Early chatbot development experience
Building chatbots for Facebook Messenger, Naver TalkTalk, Kakao and other channels gave us experience with the practical requirements of business support automation.
About Cloudturing
We connect documents and business data to chatbot operations
Cloudturing is an AI chatbot builder by Dreamyoungs Inc., which has built chatbots for businesses and institutions since 2016. It is evolving into a platform for creating and operating grounded answers and business integrations based on company documents, tables and API documentation.
Since 2016
Experience building and operating chatbots
300+
Projects for businesses and institutions
Document-based
AI chatbots built around PDFs, tables and API documentation
Operations console
Manage generation, review, deployment and analysis in one workflow
What we build
Cloudturing is a document-based AI chatbot builder
Automating business support often requires a broader workflow than simple questions and answers. Cloudturing connects company documents and table data to chatbot knowledge and helps prepare lookups, requests and authentication workflows using API documentation.
Operators should be able to review answers and improve them after deployment using usage histories and audit logs. We see ongoing operator control, as well as chatbot creation, as central to the product.
Journey
Our product has evolved with the chatbot market
Today's Cloudturing is the result of accumulated experience as a Kakao chatbot agency, a Dialogflow-based builder and a generative AI chatbot service, rather than a single transition.
Operating a no-code chatbot builder
We operated a Google Dialogflow-based chatbot builder and refined the console experience so that people without development skills could build and manage chatbots.
Document-based generative AI chatbots
We expanded into today's Cloudturing workflow: AI drafts content from documents, tables and API documentation, and operators review it before deployment.
Preparing Agentic AI workflows
Separately from the features currently available, we are preparing an Agentic AI roadmap for planning multi-step tasks and connecting external systems.
Operating principles
Business AI chatbots need reliable operations
We believe that the source materials, the people reviewing answers and the way answers improve matter as much as AI's ability to generate them.
Grounded answers
Chatbot knowledge is designed to start from company-provided documents, tables and API documentation.
Operator review
Operators should be able to review AI-generated intents and draft answers before applying them to the live service.
Connect business systems
Go beyond support answers by connecting workflows for lookups, requests and authentication.
Operational accountability
We transparently manage operational records such as usage, activity histories, audit logs and measurable operational emissions.
Documents
Technical documents and operating guides
Review documents on security, technical architecture, web chatbot installation and internal user authentication when considering adoption.
Security
Security white paper
Review the security architecture, including data protection, access control and compliance.
Download PDF TechnologyTechnical white paper
Review the AI engine configuration, microservice architecture and operating infrastructure design.
Download PDF InstallWeb chatbot installation guide
Review website widgets, embedded content and web link installation methods and considerations.
Download PDF API guideInternal user API integration guide
Learn how to integrate an authentication API to allow only authorized users to access the chatbot.
Download PDFReady to connect your documents and business data to a chatbot?
If you have documents, tables and API documentation in use, we can review together the chatbot workflows you could build with Cloudturing.