[{"child":[],"type":"css","text":"@screen-md-min: 768px;\n@screen-lg-min: 992px;\n@screen-xl-min: 1260px;\n\n@media (min-width: @screen-xl-min) {\n section {\n .function-row {\n hr {\n margin-bottom: 100px 0 0 0;\n }\n }\n }\n}\n@media (min-width: @screen-lg-min) {\n section.feature h3 + p {\n width: 900px;\n }\n}\n@media (min-width: @screen-md-min) { \n section {\n .function-row {\n hr {\n margin: 80px 0 0 0;\n &.hidden-md-up {\n display: none;\n }\n }\n }\n }\n}\n\ndiv.feature.feature-wrapper {\n background-color: #f6f7f8;\n}\n\nsection {\n &.feature {\n p {\n em {\n color: #222222;\n }\n font-size: 16px;\n line-height: 1.75;\n }\n div.full-row div.chart p {\n font-size: 13px;\n }\n }\n hr {\n &.i18n-hr {\n margin-top: 0;\n }\n margin: 40px 0 0 0;\n }\n .function-row .row.composite .col-2 {\n vertical-align: top;\n }\n .function-row .row {\n &.composite {\n .col-2 {\n vertical-align: top;\n }\n }\n .col-2 {\n p {\n letter-spacing: -1.12px;\n }\n &.chart {\n padding-right: 0 !important;\n }\n img {\n width: 100%;\n }\n }\n }\n}\n\n.btn {\n width: 200px;\n margin-left: auto;\n margin-right: auto;\n}","value":"@media (min-width: 1260px) {\n section .function-row hr {\n margin-bottom: 100px 0 0 0;\n }\n}\n@media (min-width: 992px) {\n section.feature h3 + p {\n width: 900px;\n }\n}\n@media (min-width: 768px) {\n section .function-row hr {\n margin: 80px 0 0 0;\n }\n section .function-row hr.hidden-md-up {\n display: none;\n }\n}\ndiv.feature.feature-wrapper {\n background-color: #f6f7f8;\n}\nsection.feature p {\n font-size: 16px;\n line-height: 1.75;\n}\nsection.feature p em {\n color: #222222;\n}\nsection.feature div.full-row div.chart p {\n font-size: 13px;\n}\nsection hr {\n margin: 40px 0 0 0;\n}\nsection hr.i18n-hr {\n margin-top: 0;\n}\nsection .function-row .row.composite .col-2 {\n vertical-align: top;\n}\nsection .function-row .row.composite .col-2 {\n vertical-align: top;\n}\nsection .function-row .row .col-2 p {\n letter-spacing: -1.12px;\n}\nsection .function-row .row .col-2.chart {\n padding-right: 0 !important;\n}\nsection .function-row .row .col-2 img {\n width: 100%;\n}\n.btn {\n width: 200px;\n margin-left: auto;\n margin-right: auto;\n}\n","uId":"15970561227472","active":false},{"child":[],"type":"tab","idName":"","className":"col-5","data":[{"link":"","text":"Features","blank":false},{"link":"function","title":"","blank":false,"text":"Details"},{"link":"price","title":"","blank":false,"text":"Pricing"},{"link":"${guideUrl}/en/chatbot-chatbot-1-1","title":"","blank":true,"text":"Guide"}],"uId":"15699075884327","active":false},{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"### Creating a fast and accurate chatbot conversation model and linking various messaging channels\nIt is equipped with a powerful conversation model engine that applies Naver's data and know-how, so you can develop chatbots that satisfy various customer needs.","uId":"15687730540678","useYn":"Y","expandYn":"N","active":false},{"child":[],"type":"custom","text":"

