curiosity

Comparison · App and agent builders

Curiosity and IBM watsonx
Parts to assemble, or a layer to build on

Curiosity builds tools on a context graph; watsonx gives you IBM’s parts to search documents and orchestrate agents.

Their deployment IBM Cloud, hybrid or on premises Their data model Document search and agent orchestration 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.

IBM watsonx

IBM’s AI portfolio, including watsonx Discovery for search and document analytics and watsonx Orchestrate for building agents that act on business systems, available in IBM Cloud, in hybrid deployments and on premises. Large rollouts are often assembled with IBM’s services teams.

How Curiosity compares

Where the boundary falls

watsonx brings capable pieces for search and for agents. Curiosity connects your records into one typed, permission-aware graph first, so the agents and tools built on it trace their answers back to a record.

Grounded, not guessed

A tool Studio builds runs on the graph, so every figure it shows traces back to a record in a source system.

Your permissions, inherited

A generated tool cannot show a user anything the source system would not already show them, down to the individual record.

From prompt to production

The tool ships to real users with an audit trail, not as a prototype someone has to rebuild before it goes live.

Runs on your infrastructure

On premises or in your private cloud, with the language model you choose.

Side by side

Feature comparison

The same five questions, answered for both.

QuestionCuriosityIBM watsonx

Deployment

Cloud or self-hosted, ready to use

IBM Cloud, hybrid or on premises

Data model

Managed context layer and knowledge graph

Document search and agent orchestration

Industrial fit

Built for industrial and enterprise teams

Broad enterprise, often with services

Data reach

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

Business apps and documents

Residency

EU hosted, or entirely your own infrastructure

Configurable

Customization

What your team can change

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

QuestionCuriosityIBM watsonx

Your own code

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

Python tools in isolated containers, plus OpenAPI tools

Your own interface

Your own front end in C#, deployed from git

Orchestrate chat, brandable embedded web chat widget

Data model

Typed node and edge schemas you define

Not available

Configuration as code

Every change committed to git, pushed to your remote

YAML specs via ADK CLI, Git based CI/CD

APIs and SDKs

REST API, C# and Python library, connector SDK

REST API, Python ADK and CLI

AI integration

What AI can build and reach

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

QuestionCuriosityIBM watsonx

AI that builds

Sudo drafts endpoints, tools, schemas and screens

AI Builder creates and refines agents from descriptions

Review before it applies

Every change a diff a person approves, in a sandbox

Builder writes YAML spec, draft before live

Model choice

Any major provider, or an OpenAI compatible endpoint

OpenAI, Anthropic, Bedrock, Ollama, OpenAI compatible endpoints

Models on your servers

Open weights on your servers, or air gapped

On premises on Kubernetes, local models via Ollama

Assistant permissions

Built in tools search as the user, per record

OAuth on behalf of flow with user credentials

Agent protocols

MCP server and an OpenAI compatible API

MCP toolkits, A2A client, ADK MCP server

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