Glean-Style EU-Compliant AI Workspace

The core move was not building another chat box, it was packaging AI into something an IT and legal team could actually approve. Langdock put a controlled layer between employees and foundation models, so a company can choose which models are allowed, keep prompts and outputs in audit logs, limit what internal systems agents can touch, and keep data in an EU compliant setup with a DPA and no training on customer data.

• In practice this looks like a company workspace where staff search company knowledge, run assistants, and trigger automations across tools like Slack, Google Drive, or Jira, while admins decide which connectors, models, and retention settings are turned on.
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• That is why Langdock looks more like an enterprise control plane than a model company. It routes requests across 40 plus models, adds governance and logging on top, then charges for seats, workflow runs, and model usage instead of trying to win on model quality alone.
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• The closest horizontal comparison is Glean. Glean also sits on top of company systems with permissions and governance, but it grew from search into assistants and agents. Langdock started from the European compliance bottleneck, then expanded into workflows and agents as trust opened the door.
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The next step is deeper replacement of point tools. As compliant AI access becomes table stakes, the winners will be the platforms that turn approved model access into everyday work, search, support triage, approvals, and internal app logic, all inside the same governed workspace.