","useYn":"Y","uId":"15970444367401","active":false},{"child":[{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Smart chatbot engine","useYn":"Y","uId":"159678318049918","active":false},{"child":[],"type":"text","text":"Similar to how a person learns to talk
Create a conversation model and train it.
\nStudying various sentences and grammar
\nRemembering important information
\nAdditionally look at the context
\nWith additional iterative learning
\nFeedback is mainly based on the correct answer.","useYn":"Y","uId":"159678320491419","active":false}],"type":"div","idName":"","className":"col-2 smart-chatbot desc","text":"","useYn":"Y","uId":"159678311056716","active":false},{"child":[{"child":[],"type":"image","idName":"","className":"img-chart","alt":"","data":{"sm":"https://xv-ncloud.pstatic.net/images/product/en_chat_375_01_1601353943869.png","md":"https://xv-ncloud.pstatic.net/images/product/en_chat_768_01_1601353943852.png","lg":"https://xv-ncloud.pstatic.net/images/product/en_chat_1024_01_1601353877821.png","xl":"https://xv-ncloud.pstatic.net/images/product/en_chat_1600_01_1601353877796.png"},"useYn":"Y","uId":"159678333614121","expandYn":"N","active":false},{"child":[],"type":"text","text":"Create a test account in each builder and test it under the same conditions /
Use of overseas customer center FAQ related data sets /

Separation of learning and test queries from all queries /
Korean: Learning (1,665), Test (159) / English: Learning (512), Test (152)","useYn":"Y","uId":"159678333936922","active":false}],"type":"div","idName":"","className":"col-2 chart","text":"","useYn":"Y","uId":"159678311538217","active":false}],"type":"div","idName":"","className":"full-row wrap row","text":"","useYn":"Y","uId":"159678307817615","expandYn":"N","active":false},{"child":[],"type":"custom","text":"

","useYn":"Y","uId":"159678329473020","active":false},{"child":[{"child":[],"type":"image","idName":"","className":"col-2 i18n","alt":"","data":{"sm":"","md":"","lg":"","xl":"https://xv-ncloud.pstatic.net/images/product/kr-chat-1600-02_1600146546397.svg"},"useYn":"Y","uId":"159678456599228","expandYn":"N","active":false},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Multilingual support","useYn":"Y","uId":"159678456599225","active":false},{"child":[],"type":"text","text":"Based on an optimized algorithm model for each language feature
\nSupports various national languages.
\nSupported languages: Korean, Japanese, English, Chinese, Thai, Indonesian","useYn":"Y","uId":"159678456599226","active":false}],"type":"div","idName":"","className":"col-2 desc","text":"","useYn":"Y","uId":"159678456599224","active":false}],"type":"div","idName":"","className":"full-row wrap row","text":"","useYn":"Y","uId":"159678456599223","expandYn":"N","active":false},{"child":[],"type":"custom","text":"

\n","useYn":"Y","uId":"159678470262437","expandYn":"Y","active":false},{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Natural Language Processing Technology Department
Machine learning based learning algorithm","useYn":"Y","uId":"159678465706732","active":false},{"child":[],"type":"text","text":"The optimized learning algorithm for the characteristics of each language
\nWe support chatbot service for customers in various countries,
\nThe engine's performance continues to improve.","useYn":"Y","uId":"159678465706733","active":false}],"type":"div","idName":"","className":"col-2 desc","text":"","useYn":"Y","uId":"159678465706731","active":false},{"child":[],"type":"image","idName":"","className":"col-2","alt":"","data":{"sm":"https://xv-ncloud.pstatic.net/images/product/img-en-chat-375-03_1607653945359.svg","md":"https://xv-ncloud.pstatic.net/images/product/img-en-chat-768-03_1607653945340.svg","lg":"https://xv-ncloud.pstatic.net/images/product/img-en-chat-1024-03_1607653945327.svg","xl":"https://xv-ncloud.pstatic.net/images/product/img-en-chat-1600-03_1607653945305.svg"},"useYn":"Y","uId":"159678465706735","expandYn":"N","active":false}],"type":"div","idName":"","className":"full-row wrap row","text":"","useYn":"Y","uId":"159678465706630","expandYn":"N","active":false},{"child":[],"type":"custom","text":"

