curiosity

Comparison · Enterprise search

Curiosity and Mindbreeze InSpire
Search that respects rights, and then the graph

Curiosity adds a context graph to secure enterprise search.

Their deployment Appliance, on premises or cloud Their data model Enterprise search that keeps source rights Our deployment Cloud or your own servers Our residency EU, or your own

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.

Mindbreeze InSpire

An enterprise search and AI product from Mindbreeze, in Linz, available as an on premises appliance or in the cloud, with many connectors and search that respects each source’s access rights. It is long established in European enterprises.

How Curiosity compares

Where the boundary falls

Mindbreeze and Curiosity share sovereignty and permission-aware search. Curiosity differs in modeling a typed context graph over structured records, and in building tools on top of it.

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.

QuestionCuriosityMindbreeze InSpire

Deployment

Cloud or self-hosted, ready to use

Appliance, on premises or cloud

Data model

Managed context layer and knowledge graph

Enterprise search that keeps source rights

Industrial fit

Built for industrial and enterprise teams

European enterprises

Data reach

70+ systems connected, and yours through a connector you write

Many source systems

Residency

EU hosted, or entirely your own infrastructure

Configurable

Customization

What your team can change

Your own code, interface, data model and configuration. Mindbreeze InSpire as its own documentation described it in October 2026. Where it says Not available, the vendor documents no such capability.

QuestionCuriosityMindbreeze InSpire

Your own code

C# endpoints, AI tools and tasks, compiled in Studio

Java SDK plugins, JavaScript transformers, on the appliance

Your own interface

Your own front end in C#, deployed from git

Insight App Designer, React library, embeddable Insight Apps

Data model

Typed node and edge schemas you define

Metadata properties from mappings and enrichment

Configuration as code

Every change committed to git, pushed to your remote

Snapshots versioned as files, deployed via CI/CD

APIs and SDKs

REST API, C# and Python library, connector SDK

REST, gRPC and Protobuf APIs, Java SDK

AI integration

What AI can build and reach

Whether AI can build on it, who reviews the result, and which models it runs. Mindbreeze InSpire as its own documentation described it in October 2026.

QuestionCuriosityMindbreeze InSpire

AI that builds

Sudo drafts endpoints, tools, schemas and screens

Touchpoint Generator agent composes app views from requests

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

OpenAI, Azure OpenAI, or any OpenAI compatible endpoint

Models on your servers

Open weights on your servers, or air gapped

InSpire LLM runs open weights on GPU appliances

Assistant permissions

Built in tools search as the user, per record

Every agent call uses the requesting user's permissions

Agent protocols

MCP server and an OpenAI compatible API

MCP server and client, A2A, OpenAI compatible proxy

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

Your data. Your infrastructure.

Connected knowledge for AI systems