Emotibot is dedicated to Natural Language Processing (NLP/NLU) technology. It has built six standardized cloud products based on NLU and Affective Computing. One of the advantages of Emotibot’s products lies in its technology and business implementation model that supports private, public, and hybrid cloud deployment models. The company has already formed partnerships with major cloud computing companies.
The quality of cloud service depends on the degree of product standardization. Emotibot has formed highly-standardized NLP products and solutions based on the experience of hundreds of projects that are completed in the past 6 years. 2021 is the starting year of Emotibot’s cloudification. The company’s highly-standardized, low-code, customized, low-cost, highly-developed, enterprise-class intelligent products will be available for customers of all sizes. Cloud based, standardized products will make Emotibot a leading enterprise in the AI NLP industry.
In the future, cloud services will provide more diversified services and application which would promote the digitalization process of enterprises. Therefore, cloud intelligent services would be the direction of future development of cloud services.
This financing will be used on developing Emotibot’s cloud services, All-in-Cloud, NLP core technology products’ implementation on could products and the establishment of Cloud AI, including Bot Factory Cloud, AICC+ Cloud, Gemini Cognitive Cloud and NLP Cloud. With cloud-based AI NLP products, Cloud AI will be able to provide low-code, highly intelligent enterprise class software services to its customers. Low-operation Digital Transformation service will be provided through subscription and rental models. The launch of the four cloud products promotes the digitalization of enterprises.
From short dialogue NLP to long text NLP used for machine reading and knowledge engineering, Emotibot is gradually building a comprehensive, enterprises-class, business operating system software based on NLP technology. The company especially pays attention to the flexibility of deployment and usage of the software. In addition to modular private deployment, Emotibot is committed to building cloud-based products, as well as solutions that can be used in all industries.
If Microsoft Office is the standard software for office documents that helps user provide mass unstructured and semi-structured data, then Emotibot Cloud would be the system for enterprises’ businesses and services with the capability to process the instructed data with AI NLP and form a structured inference knowledge graph. Emotibot Cloud can process all kinds of documents, including Word, PowerPoint, Excel, PDF, graphs, videos, recordings, printed documents, etc. Emotibot Cloud provides suitable assistant for most business scenarios. Its assistance robots can do many complicated works, such as works that’s based on mass amount of information, natural language processing, machine reading, human-machine collaboration, real-time staff assistant, hyper workflow automation platform. Emotibot’s 6 cloud-based platforms are integrated with RPA, OCR, CV, PM, ML, Knowledge Mining, BI intelligent analysis and other low-operation automated intelligent models.
"One-click deployment" is one of the characteristic features of Cloud AI 2021. The user only needs one click to quickly create a cloud platform that can support hundreds, even thousands of robots. The platform can be set as either public, private or hybrid, supporting Huawei Cloud, Tencent Cloud, Alibaba Cloud, CE Cloud, Unicloud, Microsoft Azure, Amazon Web Services and many other cloud companies.
Recently, many enterprises have the demand for a more secure and controllable system. As a result, Cloud AI’s platform products have started to support domestic CPUs, servers, operating systems and databases, such as Hisilicon, Kylinsoft, openGauss, BES, etc., enabling domestic enterprises the ability of independent R&D and maintenance ability.
One of the biggest difficulties encountered in the implementation of AI in enterprises is the need for a large data base for the bots to do multiple training, the general algorithm-based models are built and trained based on the data provided by customer companies which means that the products have to be first trained and then put to use. But the training can take months, even years. This raises the products’ cost and makes the AI’s maintenance harder. This kind of products aren’t really intelligent products.
Emotibot’s Cloud AI is a platform that is integrated with automated machine learning. With enhanced learning ability, the platform is a truly intelligent platform that can continuously improve and learn more knowledge. Cloud AI has 27 built-in NLP and AI modules that supports most of the SOTA algorithm models, automatic dimension knowledge mining, knowledge generation, semantic clustering analyzing, QA automation, automatic parameters adjusting, self-optimizing, conjunctive model training, multi-model combination and almost all of the common NLP graphical models. This platform can lower the operational cost and provide a self-optimizing model for customers, increasing the company’s competitiveness. Cloud AI provides truly automated learning robots that highlights the real worth of AI and machine learning for its customers.
After 4 years of upgrading, Bot Factory Cloud has become a developed and standardized bot factory platform integrated with the latest state-of-the-art joint model machine learning. The platform combines the automatic dialogue robot with the top NLP algorithm model, achieving a visual drag-and-drop low-code BF Studio. The hundreds of commonly used skills, skill development platforms, pre-training models set for hundreds of industrial scenarios and commonly used short-text semantic models demonstrate Bot Factory Cloud's low-cost advantage. The platform not only enables instant creation of coding-free conversational bot, but also quickly fits its services to the enterprise’s need. Emotibot’s biggest advantage can been found in all the conversational bots produced by Bot Factory Cloud, which is the chatting skill based on mass chitchat data and rich knowledge. The robots are best known for its emotional conversational ability.
Gemini Cognitive Cloud is a new cognitive and knowledge engineering platform launched by Emotibot in 2021. In the past decade, almost all the knowledge that human beings gained is stored unstructured and semi-structured documents. Each enterprise has their own massive database that awaits processing. In order to make most use of these data, we need a system that supports machine reading, semantic analysis, entity discovery, relationship discovery, entity disambiguation, knowledge fusion and other NLP and knowledge engineering technology to build a accurate knowledge mapping. Since these unstructured documents are stored in separate business unites, the staffs need a simple, easy-to-use knowledge-based engineering system to manage their unstructured documents and build a knowledge graph. Emotibot’s Gemini Studio is a drag-and-drop codeless automated processing platform that can construct cognitive knowledge structure. Employees can make good use of the platform’s products and use the knowledge graph for their analysis, predictions, etc.
