Interpret customers conversational contents and present the best answer candidate on the operator's screen. Operators can answer with just a click from among the possible answers.
NeoRMR will learn QA combinations.
And when a new question is received, the system will choose the seemingly best answer candidate among those learned by NeoRMR. This is the basic function of NeoRMR
As AI learns, it will proceed towards full response automation.
for data set during introduction
|Introduction timeQA data set||Large amount of data set creation/introduction is required||Can be started from 0|
|During operationReflection of learning data||Regular updating
Updating by data entry
|Learn real-time during operation|
About 100 large corporations have introduced NeoRMR into their systems.
AI chat system with character. Personalization possible.
Use AI as a partner to practice tasks that require repeated speech training such as operator skills etc.
Interview with AI as a psychological counselor. Record conversations to help diagnose patients.
(Scale of 150people)
The number of cases dealt by operators per hour increased.
The operator can reach the proficient level in a short time.
|1 Step||Hearing／Review||2 weeks||Start using in abou 2 months!|
|2 Step||Application||1 day|
|3 Step||Build environment／Issue account||2 weeks ~|
|4 Step||Implementation of actual environment／Installation of initial data／Operation verification||4 weeks|
|5 Step||Start Use／Management・Maintenance||Start|
Support AI (NeoRMR)
|＜As of July 2019＞|
|NeoRMR Core Functions|
|NeoRMR main system＋NeoRMR internal API||■|
|NeoRMR None-core API||■|
|Ranker Learned Answer|
|Add evaluation value to candidate QA pair||■|
|Retrieval of answer candidates||■|
|Collections Collection Management|
|Registration of new Collection||■|
|Retrieval of Collection information list||■|
|Retrieval of specified Collection information||■|
|Updating of Collection information||■|
|Deletion of Collection information||■|
|Qas QA Management|
|CSV Batch Registraion||■|
|Deletion of all Qa information||■|
|Registration of new Qa||■|
|Retrieval of Qa information list||■|
|Retrieval of specified Qa information||■|
|Updating of Qa information||■|
|Deletion of Qa information||■|
|Updating of Qa tags||■|
|Searching Qa information using tags||■|
|Search exact match QA||■|
|Retrieval of Qa count||■|
|Dicts Dictionary Management|
|Batch registration of dictionary information||■|
|Registration of new dictionary information||■|
|Retrieval of dictionary information list||■|
|Search dictionary information||■|
|Retrieval of specified dictionary information||■|
|Updating of dictionary information||■|
|Deletion of dictionary information||■|
|Batch deletion of dictionary information||■|
|NeoRMR multilingual support|
|NeoRMR core function in Indonesian||■|
|NeoRMR core function in English||■|
|NeoRMR core function in Vietnam||■|
|Master / Log / Authentication / AltGoPlatform / Tag|
|Master management API||■|
|Log measurement system / log reference API||■|
|OAuth2 authentication API||■|
|Function with QA tag||■|
|Tagging function for chat||■|
|Function to import data including QA_ID from another system||■|
|Autoreply when operator is absent||■|
|Scenario conversation with autoreply||■|
Ability to automatically display in the BOT menu by ranking the answers that received many inquiries and high customer ratings
Other "voice input function" "FAQ added contents automatic generation" etc. will be released
For customers who are using chat systems, currently.
For customers who would like to introduce it into a new chat system.
For clients who would like to use it in an on-premise environment.
The University of Tokyo
Computer graphics, Visualization of natural objects and natural phenomena Lighting simulation, CAD system
University of Liverpool UK
Natural language processing, Web data mining, Artificial intelligence, Statistical machine learning
Artificial Intelligence, Complex Network Science, Computational Social Science
Mathematical Science Advanced Technology Laboratory Co., LTD
OS kernel technology Simulation system Data mining
Graduate School of Information Science and Technology
Natural language processing Service Informatics Distributed PDS
Natural language processing Computational linguistics
New York University
Natural language processing, Information extraction, Linguistic knowledge acquisition, Named Entity Extraction
Hanoi University of Science and Technology
Natural language processing software authors such as Natural Language Processing Vitk, vnTokenizer, vnTagger
National Institute of Informatics
Speech information processing, Speech synthesis, Speaker recognition, Speaker verification, Machine learning, Biometrics
Future University Hakodate
Former Chairman of The Japanese Society for Artificial Intelligence
Artificial Intelligence, Gaming Informatics, Public Transport, Tourism Informatics
It is possible to combine AI with RPA to maximize efficiency
Cost reduction & satisfaction improvement by combining AI with chat system
Adoption cost reduction and satisfaction improvement for call centers
Available for sale as a solution for your company
We are developing the Personal Artificial Intelligence, “PAI” that accelerates the realization of an autonomous society by eternally regenerating personal memories, reproducing intentions and maximizing individual values.
“NeoRMR” is one of reverse engineering roles of the brain and advanced conversation engine language field.
World AI language processing society adopted technology
Ranked 7th in the world Japan Venture AI Research Company Rating
703, SENQ Roppongi, Shin-Roppongi bldg.
7-15-7 Roppongi, Minato-ku, Tokyo, Japan 106-0032
Vietnam Tech Labo：
11F, Lucky Building, 81 Tran thai Tong street, Hanoi, Vietnam