About Us

Incorporated in 2017, Malaysia. Our company was setup by professionals to pursue development of Data intelligence and Data science that is fully develop and research locally for further understanding and better results base on our Malaysian tradition and business culture.

While most solutions offer to solve just one problem at a time, our team is up to build a secure, useful, & easy-to-use product based on private blockchain concepts. It will include easy payments integration, and even a digital arbitration system.

In the end, our aim is to integrate all companies, employees, and business assets into a unified ecosystem, which will make business truly efficient, transparent, and reliable.


Software development company that specialises in designing and delivering web platform and distributed Apps.


Big data, data mining, data integration, and machine learning is the core business provided by this company.


MD LABS was setup by professionals to pursue development of Data intelligence and Data science.


Our business is to help clients manage, make sense of and derive useful insights and information from the vast amounts of structured and unstructured data at their disposal. In order for that to happen, we will develop a platform or improvise an existing platform for our clients. We are focused on bridging the gap between business and technology, and in doing so, providing an exceptional and positive experience to customers of various markets.


Our vision is to be a world-renowned IT brand of quality and distinction by providing the next level platform.


We are committed to create value by providing the best experience to enterprises across the globe through its innovative offerings of software and solutions.


Our commitment is to “give back to society” by using our analytics to help make a significant difference.

Our Expertise

Our offerings improve the overall efficiency of operations in our customer's businesses with our in-depth knowledge across diverse market sectors and our ability to analyze and identify industry-specific challenges.

Data Collection

World Wide Web is the biggest data source to scrape useful information such as e-commerce websites and other miscellaneous websites to enhance our repository of Big Data.

Data Acquisition

Acquiring data through corporate channels such as using APIs from Twitter, Facebook and Google to help in our never-ending quest for knowledge.

Data Parsing

By using tools provided from ‘R’, we have parsed hundreds of different data sets from raw to a format that is useable in our analysis.

Data Validation

We provide clients the opportunity to correlate their data with ours to help them understands their data as well as uncover new ways on how to enrich the data for deeper intelligence.

Data Analysis

Using analytics tools such as ‘R’ or ‘Gephi’, we have done analytics for several clients to provide more insights on their data.

Machine Learning

Machine Learning is used extensively in our analysis to help recognize patterns in data and cluster them together into several between data sets and create machine learning models to predict prices, time-series and more.

Smart Data Tool

We transform and harmonize your enterprise data, regardless of its source, structured or unstructured, inside or outside the enterprise. Driven by the semantic model, scalable servers can convert data from all formats, structured and unstructured into a graph format.

GIS (Geographic Information System

GIS are used to enhance our repository of data with another dimension which is called spatiality to provide our clients analytics with a sense of location.

Our Projects

With help from our teams, contributors and investors these are the milestones we are looking forward to achieve.


We are the makers of SPARKS, the leading open source data science and machine learning platform building smart database for users around the world.

SPARKS employs the techniques of data scientists in an easy to use application that helps scale your data science efforts using automation and state-of-the-art computing power to accomplish tasks in minutes that used to take months. This next-generation automatic machine learning platform delivers unique and advanced functionality for data visualization, feature engineering, model interpretability and low-latency deployment.

  • Machine Learning Interpretability (MLI)
  • Natural Language Processing (NLP)
  • Historical & Predictive Time Series
  • Automatic Visualization
  • Localized Business Intelligence
Our Team

The Leadership Team

The Leadership Team combines the expertise from a group of generation with diverse background and skills namely in business, finance, development, marketing & acquisition.

Director & CEO

Maximilius Wan

Director & CEO

Maximilius Wan has served in various top positions with some of the most well-known names in the BPO and CTO industry during the past 14 years such as EDS, CSA, TeleTech, Hewlett-Packard.

Since 2012, he has based himself in the Asean region with stints in Australia, South Korea, and Singapore focusing on development of blockchain related businesses.

Director & COO

Afdha Yusof

Director & COO

Afdha Yusof has over 15 years of experience in Human Resource and Talent Acquisition in some of the top MNC companies in Southeast Asia and Middle East.

He has been involved in, amongst other things, mergers and acquisitions, and joint ventures.

Dr. Wan
Chief Data Scientist

Dr. Wan Hasni

Chief Data Scientist

Wan M Hasni is an entrepreneur by nature, he has developed many businesses throughout his illustrious career spanning over 30 years, managing companies and projects worth over US20 billion.

His core field of expertise is in finance, with experience of building up companies, organisations in Malaysia, United States, China and South East Asia.

He is a Malaysian citizen, and currently resides in Kuala Lumpur, Malaysia.

Lead Data Scientist

Abdullah Zubair

Lead Data Scientist

Abdullah has ventured into both IT and Engineering fields at the early stages of his career.

After eventually graduating from Engineering, he made the switch to Data Science and is among the earliest product of MD Labs Data Analytics Programme.


Get In Touch

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