Curiosity

Curiosity is an industrial AI platform that connects enterprise data into a knowledge layer for search, analysis, and AI workflows. Deploy in cloud, private cloud, or on-premises.

AI 지식 관리 AI 지식 그래프

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Context graph for industrial AI

Curiosity is a context graph for industrial AI. It connects enterprise data into an AI-powered knowledge layer so teams can find, reuse, and trust answers across complex systems.

The product is designed for environments where information is spread across files, applications, and systems. Its core idea is to turn fragmented data into connected knowledge that can support search, analysis, and AI workflows in production.

Curiosity positions itself as an enterprise platform rather than a standalone chat tool. The site describes graph, search, and AI as a combined system that runs in the customer’s environment and can be deployed in cloud, private cloud, or on-premises setups depending on the plan.

Pricing and product pages show three workspace paths: a free Developer workspace for testing, a managed Cloud Workspace, and a custom Enterprise Workspace. That makes the platform suitable for pilots, operational teams, and larger deployments with security or deployment requirements.

Capabilities

Integrated knowledge system

Curiosity combines graph, search, and AI in one system so teams can work from connected context rather than separate tools.

Connect and structure enterprise data

The product connects data from files, applications, and other systems without replacing existing tools, then structures that information for search and analysis.

Search and reuse information

Search capabilities include typo-tolerant search, advanced search syntax, integrated filters, semantic search, and saved searches.

Knowledge graph and custom models

Curiosity supports a company knowledge graph, custom entities, and custom data types so teams can model domain-specific relationships and terms.

AI assistants and workflows

Teams can build AI assistants, private AI chat, custom workflows, prompt libraries, and AI answers over files and folders.

APIs and extensibility

The platform exposes integration, data, and model APIs, and includes custom integrations and business-logic options for enterprise use.

Use Cases

Company knowledge access
Create a shared knowledge layer so employees can search across connected systems instead of hunting through separate tools and folders.
Technical customer support
Use full system context to help support teams navigate large document sets, related records, and technical information when handling complex cases.
Engineering and quality workflows
Model relationships in engineering, manufacturing, or quality data so teams can trace context across designs, decisions, and issues.
AI assistants and custom workflows
Build AI assistants and custom workflows on top of company data for tasks such as internal writing, information retrieval, and process automation.
Enterprise deployment
Deploy a controlled workspace in cloud, private cloud, or on-premises environments when deployment location and access control are important.

Pros and Cons

Pros

Combines graph, search, and AI in one platform for connected enterprise knowledge.
Supports deployment choices that include cloud, private cloud, and on-premises options.
Offers a free Developer workspace for testing before committing to a larger rollout.
Includes configurable search, knowledge-graph modeling, and APIs for enterprise workflows.
Provides security-oriented controls such as permissions management, audit logs, and encrypted data handling.

Cons

The source does not provide a full connector matrix or detailed implementation guidance for every integration.
Some pricing and enterprise capabilities are custom or contact-sales based, so total cost and scope are not fully transparent upfront.

FAQ

How long does it take to set up Curiosity?

Curiosity is presented as a workspace-based product. The pricing page offers a free Developer workspace for testing, a managed Cloud Workspace, and an Enterprise Workspace with custom deployment and support. The source does not provide a step-by-step setup timeline.

How does Curiosity keep my data safe?

The site says Curiosity runs in your environment, with data encryption in transit and at rest, permissions management, audit logs, and a security-focused approach built for data sovereignty. The pricing page also notes private cloud and on-premises options.

Can we get Curiosity on-premises?

Yes. The pricing page includes an Enterprise Workspace with private cloud or on-premises hosting, and the product page says Curiosity runs in your environment.

Can I connect custom data?

Yes. The integrations page lists API integrations for custom data, and the pricing page mentions custom integrations plus support for custom data sources and workflows in enterprise deployments.

How does workspace pricing work?

The pricing page shows three workspace options: Developer, Cloud Workspace, and Enterprise Workspace. Cloud Workspace is listed at €500 per workspace per month, while Developer is free for test workspaces and Enterprise is custom pricing.

Quick Facts

Category: Industrial AI platform
Primary use: Connect enterprise data into a knowledge layer for search, analysis, and AI workflows
Deployment: Cloud Workspace, private cloud, and on-premises options
Pricing: Free Developer workspace; Cloud Workspace at €500 per workspace per month; Enterprise pricing custom
Platform focus: Enterprise environments with files, applications, and connected systems
Source domain: curiosity.ai