Comparison · Enterprise search
Curiosity and Sinequa
Both serve regulated estates. One starts smaller.
Curiosity connects structured knowledge and reaches production faster.
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.
Sinequa
An enterprise search platform with a long history, used by large regulated organizations, with a wide connector library and search across structured and unstructured content, deployable in cloud, hybrid or on premises form. Rollouts are typically large and supported by dedicated teams.
How Curiosity compares
Where the boundary falls
Sinequa is a capable platform with a long history in this sector. The difference is the shape of the program: Curiosity begins with a free developer install and a graph your own engineers can evaluate.
A context graph, not document search
Document retrieval ranks files. Curiosity models the entities and relationships in your data, so what a model reasons over is the connected structure.
Structured records, not just text
Industrial knowledge lives in part data, revisions and serial numbers as much as in documents. Flattening it to text discards the part that matters.
Your infrastructure, your model
Runs where your data lives, with the language model you choose rather than a bundled one.
Side by side
Feature comparison
The same five questions, answered for both.
Deployment
Cloud or self-hosted, ready to use
Cloud, hybrid or on premises
Data model
Managed context layer and knowledge graph
Search over content
Industrial fit
Built for industrial and enterprise teams
Large regulated organizations
Data reach
70+ systems connected, and yours through a connector you write
Wide connector library
Residency
EU hosted, or entirely your own infrastructure
Configurable
Customization
What your team can change
Your own code, interface, data model and configuration. Sinequa 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
Not in public documentation
Your own interface
Your own front end in C#, deployed from git
Angular SBA framework, open source components
Data model
Typed node and edge schemas you define
Not in public documentation
Configuration as code
Every change committed to git, pushed to your remote
Not in public documentation
APIs and SDKs
REST API, C# and Python library, connector SDK
REST API, Angular libraries in TypeScript
AI integration
What AI can build and reach
Whether AI can build on it, who reviews the result, and which models it runs. Sinequa as its own documentation described it in October 2026.
AI that builds
Sudo drafts endpoints, tools, schemas and screens
ChapsAgents no code builder from natural language
Review before it applies
Every change a diff a person approves, in a sandbox
Not available
Model choice
Any major provider, or an OpenAI compatible endpoint
Model agnostic, Azure OpenAI or your chosen LLM
Models on your servers
Open weights on your servers, or air gapped
Any LLM, cloud or on premises
Assistant permissions
Built in tools search as the user, per record
Mirrors directory permissions in real time
Agent protocols
MCP server and an OpenAI compatible API
MCP server for search, agents call MCP servers
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
Enterprise search
Other comparisons in this group
Mindbreeze InSpire
Curiosity adds a context graph to secure enterprise search.
CompareiFinder by IntraFind
Curiosity adds a context graph and AI layer to secure German enterprise search.
CompareSquirro
Curiosity models industrial records; Squirro brings enterprise search and AI to financial services.
CompareYour data. Your infrastructure.