Rule-based chatbot
We built chatbot implementation experience by designing validated scenarios and stable support flows.
Build an AI chatbot from your documents
An AI chatbot that learns from your company documents
and delivers answers grounded in them
AI drafts conversation intents from PDFs, tables and API documentation. Your operators review the drafts and deploy a chatbot for your website and KakaoTalk. Cloudturing brings creation, operations, analytics and security settings together in one console.
Document-grounded answers
Improve answer reliability by starting with reviewed company materials.
API documentation integration
Use your existing API documentation to prepare lookup, request submission and authentication flows.
Table data search
Find information in tables with Meilisearch and use it in answers.
Operations and analytics
Improve operations with usage history, dashboards and audit logs.
Web chatbot demo
All names, numbers, addresses and API actions are fictional. The examples play once in sequence.
🔍 Checking the product guide and warranty policy.
🔍 Searching the staff directory.
🔍 Sending a verification code to verify your identity.
🔍 Checking the verification code you entered.
🔍 Sending the service request details.
🔍 Saving the request details.
✨ AI can sometimes make mistakes.
Since 2016, our experience has spanned Kakao chatbot agency work and operations on Google Cloud. Our chatbot implementation experience across industries helps us support enterprise AI chatbot operations.
Generative AI chatbot answers need a clear basis
Business support requires accurate policies, product information and internal standards. Cloudturing's operating workflow starts with company-provided materials rather than leaving AI to invent answers.
Start with documents
Use reviewed PDFs, guides, FAQs and policy documents as the foundation for chatbot knowledge.
Operator review
Operators check and edit AI-generated conversation intents and draft answers before using them in live responses.
Improve with logs
Review usage history and audit logs to monitor chatbot operations and improve responses to recurring questions.
Four steps from uploading materials to operational analytics
Connect knowledge building and operations in one workflow, beyond simply uploading documents.
Upload materials
Upload documents, tables and API documentation, then review the AI classification drafts.
Generate conversation intents
AI drafts question intents and answers, with a history of generation.
Review and configure
Operators adjust answers, persona, design, security and member permissions.
Deploy and analyze
Run on the web and KakaoTalk, and improve with dashboards, usage history and audit logs.
Start with document-heavy tasks and recurring questions
Cloudturing suits tasks where policies and data matter, including customer support, public inquiries, internal help, commerce, finance and education.
Customer support
Automate FAQs and service requests
Connect product documents and service request APIs to reduce recurring questions and simplify request submission.
Internal inquiries
Internal policies and user authentication
Combine internal policy documents with internal user authentication to provide authorized members with the answers they need.
Commerce and stores
Search product, branch and reservation data
Use tables and external APIs to provide product information, branch directories and reservation status.
Knowledge hub
Product news and operational insights
Find Cloudturing product updates and AI chatbot operations resources in our blog, notices and release notes.
Blog
Guides to using and operating AI chatbots
Practical guidance on document-based chatbots, business automation and data search.
NoticeService notices and operational updates
Find news you need to use the service, including policies, maintenance and key announcements.
Release notesProduct update history
Review new features, improvements and operational changes by release.
Product roadmap
Expanding from document-based chatbots to Agentic AI workflows
Cloudturing currently provides tools to build and operate chatbots from company documents, tables and API documentation. We are preparing Agentic AI workflows that plan multiple task steps and connect to external systems, with an update planned for Q4 2026.
Dialogflow-based natural language understanding
We expanded to classifying user intent and operating natural language support automation.
LLM document-based chatbot
Draft answers and conversation intents from uploaded documents, tables and API documentation, then review and deploy them.
Agentic AI workflow
We are preparing workflows that plan multiple task steps, retrieve relevant data and connect to external system calls.
Features available today
- Generate conversation intents and draft answers from documents
- Prepare lookup, request and authentication flows from API documentation
- Precise table search and operations console management
Planned update
- Agentic AI workflows that plan tasks in multiple steps
- Business automation with external system calls and result checks
- Phased adoption with operator review and safeguards
Agentic AI is a roadmap item being prepared for a planned Q4 2026 update, and is not currently available.
Cloudturing in brief
What is Cloudturing?
We connect company documents and business data to AI chatbot operations. Here is a brief description to help visitors and AI search systems understand Cloudturing consistently.
Cloudturing is a document-based AI chatbot platform for building and operating chatbots from company documents, tables and API data.
AI drafts conversation intents and answers. Operators review them, then deploy a chatbot for websites and KakaoTalk.
Suited to tasks with many documents, recurring questions and data lookups, including customer support, public inquiries, internal help, commerce, finance and education.
FAQ
Frequently asked questions
Key features and considerations before adoption, explained through the actual product workflow.
What is Cloudturing?
Cloudturing is a document-based AI chatbot platform for building and operating chatbots from company documents, tables and API data. It provides material uploads, AI intent generation, operator review, web and KakaoTalk deployment, and usage and log management in one console.
How does it differ from a general generative AI chatbot?
Cloudturing prioritizes a workflow grounded in uploaded company documents and data. Operators review and edit AI-generated draft answers before using them in live responses, helping reduce the risk of hallucinations.
What are the benefits of integration from API documentation?
If you have API documentation or schemas, you can upload them to prepare external data retrieval, service requests, order and reservation lookups, and internal user authentication. Not every environment can be integrated automatically: authentication, firewalls and testing may require checks tailored to your environment.
Which tasks benefit from table data search?
It helps with data organized in rows and columns, such as product specifications, price lists, branch directories and policy tables. Cloudturing registers table data as chatbot knowledge and uses Meilisearch to find relevant information for answers.
What security and operations tools are supported?
The console manages member permissions, IP allowlists, design settings, usage dashboards, user activity history and administrator audit logs. Access control and operational traceability are considered together for enterprise chatbot operations.
What customer experience does Cloudturing draw on?
Our operator, Dreamyoungs Inc., has worked in the chatbot market since 2016, with experience as an official Kakao chatbot agency and more than 300 enterprise chatbot implementations. Experience across enterprise, public services, finance, retail, education, healthcare and pharmaceuticals, and content and media informs our product.
Connect your company documents and data to an AI chatbot
Get started yourself or talk to us about enterprise adoption that requires API integration and internal authentication.
Built on chatbot implementation experience across industries
Our product draws on chatbot implementation experience in enterprise, public services, finance, retail, education, healthcare and pharmaceuticals, and content and media.