Comparison · AI assistants
Curiosity and Amazon Quick
An AWS workspace, or a context graph
Curiosity models industrial records; Amazon Quick is AWS’s assistant for search, research and BI.
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.
Amazon Quick
AWS’s agentic workspace, launched as Quick Suite and the successor to Amazon Q Business, combining enterprise search, research, workflow automation and QuickSight BI. It runs on AWS and suits organizations already there.
How Curiosity compares
Where the boundary falls
Amazon Quick brings search and BI together for AWS customers. Curiosity models the entities and relationships across your records first, and runs where your data lives, inside AWS or outside it.
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
AWS managed
Data model
Managed context layer and knowledge graph
Search, research and BI
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 AWS data
Residency
EU hosted, or entirely your own infrastructure
AWS regions
Customization
What your team can change
Your own code, interface, data model and configuration. Amazon Quick 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
Restricted Python code blocks in Quick Automate
Your own interface
Your own front end in C#, deployed from git
Apps in Quick builds web apps, embedded analytics
Data model
Typed node and edge schemas you define
Datasets with joins and custom SQL
Configuration as code
Every change committed to git, pushed to your remote
Asset bundle export APIs, flow and automation versions
APIs and SDKs
REST API, C# and Python library, connector SDK
Quick Sight API through AWS SDKs
AI integration
What AI can build and reach
Whether AI can build on it, who reviews the result, and which models it runs. Amazon Quick as its own documentation described it in October 2026.
AI that builds
Sudo drafts endpoints, tools, schemas and screens
Apps in Quick and agents built from chat
Review before it applies
Every change a diff a person approves, in a sandbox
Preview before publish, admin approval workflows for sharing
Model choice
Any major provider, or an OpenAI compatible endpoint
Not available
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
On demand actions as user, automations service level
Agent protocols
MCP server and an OpenAI compatible API
MCP client, ACP to coding agents
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.
CompareMicrosoft 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.
CompareYour data. Your infrastructure.