Curiosity - 2026 Pricing, Features, Reviews & Alternatives

Curiosity is the context graph for industrial AI. It connects the knowledge spread across an organisation's systems, including files, messages, wikis, ticketing tools and databases, into a single graph that teams can search, explore and put to work with AI.

Most search tools treat every document in isolation. Curiosity does the opposite. It keeps the relationships between records intact, so a part, a supplier, a ticket and a field report stay linked. Search returns answers with that context attached, and every answer carries a clear trail back to the source.

Core functions:

- Unified search across structured and unstructured data, from one place.

- A knowledge graph that maps how records, people, parts and events connect.

- AI answers grounded in your own data, with full traceability to the source.

- Exploration and clustering to surface related records and patterns.

- Custom data models and workflows built for your domain

Integrations:

- Connectors for network drives, enterprise apps, cloud storage, databases and data lakes

- Designed to bring both legacy systems and modern tools into one graph

AI and models:

- Combines your knowledge graph with the AI models you choose

- Grounds model output in connected enterprise data, not isolated files

Security and deployment:

- Runs on your own infrastructure for complete data security

- Respects your existing permissions and access controls

Curiosity is built for industrial and engineering enterprises that need trustworthy answers from complex, connected data at scale.