Edge AI for Enterprise
Into the Next Normal & Beyond

The Experts for Business Success with AI

Intelligence Chatbot

AI Chatbot is a technology that applies artificial intelligence, which can achieve automatic reply to cutomer for performing specific tasks, which is helplful to enchance operations and services efficiency

Data retrieval

Data retrieval is a main technology for knowledge management in AI. It deals with the search for information and the representation, storage and organization of knowledge.

Data analysis

By using machine learing and analytical methods to collecting, cleansing and modelling for finding patterns based on past data. Aims to make predictions that are beyond human capabilities.

AI Decision Engine

Refers to data processing like analyzing trends and recommending courses of action that is done partially or entirely by AI rather than by humans to quantify data for more accurate predictions and decisions.



The “Artificial Bot for Business Intelligence” a.k.a. ABBI is an intelligent chatbot built to assist people to drive business intelligence. ABBI serves as an elementary entry for all to help digitalize and automate parts of their work.


"Smart Beauty Advisor" is an AI diagnostic tool for skin analysis. Clients can easily get recommendations on products by the Smart Beauty Advisor to improve their skin health, it helps increase the businesses' performance.


Our VR commerce project offers technological solutions in three key areas, which are
- VR mall
- VR market
- VR showroom

By offering customers a fresh technological experience that can benefit how they shop and search for products.


There are 8 Smart Technologies for facing the COVID-19, they are
1. Disinfection
2. Body Temperature Monitoring
3. Virtual Map Tour Guide (by Matterport)
4. AI Chatbot as COVID-19 Information Centre
5. Smart Delivery & Navigation Robot
6. Air purification
7. Diagnosis / Detection of COVID-19
8. Telemedicine

To assist and meet the needs of people from all walks of life under the COVID.


AI ChatBot can answer customer questions on behalf of the company, saving manpower to answer repetitive questions to help improve operational and service efficiency.


Matterport can create an accurate digital layout, it can give virtual staging and a virtual tour. Simulating the actual environment, space which improve customer experience and increase the realism.

Congratulations to our company for being awarded “Caring Company”


To foster strategic partnerships between the business and social services sectors to promote good corporate citizenship and create a more inclusive society.

Impacting business goals

Goals for AI innovation

1. Enable product and service innovation

2. Drive research and discovery

3. Enhance the customer experience

4. Improve customer service

5. Improve healthcare outcomes

6. Increase efficiency and productivity

7. Improve security and compliance

8. Optimize supply chain operations

9. Improve decision making

Increase Efficiency and Productivity

Across business operations, pervasive use of machine learning to automate and streamline processes has resulted in increased efficiency and reduced costs.

Improve Security and Compliance

Use of machine learning across security, risk, and compliance use cases is a fast-growing trend especially in the financial services sector.

Optimize Supply Chain Operations

From point-of-sale to freight-delivery management to forecasting demand, AI plays a pivotal role across the supply chain.

Improve Decision-Making

Machine learning-based predictions augment decision making across all functions of the organization and across use cases.

Getting started with AI

AI presents new opportunities to realize foundational gains such as efficiency and cost savings, as well as higher-value gains such as product innovation and spurring discovery and research. But how do organizations get started? For
many, AI adoption begins by identifying workflows and business processes that suffer from low efficiency or where human mistakes abound. They consider all their data sources and existing data strategy. They determine the best cloud-based
infrastructure and tools to scale AI. And last, they ensure that the right skills are on board for machine learning projects to be successful.

Business and Networks


Microsoft Azure