","useYn":"Y","uId":"15970519026191","expandYn":"Y","active":false}],"type":"div","idName":"","className":"function-row","text":"","useYn":"Y","uId":"15970488339902","active":false}],"type":"section","idName":"","className":"feature wrapper","uId":"15687730456665","useYn":"Y","expandYn":"N","active":false}],"type":"div","idName":"","className":"feature feature-wrapper","text":"","useYn":"Y","uId":"15970397608861","active":false},{"child":[{"child":[],"type":"text","text":"### Detailed Features\nNatural language processing technology accumulated with Naver's know-how accurately grasps the intention of the user's question and continues a natural conversation.
\nBy applying deep learning-based self-learning algorithms, we can reduce the number of utterance examples and optimize the conversation model.\"","uId":"156878414867311","useYn":"Y","active":false},{"child":[{"child":[],"type":"image","idName":"","className":"","alt":"","data":{"sm":"https://xv-ncloud.pstatic.net/images/product/en-chatbot-375-04_1600146448404.png","md":"https://xv-ncloud.pstatic.net/images/product/en-chatbot-768-04_1600146448319.png","lg":"https://xv-ncloud.pstatic.net/images/product/en-chatbot-1024-04_1600146448193.png","xl":"https://xv-ncloud.pstatic.net/images/product/en-chatbot-1600-04_1600146448008.png"},"useYn":"Y","uId":"159678618049540","active":false}],"type":"div","idName":"","className":"full-row wrap row","text":"","useYn":"Y","uId":"159678615301639","active":false},{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"##### Rich answers composite","useYn":"Y","uId":"159678625486244","active":false},{"child":[{"child":[],"type":"text","text":"Naver Cloud Platform provides an answer composite so that you can flexibly generate the answer from the chatbot.
\nIn other words, it is not just a text answer.\nUseful messenger composites can be set up with a simple operation in the chatbot.","useYn":"Y","uId":"159678627308845","active":false}],"type":"div","idName":"","className":"col-2","text":"","useYn":"Y","uId":"159678623707942","active":false},{"child":[{"child":[],"type":"text","text":"The answer composites provided are Text, Buttons, Multiple Buttons, Images and Carousels.
\nCombination of these composites is also possible, and when linked with messenger
\nIt is convenient because it is converted and provided according to the specifications of each messenger.
","useYn":"Y","uId":"159678627635646","active":false}],"type":"div","idName":"","className":"col-2","text":"","useYn":"Y","uId":"159678623941443","active":false}],"type":"div","idName":"","className":"row composite","text":"","useYn":"Y","uId":"15970495598453","active":false},{"child":[],"type":"custom","text":"

","useYn":"Y","uId":"159703478149612","active":false}],"type":"div","idName":"","className":"function-row","text":"","useYn":"Y","uId":"159678657101647","active":false},{"child":[{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Statistics provided","useYn":"Y","uId":"159678670744651","active":false},{"child":[],"type":"text","text":"In real service, unlike the type of speech reviewed in scenario modeling,
\nThere may be differences in how actual users use them.
\nAlso, since it cannot be said that it represents the utterance patterns of all users when modeling
\nAnalysis of statistical data and incoming users' utterance records is important.
\nNAVER CLOUD PLATFORM enables continuous model improvement.
\nIt provides a variety of analysis indicators.","useYn":"Y","uId":"159678671918652","active":false}],"type":"div","idName":"","className":"col-2","text":"","useYn":"Y","uId":"159678668104249","active":false},{"child":[],"type":"image","idName":"","className":"col-2","alt":"","data":{"sm":"https://xv-ncloud.pstatic.net/images/product/en-chat-375-05_1600146474220.png","md":"https://xv-ncloud.pstatic.net/images/product/en-chat-768-05_1600146474192.png","lg":"https://xv-ncloud.pstatic.net/images/product/en-chat-1024-05_1600146474171.png","xl":"https://xv-ncloud.pstatic.net/images/product/en-chat-1600-05_1600146474142.png"},"useYn":"Y","uId":"159678674666853","active":false}],"type":"div","idName":"","className":"row","text":"","useYn":"Y","uId":"15970524461072","active":false},{"child":[],"type":"custom","text":"

","useYn":"Y","uId":"159679326203516","expandYn":"Y","active":false}],"type":"div","idName":"","className":"full-row wrap function-row","text":"","useYn":"Y","uId":"159678667222048","active":false}],"type":"section","idName":"","className":"function wrapper","uId":"15687730494187","useYn":"Y","active":false},{"child":[{"child":[],"type":"text","text":"

Pricing Information

To help you operate your service flexibly in different situations, we offer a practical service and the corresponding pricing model.

