Langdock is one of Europe’s most successful AI adoption platforms — broad model choice, EU-hosted, and GDPR-compliant. But the Berlin GmbH you sign with is a wholly-owned subsidiary of a Delaware corporation, so the sovereignty story is more layered than it looks. And if you need real infrastructure control without committing to thousands of seats, or enterprise search that works out of the box across your existing systems rather than a DIY integration layer, the two platforms serve different needs. Here’s how they actually compare, category by category.
Mimirio
Langdock
What it is
AI platform that searches, answers, and takes action across all your company’s data — SharePoint, Teams, file servers, and more — deployed entirely under your control.
All-in-one AI adoption platform — chat, workflows, agents, and integrations across 40+ language models (GPT, Claude, Gemini, Mistral, Llama) in one governed interface.
Deployment model
On-premise, private cloud, or hybrid — deployed and scaled inside your own infrastructure, with no seat minimums and no hyperscaler dependency required.
SaaS by default; BYOC and on-premise (Kubernetes/Helm) exist, but only from enterprise-scale seat counts (2,000+ / 5,000+) — out of reach for most mid-market teams.
Data residency & sovereignty
Stays inside your infrastructure or an EU private cloud of your choosing — never leaves your control, never crosses a border you didn’t approve, and isn’t reachable by any foreign jurisdiction’s legal process.
EU-hosted by default (Frankfurt) — but Langdock GmbH is a wholly-owned subsidiary of Langdock Inc., a Delaware (US) corporation, so the same US CLOUD Act reach applies to the corporate parent regardless of where the data sits.
Customer data used for model training?
Never — and you don’t have to take our word for it. You control the model, the infrastructure, and the security, so it’s fully auditable, not just promised.
Never — Langdock states customer data is not used to train or improve any model.
AI models used
You choose the model that fits your security and compliance needs — on-prem, EU-hosted, or hybrid — and can switch it later without re-platforming. No vendor lock-in.
Model-agnostic by design — 40+ models from OpenAI, Anthropic, Google, Mistral, and Meta in one interface, swappable as new models ship.
Data source integrations
SharePoint, Teams, Outlook, Confluence, Jira, file servers, and more — connected and searchable out of the box, across every silo in your company, not just one vendor’s ecosystem or the SaaS tools you happen to already use.
Open integration layer (REST, MCP, Agent-to-Agent) plus custom vector-DB support (Qdrant, Azure AI Search, Pinecone) — flexible, but you bring and wire up your own data connectors and retrieval pipeline.
Permission-awareness
Every search result and every agent action respects your existing access permissions — enforced at the source system, not re-implemented or approximated by us, so nothing is ever exposed that a user couldn’t already see.
Governance controls exist at the platform/admin level; how granularly per-document permissions carry through to search and agent actions isn’t detailed publicly.
Compliance & certifications
GDPR and EU AI Act compliant by design, not retrofitted — on-prem or EU-private-cloud deployment keeps you outside most cross-border transfer questions entirely, with no foreign parent company, no CLOUD Act exposure, and no legal framework still being challenged in court.
GDPR-compliant, ISO 27001 certified, and SOC 2 Type II audited — but despite the German GmbH, Langdock is 100% owned by Langdock Inc. (Delaware, US), so it carries the same CLOUD Act exposure as US-headquartered vendors.
Governed agentic actions
Skills let Mimirio act on your behalf — draft a report, update a record, send a notification — with every action scoped to a specific permission, logged, and fully auditable after the fact, not just governed in principle.
Agents and Workflows can act, with a separate Governance platform for admin oversight — but public detail on per-action scoping and audit trails is thinner than what’s shown here for Mimirio.
Cost and Licence
Per seat, roughly €10–€50/month depending on volume, plus your deployment’s operational costs — one predictable quote for the whole deployment, not a stack of separate SKUs to reconcile. Exact pricing on request.
Enterprise-tiered, contact sales — no public self-serve pricing; dedicated SaaS deployment from 2,000+ seats, BYOC from 5,000+ seats.
Best fit for
Orgs that need enterprise knowledge search and safe agentic automation out of the box, without committing to thousands of seats for real infrastructure control.
Large enterprises that want one governed platform for broad multi-model AI adoption company-wide, and can commit to enterprise-scale seat counts to unlock deeper deployment options.
Where we win. Where we don’t.
Let’s explore your setup together in a 30-minute call. No slides, no spin, just an honest look at what fits.
Free & non-binding · Clarity in 30 minutes · Pilot project on request
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