Curiosity.AI

Curiosity currently presents Studio as a platform for building internal applications, dashboards and AI workflows around organizational data. Its context graph connects information and permissions so models can work with business context. The current offering differs from the older directory description of a desktop search utility. Desktop App terms still exist, but their presence does not establish that the old desktop plan remains the main product or has a current published price.

The public pricing page separates Developer evaluation from Enterprise Studio. Developer is free for up to ten test users, installed locally, with no time limit for development use. Its evaluation licence does not authorize production deployment. Enterprise starts from fifty users and requires a deployment-specific quote. Private-cloud or on-premises hosting, integrations, custom work and support affect the agreement; no fixed enterprise subscription price or total infrastructure cost was verified.

The privacy policy distinguishes local Desktop and Developer processing from hosted workspaces. Optional AI features can send selected content or prompts to third-party model providers when activated. On-premises support access requires authorization, while hosted workspace processing follows customer instructions and contractual arrangements. Local installation therefore does not prove that every enabled AI workflow keeps all information local. Specific retention, data-processing and model-provider arrangements need checking before confidential connections.

The business Enterprise terms let the order form override general provisions and do not promise a specific economic result or service level without agreement. Customers retain responsibilities for infrastructure security and backups. The public demo-request form was visible and empty; no request was sent. No software was installed, company data connected or model invoked. A buyer should compare evaluation rights, production licensing, integration scope and the agreed service level before choosing a deployment.