\n","useYn":"Y","uId":"15970324168072","active":false},{"child":[],"type":"image","idName":"","className":"","alt":"","data":{"sm":"https://xv-ncloud.pstatic.net/images/product/chatbot-en.sm_1600146710492.png","md":"https://xv-ncloud.pstatic.net/images/product/chatbot-en.md_1600146710479.png","lg":"https://xv-ncloud.pstatic.net/images/product/chatbot-en_lg_1589869366542_1600146710449.png","xl":"https://xv-ncloud.pstatic.net/images/product/chatbot_en_xl_1589869614222_1600146710410.png"},"useYn":"Y","uId":"15970324600213","active":false},{"child":[],"type":"custom","text":"

Usage Fee

\n · The chatbot service operates with the following conditions.
· API request: Fees are charged on the total\n number of requests.
· Dialogue model build: Fees are charged based on the number of dialogue training sessions.\n
(Dialogue training refers to carrying out natural language processing and machine learning for the chatbot to\n continue a conversation in a natural way. Fees are charged by adding up the number of training sessions by each\n domain.)\n

","useYn":"Y","uId":"15970326249764","active":false},{"child":[],"type":"custom","text":"

\n CLOVA Chatbot service provides free trial service for 6 months.
\n The trial plan comes with 10 conversation model builds and 1,000 API calls per month.

Try 6 months free

\n","useYn":"Y","active":false,"uId":"16263300800835"},{"child":[],"type":"custom","text":"

Standard

Enterprises and small/medium sized service providers

\n","useYn":"Y","uId":"15970327091767","active":false},{"child":[],"type":"table","idName":"","className":"","legend":"","vat":"Y","text":"Service PlanTypeDialogue trainingAPI requestStandardDomain /
Domain Group\n Dialogue model build: 20,000 KRW/build
(Maximum monthly training cost per domain: 3,000,000 KRW)\n 0 - 1,000 callsFreeOver 1,000 - 1,000,000 callsKRW 3Over 1,000,000 callsKRW 2\n","useYn":"Y","uId":"15970327279998","active":false},{"child":[],"type":"custom","text":"

You can choose the domain type (Domain / Domain Group).

\n Domain Group enables a wider range of answers by including sub-domains below.
\n API calls of Domain Group are counted as 2 calls based on transaction.
\n Example) API calls to the endpoint of domain group (3 calls)
Subdomain A: Connected by Transaction and called once
Subdomain B: Connected by Transaction and called twice
Total number of calls 6 times Count

\n You can select a service type (Trial/Standard) for each domain.
After the trial domain is created, it can be changed to the standard domain . Excel import/export feature is provided to move the conversation scenario between domains.\n

\n Additional charges are applied for API Gateway usage because the chatbot is called via API Gateway when linking to\n messengers or custom channels after service deployment.\n

Additional charges are applied if you connect to the CLOVA API (CSR/CSS) to implement voice chatbot.

\n","useYn":"Y","uId":"15970327318489","active":false},{"child":[],"type":"custom","text":"

Enterprise

Companies wanting to apply the latest, more advanced natural language processing of Korean

\n","useYn":"N","uId":"16304701970703","active":false},{"child":[],"type":"custom","text":"CLOVA Chatbot service provides a natural language processing model applied with cutting-edge AI (Artificial Intelligence) technology pre-trained with a vast volume of NAVER's corpus data. It is operated with a separate pricing system, so please contact customer support if you'd like to use it. \n\n

Technical features
- The transfer learning technique has been applied to improve the performance of downstream tasks (supervised learning tasks using pre-trained models or components for specific assignments of natural language processing to be solved) by pre-training a vast capacity of corpus data.
- Korean language support is prioritized.

Recommended for:
- Those who want to build a chatbot that understands the implications behind various inquiries
- Those who want a higher model inference performance compared to existing chatbots

\n","useYn":"N","uId":"16304702097064","active":false,"expandYn":"N"}],"type":"section","idName":"","className":"price price-chatbot wrapper","useYn":"Y","uId":"15970323441791","active":false}]

Pricing Information

Usage Fee

\n CLOVA Chatbot service provides free trial service for 6 months.\n The trial plan comes with 10 conversation model builds and 1,000 API calls per month.Try 6 months free

Enterprises and small/medium sized service providers

Companies wanting to apply the latest, more advanced natural language processing of Korean

\n CLOVA Chatbot service provides free trial service for 6 months.
\n The trial plan comes with 10 conversation model builds and 1,000 API calls per month.

Try 6 months free