curiosity

Comparison · App and agent builders

Curiosity and Appian
Orchestrating a process, or grounding a decision

Curiosity builds tools on your connected records; Appian automates processes.

Their deployment Vendor cloud or self-managed Their data model Process and case data 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.

Appian

A process automation platform with low code development, case management and AI agents, used heavily in financial services and the public sector for regulated workflows. Its strength is orchestrating the steps of a process.

How Curiosity compares

Where the boundary falls

Appian runs the steps of a regulated process well. Studio supplies what a step needs to be decided correctly: the records behind it, connected across systems and filtered by who is asking.

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.

QuestionCuriosityAppian

Deployment

Cloud or self-hosted, ready to use

Vendor cloud or self-managed

Data model

Managed context layer and knowledge graph

Process and case data

Industrial fit

Built for industrial and enterprise teams

Financial services, public sector

Data reach

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

Integrations per process

Residency

EU hosted, or entirely your own infrastructure

Vendor regions

Customization

What your team can change

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

QuestionCuriosityAppian

Your own code

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

Java plugins, expression rules, runs on Appian

Your own interface

Your own front end in C#, deployed from git

SAIL interfaces, sites and portals

Data model

Typed node and edge schemas you define

Record types with relationships, data fabric

Configuration as code

Every change committed to git, pushed to your remote

Deployment REST API for external CI/CD pipelines

APIs and SDKs

REST API, C# and Python library, connector SDK

REST APIs, Web APIs, MCP Server, 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. Appian as its own documentation described it in October 2026.

QuestionCuriosityAppian

AI that builds

Sudo drafts endpoints, tools, schemas and screens

Composer and dev agent build objects from prompts

Review before it applies

Every change a diff a person approves, in a sandbox

Plan approval first, object versions to compare, roll back

Model choice

Any major provider, or an OpenAI compatible endpoint

Appian provider, Azure OpenAI, Google Cloud, preferred providers

Models on your servers

Open weights on your servers, or air gapped

Your own LLM on self managed Kubernetes, offline possible

Assistant permissions

Built in tools search as the user, per record

Agents query with the user's record level security

Agent protocols

MCP server and an OpenAI compatible API

MCP server and MCP client for agents

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