Comparison · AI assistants
Curiosity and Glean
Cloud companies, or the industrial estate
Curiosity connects complex industrial data; Glean focuses on cloud applications.
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.
Glean
A work assistant that searches across cloud applications such as Slack, Google Drive, Jira and Salesforce, building an index and a graph of people, content and activity to answer questions over them. It runs as a cloud service and targets productivity for knowledge workers in general.
How Curiosity compares
Where the boundary falls
Glean is built for organizations whose knowledge lives in a modern SaaS stack. Curiosity is built for teams whose knowledge lives in engineering systems and structured records, and runs on their own infrastructure.
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
Cloud, single tenant
Data model
Managed context layer and knowledge graph
Search over documents
Industrial fit
Built for industrial and enterprise teams
Horizontal, knowledge workers
Data reach
70+ systems connected, and yours through a connector you write
SaaS apps and files
Residency
EU hosted, or entirely your own infrastructure
US cloud
Customization
What your team can change
Your own code, interface, data model and configuration. Glean 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
No hosted code, custom tools call your APIs
Your own interface
Your own front end in C#, deployed from git
Web SDK embeds search box, results and chat
Data model
Typed node and edge schemas you define
Custom datasources and metadata via Indexing API
Configuration as code
Every change committed to git, pushed to your remote
Agents as file directories kept in version control
APIs and SDKs
REST API, C# and Python library, connector SDK
Client, Indexing and Platform APIs, Python, TypeScript, Java, Go
AI integration
What AI can build and reach
Whether AI can build on it, who reviews the result, and which models it runs. Glean as its own documentation described it in October 2026.
AI that builds
Sudo drafts endpoints, tools, schemas and screens
Agent Builder builds agent steps from natural language
Review before it applies
Every change a diff a person approves, in a sandbox
Drafts and private preview before saving live
Model choice
Any major provider, or an OpenAI compatible endpoint
OpenAI, Anthropic, Google, Amazon models, bring your keys
Models on your servers
Open weights on your servers, or air gapped
Not available
Assistant permissions
Built in tools search as the user, per record
Agents use the signed in user's permissions
Agent protocols
MCP server and an OpenAI compatible API
Glean MCP server, remote MCP tools, A2A
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
Microsoft 365 Copilot
Curiosity reaches the whole industrial estate; Microsoft 365 Copilot works across Microsoft’s own suite.
CompareGemini Enterprise
Curiosity connects complex industrial data; Gemini Enterprise is Google’s assistant for cloud work.
CompareAmazon Quick
Curiosity models industrial records; Amazon Quick is AWS’s assistant for search, research and BI.
CompareYour data. Your infrastructure.