Another flagship product of Gemini is the Gemini KM Knowledge Base. The key function of the Knowledge Base is to manage enterprises’ mass number of unstructured documents. The data will be gathered and managed by Gemini Studio and made into an inference graph which will be used by the dialogue bots created by Bot Factory. In this way, the enterprise's unstructured documents will be managed and analyzed by Gemini KM, building a unique data base for the enterprises’ intelligent robot and forming an automatic full-stack closed-loop information system.
As economic models change rapidly, business is increasing in complexity with cumbersome processes and frequent regulations changes. Staffs need to constantly learn more information and knowledge. It is also critical for them to understand customer needs, make up their mind and provide the most suitable serve, all in a very short period of time. On the one hand, customer service center faces the pressure of cost and efficiency, on the other hand, customer satisfaction is also a demanding target. Thus, the training of staffs has become a huge problem. Traditional online customer service and flawed AI are unable to meet the enterprises and the customers’ needs. Many enterprises would find the flawed AI system lagging behind after being put to use for a year or two. Its system cannot be updated, not only is it unintelligent, but the cost of manual operation is also quite expensive. More and more companies are replacing the traditional systems with intelligent customer service system that provides customer services reinforced by automated and highly-intelligent assistants.
AI can reduce the cost of products and services. And the most immediate result of the application of NLP technology is shown in customer service center. Since labor cost is the most basic and most influential cost for businesses and organizations. Emotibot made an innovation in the intelligence used in customer service center, as AICC+ established four flagship products in 2021: Emoti Mate, Emoti Coach, Emoti QI and Emoti Voice.
Emoti Mate, a real-time Sitting Assistant, provides customer service staff and sales staff with real-time assistance, training, real-time quality inspection and automated real-time information recommendation to equip the staffs with professional knowledge, even on their first day at work. Emoti Mate also assists employees to learn and improve as they work.
Emoti Coach is integrated with quality inspection and training. It can quickly find inappropriate, problematic parts that can be optimized through real-time quality inspection of the conversation between customers and staff. According to the quality inspection results, training courses are automatically generated for customer service staffs as well as personalized intelligent training and tutoring. Staffs can receive real-time feedback and intelligent training, so as to continuously improve their service quality and achieve high-quality and standardized services.
Emoti QI is a real-time and offline quality inspection system for customer service personnel that provides in-depth semantic analysis, emotion analysis, intention analysis, and behavior analysis. Emoti QI would identify potential risks that may cause complaints or violations and give real-time suggestions and advice on more appropriate phrasing. It will save all the cases as data base for future training and tutoring.
Emoti Voice Bot is an automated full duplex interaction outbound bot that combines voice and semantic recognition and processing. Its context understanding ability and multi-intent recognition technology makes the human-robot interaction more natural and the dialogue experience more similar to human interaction, together with the accurate semantic recognition system, complaints are greatly lessened and the call-completion rate is greatly raised.
Investor's point of view
Mr. Liu Zhe, Investment Director of Shenergy Cheng Yi Investment Company that participated in this round of financing, said: “Shenergy Group has an important position in the fields of electricity, gas and finance. In order to maintain its large-scale customer base, Shenergy also focuses its attention on providing high-quality customer service. Emotibot’s semantic recognition ability and standardized NLP products are outstanding in the industry. Emotibot’s services fit the customers’ demands perfectly. The standardization of products will further expend the scale of AI implementation. Shenergy have faith in Emotibot’s unique AI implementation style. After investing in Emotibot, we will support the company with our industrial resources and help Emotibot participate in other industries, such as energy, electric field, etc. We believe that Emotibot will lead the AI industry with its new Cloud model.”
Mr. Yang Changhong, from GF Xinde Investment, who is in charge of the investment, said, “Emotibot commits its self to the R&D of NLP of the underlying NLP technology. The highly standardized products can greatly improve the efficiency of enterprises. The cloud-based products were another breakthrough in the industry. Keeping up one’s R&D and establishing new products and applications under the influence of the 2020 pandemic is already truly challenging. But Emotibot managed it. The company even managed to uphold a steady revenue growth. We look forward to Emotibot expanding its business with the help of cloud-based products, forming new partnerships and leading the domestic AI industry to a new era."
Mr. Lyu Ningbo, Senior Partner of Everest VC, said, "NLP allows machine intelligence and human intelligence to work together. This is the key to applying AI in real life. Emotibot has been working on NLP for many years, doing research and making innovation happen, while improving its transformative capacity and providing several standardized platform-based enterprise-class products. Its high-efficiency and trustworthy services has been recognized by hundreds of benchmark enterprises in various industries. In the future, Emotibot will continuous to provide standardized cloud-based products. With its clear business plan, outstanding execution skills and high efficiency, Emotibot will continue to improve in the standardization. We believe the company will become Mount Everest of the NLP field.”
Mr. Zou Xusheng, President of China Development Financial Holding, said: "CDIB, as one of the long-term shareholders of Emotibot, firmly believes that, under Kenny's leadership, the company can make technology breakthrough in the domestic NLP field and discover new usage for AI in semantic situations with its rich experiences gained throughout the years. In the challenging year, 2020, Emotibot has continued to make technology breakthroughs. We look forward to Emotibot’s future development in providing standardized products, assisting various industries to build their own knowledge systems and becoming an indispensable support for enterprises."