curiosity

Comparison · App and agent builders

Curiosity and Microsoft Copilot Studio and Power Apps
Agents for the suite, or tools for the plant

Curiosity builds tools on your whole industrial estate; Copilot Studio and Power Apps build agents and apps inside Microsoft 365.

Their deployment Microsoft cloud Their data model Agents and apps on Microsoft 365 and Dataverse 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.

Microsoft Copilot Studio and Power Apps

Microsoft’s low code tools on the Power Platform: Copilot Studio builds agents and extends Microsoft 365 Copilot, and Power Apps builds forms, approvals and line of business apps on Dataverse. Both use the Power Platform connector library, run in the Microsoft cloud and suit organizations standardized on Microsoft.

How Curiosity compares

Where the boundary falls

If the knowledge an agent needs is in Microsoft 365, Copilot Studio is the shortest path to one, and Power Apps is good at the form and the approval. Industrial knowledge usually also lives outside the suite, in ticket systems, file shares and engineering tools with permissions of their own. Studio builds on those records once they are connected.

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.

QuestionCuriosityMicrosoft Copilot Studio and Power Apps

Deployment

Cloud or self-hosted, ready to use

Microsoft cloud

Data model

Managed context layer and knowledge graph

Agents and apps on Microsoft 365 and Dataverse

Industrial fit

Built for industrial and enterprise teams

Organizations standardized on Microsoft

Data reach

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

Microsoft 365 and Power Platform connectors

Residency

EU hosted, or entirely your own infrastructure

Microsoft regions

Customization

What your team can change

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

QuestionCuriosityMicrosoft Copilot Studio and Power Apps

Your own code

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

Power Fx, C# plugins, TypeScript components, code apps

Your own interface

Your own front end in C#, deployed from git

Canvas and model driven apps, React code apps

Data model

Typed node and edge schemas you define

Dataverse tables, columns and relationships

Configuration as code

Every change committed to git, pushed to your remote

Dataverse Git integration with Azure DevOps or GitHub

APIs and SDKs

REST API, C# and Python library, connector SDK

Dataverse Web API, .NET and Python SDKs, connectors

AI integration

What AI can build and reach

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

QuestionCuriosityMicrosoft Copilot Studio and Power Apps

AI that builds

Sudo drafts endpoints, tools, schemas and screens

Copilot builds apps, data models and agents from prompts

Review before it applies

Every change a diff a person approves, in a sandbox

Maker accepts suggestions, agent goes live on publish

Model choice

Any major provider, or an OpenAI compatible endpoint

OpenAI, Anthropic, xAI, Mistral, Foundry models for prompts

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

SharePoint answers trimmed to the signed in user

Agent protocols

MCP server and an OpenAI compatible API

MCP client, A2A client, Dataverse 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