Comparison · AI assistants
Curiosity and Langdock
AI for everyone, or context for the hard questions
Curiosity models industrial data; Langdock rolls out AI chat and agents across an organization.
Your data · your environment
Who each tool is for
Different problems, honestly stated
Curiosity
For industrial and regulated teams whose knowledge sits in engineering systems and structured records, where the answer depends on how those records connect, and where the deployment has to run on their own infrastructure.
Langdock
A Berlin company’s platform for rolling out AI chat, assistants, agents and workflows to a whole organization, with access to several language models and connectors to tools such as Confluence, Slack and Google Drive. It is built with GDPR and EU hosting in mind.
How Curiosity compares
Where the boundary falls
Langdock is a good way to give every employee a model. Curiosity is for the questions a model cannot answer from a drive: the ones that depend on how part data, tickets and maintenance logs connect.
Built for the industrial estate
General assistants are tuned for cloud collaboration tools. Curiosity connects engineering systems, data lakes, network drives and proprietary sources.
Structured context, not a chat layer
The graph models entities and relationships, so answers reason over how records connect rather than over retrieved passages.
On your infrastructure
On premises or private cloud, with data residency you control and the model of your choice.
Side by side
Feature comparison
The same five questions, answered for both.
Deployment
Cloud or self-hosted, ready to use
EU cloud or self-hosted
Data model
Managed context layer and knowledge graph
Chat and agents over connected tools
Industrial fit
Built for industrial and enterprise teams
AI adoption across the organization
Data reach
70+ systems connected, and yours through a connector you write
Office and collaboration tools
Residency
EU hosted, or entirely your own infrastructure
EU
Customization
What your team can change
Your own code, interface, data model and configuration. Langdock as its own documentation described it in October 2026. Where it says Not available, the vendor documents no such capability.
Your own code
C# endpoints, AI tools and tasks, compiled in Studio
JavaScript and Python code nodes in workflows
Your own interface
Your own front end in C#, deployed from git
MCP Apps render custom UIs inside chat
Data model
Typed node and edge schemas you define
Not available
Configuration as code
Every change committed to git, pushed to your remote
Workflow versions, agents and workflows via API
APIs and SDKs
REST API, C# and Python library, connector SDK
REST APIs, OpenAI and Anthropic compatible endpoints
AI integration
What AI can build and reach
Whether AI can build on it, who reviews the result, and which models it runs. Langdock as its own documentation described it in October 2026.
AI that builds
Sudo drafts endpoints, tools, schemas and screens
Workflow Builder and Integration Builder from a prompt
Review before it applies
Every change a diff a person approves, in a sandbox
Generated workflow opens as draft before publishing
Model choice
Any major provider, or an OpenAI compatible endpoint
30+ models, bring your own keys or endpoints
Models on your servers
Open weights on your servers, or air gapped
On premises via Helm, from 5,000 seats
Assistant permissions
Built in tools search as the user, per record
Connections act with each user's delegated rights
Agent protocols
MCP server and an OpenAI compatible API
MCP client and server, A2A, OpenAI compatible API
At Airbus, we developed the next generation of customer support AI assistance tools with Curiosity, enhancing our technical support’s ability to access and navigate vast data from multiple sources, including millions of documents.
Services Innovation Team
Airline Services at Airbus
AI assistants
Other comparisons in this group
Glean
Curiosity connects complex industrial data; Glean focuses on cloud applications.
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Curiosity connects complex industrial data; Gemini Enterprise is Google’s assistant for cloud work.
CompareYour data. Your infrastructure.