Langdock
Bot platforms software
Chatbots software
General-purpose AI agents
AI chatbots software
AI writing assistants
Agentic AI software
AI agents
Conversational intelligence software
Generative AI software
Large language model operationalization (LLMOps) software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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€20 per user per month
Free Trial
Free version unavailable
Small
Medium
Large
- Professional services (engineering, legal, consulting, etc.)
- Media and communications
- Retail and wholesale
What is Langdock
Langdock is an enterprise-focused generative AI platform used to deploy and govern LLM-powered chat and agent experiences for internal teams. It supports common use cases such as internal Q&A over company knowledge, drafting and rewriting content, and building task-oriented assistants that can use tools and data sources. The product emphasizes controlled access to models and data, reusable prompts/assistants, and administrative features for managing usage across an organization.
Enterprise controls and governance
Langdock is positioned around organizational deployment rather than individual-only usage. It provides administrative capabilities to manage access, usage, and shared assistants across teams. This focus can reduce ad-hoc tool sprawl and makes it easier to standardize how employees use LLMs.
Internal knowledge chat use cases
The platform supports chat experiences designed for employees to query company information and documents. This aligns with common enterprise adoption patterns where the first value comes from internal support, enablement, and knowledge retrieval. It is oriented toward internal productivity rather than customer-facing web chat alone.
Reusable assistants and prompts
Langdock supports creating and sharing structured assistants/prompt configurations for repeatable workflows. This helps teams move from one-off chats to consistent outputs for writing, summarization, and operational tasks. Shared assets also make it easier to onboard new users and maintain consistent guidance.
Limited public implementation detail
Publicly available documentation and independently verifiable technical detail (for example, supported connectors, evaluation methods, and deployment architectures) can be limited compared with more developer-centric platforms. This can make early technical due diligence harder for buyers. Organizations may need vendor-led discovery to confirm fit for specific security and integration requirements.
Not primarily customer-chat focused
While it can support conversational experiences, Langdock’s core orientation is enterprise LLM enablement for internal users. Companies seeking a full customer engagement stack (routing, contact-center workflows, channel management, and deep CRM/service integrations) may need additional systems. This can increase overall solution complexity for customer support or sales chat deployments.
Integration depth varies by stack
Value depends on how well the product connects to an organization’s identity provider, document repositories, and business systems. If required connectors or APIs are not available out of the box, teams may need custom integration work. That can extend time-to-value and increase reliance on internal engineering resources.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Trial | Free — 7-day free trial (no credit card) | 5€ AI model credits included; test all platform features; invite team members to trial. |
| Business | €25 per user / month (monthly, excl. VAT) — (annual billing: Save 20% → €20 per user/month) | Up to 1,000 users; model-agnostic chat & custom AI agents; AI models included in the subscription; SSO / SCIM / SAML; all features included. |
| Enterprise | Custom pricing (contact sales) | 1,000+ users; dedicated deployment possible; custom support; flexible pricing for large rollouts. |
Workflows (add-on, priced per workspace):
- Starter: Included in Chat & Agents — 2,500 workflow runs / month; unlimited steps per workflow (fair use limits apply); AI model usage billed per API pricing; 30-day run retention.
- Business: Examples shown on official site — €539 / workspace / month for 40k runs; €1,199 / workspace / month for 100k runs; AI model usage billed per API pricing (includes a Langdock surcharge). |
API (add-on) — usage-based (pay-as-you-go): Pricing model: Pay-as-you-go (per token pricing, Langdock adds a surcharge; all prices excl. VAT). Free tier/trial: Not indicated for API product on the pricing pages. Example costs (from official API/models pages):
- GPT-5.2: ~€1.63 / 1M input tokens; ~€13.04 / 1M output tokens.
- GPT-5: ~€1.16 / 1M input tokens; ~€9.32 / 1M output tokens.
- Gemini 3 Pro Preview: ~€2.33 / 1M input tokens; ~€13.99 / 1M output tokens. (Official site shows ~40+ models with per-token input/output prices.) Notes: Langdock states API prices are derived from model provider USD rates plus a Langdock surcharge (site references a 10% surcharge in some pages). See the official API/models pages for the full model list and per-token prices.
