curiosity

Comparison · App and agent builders

Curiosity and Retool
An interface on your APIs, or a tool on your context

Curiosity builds tools on a context graph; Retool builds interfaces on the databases and APIs you point it at.

Their deployment Cloud or self-hosted Their data model Apps on databases and APIs 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.

Retool

A platform for building internal tools, workflows and agents on top of databases and APIs, with AI to generate apps from a prompt. It is popular with engineering teams, and it can be self-hosted.

How Curiosity compares

Where the boundary falls

Retool is a strong way to put an interface on data you have already joined and secured. Studio does the joining and the securing too: the records come connected, typed and permission-aware, so a generated tool can trace its answers.

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.

QuestionCuriosityRetool

Deployment

Cloud or self-hosted, ready to use

Cloud or self-hosted

Data model

Managed context layer and knowledge graph

Apps on databases and APIs

Industrial fit

Built for industrial and enterprise teams

Internal tools, led by engineering

Data reach

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

Databases and APIs you connect

Residency

EU hosted, or entirely your own infrastructure

Your choice

Customization

What your team can change

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

QuestionCuriosityRetool

Your own code

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

JavaScript and Python in queries and workflows

Your own interface

Your own front end in C#, deployed from git

AI app builder with React code, custom components

Data model

Typed node and edge schemas you define

Retool Database tables, fields and linked tables

Configuration as code

Every change committed to git, pushed to your remote

Source Control syncs apps and agents to git

APIs and SDKs

REST API, C# and Python library, connector SDK

Retool REST API, CLI and MCP server

AI integration

What AI can build and reach

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

QuestionCuriosityRetool

AI that builds

Sudo drafts endpoints, tools, schemas and screens

App builder agent builds and edits apps from chat

Review before it applies

Every change a diff a person approves, in a sandbox

Work on branches, data writes approved before publish

Model choice

Any major provider, or an OpenAI compatible endpoint

OpenAI, Anthropic, Gemini, Bedrock, custom AI providers

Models on your servers

Open weights on your servers, or air gapped

Self hosted Retool, custom provider for own endpoint

Assistant permissions

Built in tools search as the user, per record

Tool calls need the user's resource access

Agent protocols

MCP server and an OpenAI compatible API

MCP client for agents, Retool 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