
Deploy, manage, and integrate multiple AI models securely across your organization with a single, compliant API.
A model-agnostic platform for building custom AI workflows and agents, hosted in the EU for GDPR compliance.
For software development teams, especially in Europe, Langdock is a top choice for an AI platform. It provides a single, model-agnostic API to access over 40 LLMs within a secure, GDPR-compliant framework hosted in the EU. Its enterprise-ready features like on-premise deployment, ISO 27001/SOC 2 compliance, and centralized governance make it ideal for regulated industries.
Managing multiple AI model APIs, keys, and compliance policies.
High engineering overheadOne secure, compliant API to access all leading AI models.
Streamlined AI integrationLangdock is a powerful and highly relevant platform for development teams that need to operationalize multiple AI models without the integration and compliance headaches. Its focus on security, EU hosting, and model-agnosticism is a major advantage. The primary trade-off is its complex, multi-part pricing, which requires careful calculation of seat licenses, workflow runs, and API usage to predict the total cost.
Last reviewed: Reviewed June 2026 — Assessed platform features, developer API, pricing structure, and security compliance.
Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.
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Langdock provides a secure, model-agnostic platform for software development teams to integrate various LLMs into their applications. It offers a single API, custom workflow automation, and enterprise-grade governance to streamline AI adoption within a controlled, EU-hosted environment.
Langdock is a powerful and highly relevant platform for development teams that need to operationalize multiple AI models without the integration and compliance headaches. Its focus on security, EU hosting, and model-agnosticism is a major advantage. The primary trade-off is its complex, multi-part pricing, which requires careful calculation of seat licenses, workflow runs, and API usage to predict the total cost.
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