curiosity

Comparisons

How Curiosity compares
where the boundary falls

Most of these tools are good at what they were built for. These pages are about where the boundary falls, stated plainly enough to be useful when you are deciding.

Comparisons 40 Groups 6 Reviewed October 2026 Each page concedes What the other does well

App and agent builders

Builders

Built to turn a request into an app or an agent. The difference is the data, the permissions and the proof underneath.

Microsoft Copilot Studio and Power Apps

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

Microsoft Foundry

Curiosity builds tools on your connected records; Microsoft Foundry is Azure’s workbench for building agents.

IBM watsonx

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

Retool

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

Mendix

Curiosity builds tools on your connected records; Mendix is a low code platform for building applications.

OutSystems

Curiosity builds tools on a context graph; OutSystems is a platform for developing applications.

Appian

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

Salesforce Agentforce

Curiosity builds agents on industrial records; Agentforce builds agents on customer data.

ServiceNow and Moveworks

Curiosity builds tools on engineering knowledge; ServiceNow and Moveworks build agents on service workflows.

AI assistants

Assistants and retrieval platforms

Built to answer over your content. The difference is the structure underneath.

Glean

Curiosity connects complex industrial data; Glean focuses on cloud applications.

Microsoft 365 Copilot

Curiosity reaches the whole industrial estate; Microsoft 365 Copilot works across Microsoft’s own suite.

Gemini Enterprise

Curiosity connects complex industrial data; Gemini Enterprise is Google’s assistant for cloud work.

Amazon Quick

Curiosity models industrial records; Amazon Quick is AWS’s assistant for search, research and BI.

Atlassian Rovo

Curiosity connects the whole industrial estate; Rovo works across Atlassian’s Teamwork Graph.

Cohere and Aleph Alpha

Curiosity connects and models industrial data; Cohere and Aleph Alpha run sovereign models and assistants.

Mistral AI

Curiosity is the context; Mistral is a model and an assistant. Curiosity runs Mistral models.

Langdock

Curiosity models industrial data; Langdock rolls out AI chat and agents across an organization.

Vectara

Curiosity structures your records into a graph; Vectara serves retrieval over documents.

Onyx

Curiosity models industrial records into a graph; Onyx is an open source assistant over your documents.

Industrial AI

Industrial platforms

Built for the plant. The difference is how much of the estate they connect, and whose infrastructure they run on.

AVEVA and Cognite

Curiosity connects every industrial record; AVEVA and Cognite contextualize operational data.

SAP Joule

Curiosity connects records across vendors; Joule is SAP’s assistant and agents inside SAP applications.

Siemens Industrial Copilot

Curiosity connects your whole estate; Siemens copilots add AI inside Siemens software.

C3 AI

Curiosity gives you a context layer your teams build on; C3 AI sells enterprise AI applications.

Data platforms

Full platforms

Broad platforms for data and analytics. Curiosity is the context layer, and can be in production without one.

Palantir Foundry and AIP

Curiosity gives you a focused context layer; Foundry and AIP are a full operating system.

Databricks

Curiosity is a finished context layer; Databricks is a data platform to build agents on.

Snowflake

Curiosity connects records where they live; Snowflake runs agents over the data in its cloud.

Dataiku

Curiosity is a context layer teams build on; Dataiku is a platform for data science and AI projects.

Build it yourself

Graph stores and frameworks

Graph databases, search engines and frameworks to build a context layer on. Curiosity is the layer.

Neo4j

Curiosity gives you a finished context layer; Neo4j gives you a graph database.

Amazon Neptune

Curiosity gives you a finished context layer; Neptune gives you a managed graph store.

Graphwise GraphDB

Curiosity gives you a finished context layer; GraphDB gives you a semantic database.

Stardog

Curiosity gives you a finished context layer; Stardog gives you a semantic engine to model.

TigerGraph

Curiosity gives you a finished context layer; TigerGraph gives you a scalable graph database.

metaphactory

Curiosity gives you a finished context layer; metaphactory is a platform to model and explore a knowledge graph.

Elasticsearch

Curiosity ships as one system; Elasticsearch is a search engine to build on.

LangChain and LlamaIndex

Curiosity is the system; LangChain and LlamaIndex are frameworks to build one.

Dify

Curiosity is the system; Dify is an open source platform for building AI apps and agents.

Your data. Your infrastructure.

See it against your own data