

   Give the Knowledge Finder your first batch of questions

   Pick last week’s five most-asked questions in Teams (pricing exceptions, onboarding details, policy references). Forward them to Superkind: “Answer these from our SharePoint and Confluence with the source attached.” Approve or correct the answers.

3. 3

   Turn one task into a routine

   “Every new question in the #knowledge Teams channel runs through the Knowledge Finder, with the source.” Set which steps need your approval - account creation, outgoing contracts, changes to published policy are good first ones.

4. 4

   Keep Glean for deep search, if you have it

   Superkind handles the question-to-task layer in Outlook, Teams and Slack. If you already pay for Glean for deep enterprise search across 50 connectors, you can let Superkind route the question to Glean and act on the result.

Data Protection and EU Hosting

A company’s knowledge base is some of the most sensitive data a team handles: employee records in Personio, customer notes in HubSpot, pricing in SharePoint, contracts in DocuSign, call summaries in Outlook. Under GDPR it is personal data and commercially sensitive data. Under the EU AI Act (Regulation (EU) 2024/1689), using AI to process it is a decision you document¹⁵. Glean can likely be run GDPR-compliantly, but the DPA, the sub-processor list, the US-to-EU transfer mechanism and the FlexCredit/Work AI model all need review. The question is which vendor comes set up for the rules out of the box, and which one needs the review.

For an enterprise-knowledge workflow this matters at two levels. First, almost every search result contains personal data (names, emails, salary bands, customer notes, deal sizes) and commercially sensitive data (prices, roadmaps, policies). Second, under Article 4 of the EU AI Act, everyone using the tool needs basic AI literacy - which means a written policy on when to override an AI-drafted answer, how to handle a question from a customer about a policy the AI retrieved, and who signs off on account creation or an outgoing contract. Superkind uses AI models from OpenAI, Anthropic, Mistral and Google, processed in Europe, with GDPR and EU AI Act seals powered by heyData.

For wider reading, see our solutions for knowledge capture and employee onboarding, and the integrations page for the full list of 1,500+ systems Superkind connects to.

6 Tips for Picking a Glean Alternative

1. Start with one knowledge process, not a platform

Pick one process - answering the top-10 recurring questions in Teams, onboarding a new hire, reviewing one outgoing contract against your policy, the Monday digest. Get it running end to end with your approval before you add the next one. One process live beats a six-month evaluation of five tools. Superkind runs this way by design, with 1,500+ integrations including SharePoint, HubSpot and DATEV ready on day one.

2. Separate “find” from “act”

List where your team searches today (SharePoint, Confluence, Notion, email, Teams) and where the work ends after the search (sending a quote in Outlook, booking an invoice in DATEV, creating an account in HubSpot). Glean, Copilot and Gemini cover the finding; Superkind covers both the finding and the doing, with approval where it matters.

3. Treat GDPR and the EU AI Act as design input

Match EU hosting, no training on your data, a signed DPA, respect for each source’s permissions, an audit log and basic AI literacy for every user (EU AI Act Article 4). A tool that cannot show you these is not ready for a European knowledge workflow, however good the demo looks¹⁵.

4. Watch the seat minimum and the credit meter before you sign

Consumption pricing and seat minimums both sound friendly in a demo and bite in month three. Glean’s reported ~100-seat minimum means a 40-person team pays for 60 seats it doesn’t use. Prefer unlimited-user pricing with transparent usage. Superkind starts from EUR 50 per month for the whole team.

5. Put your company knowledge in one place

Your policies, prices, playbooks, process decisions and approved responses should live where the AI can read them. In Superkind this is the Company Brain. Written down once, used every time by every AI employee - and it stays when a senior person leaves.

6. Measure what matters, not what is easy

Time to answer, questions answered with a source, hours saved on onboarding, policy issues caught before sign-off, decisions missed per week before vs after. Do not chase “AI touches” in isolation - a high AI-touch rate on bad answers costs you trust later.

Conclusion

Glean built a real platform for enterprise search, and if you are a US-centric 500-person company with a dedicated knowledge programme and a budget for a 100-seat deal, it is still a credible pick. For a knowledge-driven team in Germany, Austria, Switzerland or the EU, the honest 2026 answer is different: pick an AI employee that lives in Outlook, Microsoft Teams and Slack, works directly with your SharePoint, Confluence and Notion through 1,500+ integrations including HubSpot, SAP Business One, DATEV, SharePoint and DocuSign, keeps a human in the Approve / Reject loop on the moves that matter, and is hosted in Europe - and add a native search layer like Microsoft 365 Copilot (Microsoft 365) or Gemini Enterprise (Google Workspace) on top only when the workload on one platform justifies it.

The honest next step: try Superkind free for one knowledge process - the top-10 recurring questions in your #knowledge Teams channel, the week-1 onboarding for your next hire, the policy check on an outgoing contract, the Monday digest for your team - and see how it runs end to end with 1,500+ integrations in your own stack. Or book 30 minutes and we will show you how it looks for your team.

Frequently Asked Questions

Related Articles

• Glean vs Microsoft 365 Copilot: Which Enterprise AI Search Fits Your Team?
• Glean vs a Company Brain: Enterprise Search Retrieves Documents, a Company Brain Remembers How You Work
• The 10 Best Microsoft Copilot Alternatives in 2026
• The Best AI Tools for Enterprise Search in 2026
• Gemini Enterprise vs Copilot vs a Company Brain

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.