Langdock - 2026 Pricing, Features, Reviews & Alternatives

Langdock is an all-in-one generative AI platform designed for organization-wide AI adoption across departments including Finance, Marketing, Sales, HR, IT, and Operations. Deployed as multi-tenant SaaS on Microsoft Azure in the EU, single-tenant SaaS, bring-your-own-cloud, or on-premises via Kubernetes Helm charts, the platform provides AI chat, customizable agents, no-code workflow automation, enterprise search, and a unified API layer within a single governed environment. Model-agnostic by design, Langdock provides access to models from OpenAI (including GPT-5), Anthropic (Claude), Google, Mistral, Meta, and others, with no vendor lock-in and the flexibility to switch models per conversation based on performance, cost, or use case.

Core capabilities include interactive AI chat with support for document uploads (PDF, DOCX, CSV, XLSX, PPT, MD, TXT), image analysis, audio and video transcription, voice input, web search, deep research, spreadsheet data analysis, and image generation. Agents are configurable AI assistants built with reusable instruction sets (Skills), knowledge folders, and integration connections that activate automatically based on context. A visual no-code workflow builder orchestrates multi-step automations connecting agents, third-party apps, and decision logic end-to-end. Native integrations cover SharePoint, Confluence, Jira, Slack, Notion, Gmail, Outlook, Microsoft Teams, Google Drive, Power BI, Looker, AWS Kendra, Stripe, and more. A unified API compatible with OpenAI, Anthropic, Google, and Mistral formats supports retrieval-augmented generation (RAG) pipelines via Embedding, Knowledge Folder, and Agent APIs.

Langdock targets companies across professional services, mechanical and plant engineering, education, pharmaceuticals, chemicals, financial services, energy, and technology verticals, including regulated industries and large enterprises. The platform is GDPR compliant, ISO 27001 certified, and SOC 2 Type II audited, with data encrypted in transit (TLS 1.2+) and at rest (AES-256). Workspace-level admin controls govern model access, permissions, data retention, agent review and approval, automated policy checks, and usage analytics. Customer data is never used to train or fine-tune AI models. EU hosting, bring-your-own-cloud, and on-premises options provide full data sovereignty. A guided onboarding experience with tasks, points, and a leaderboard supports adoption at scale.