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, and 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.
Makes you the sole owner of a secure decentralize registry
Our analytic allow businesses to launch and manage customers expectation
We are serving various industries with various target points
Various data analytic applications programmed in-house
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 to make the world a better place.
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.
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.
Acquiring data through corporate channels such as using APIs from Twitter, Facebook and Google to help in our never-ending quest for knowledge.
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.
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.
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.
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.
Using analytics tools such as ‘R’ or ‘Gephi’, we have done analytics for several clients to provide more insights on their data.
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.
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.
With the help from our teams, contributors and investors these are some of the milestones we have achieved and some projects that are in the pipeline.
All-in-one platform for FMCG price sharing.
One platform for multi currency and multi exchange data on blockchain.
Control, shape and clean data that by using the Shiny platform in R studio.
Analyze social media data including data from Twitter, News, and Google Trends.
Analyse data in geospatial manners by using the Shiny platform in R studio.
An interactive tool to crawl the web and social media to index all pages or post related to a certain subject.
Analytical tool to measure risk of spread of Covid-19 based on probability and smart data.
Poedjo is a result orientated executive with more than 30 years of experience in the consulting, telecommunication, engineering and ICT industries.
He has served in renown Multi-National Corporations like Asea Brown Boveri (ABB), Hewlett Packard, Agilent Technologies, Oracle Corporation, Huawei Technologies and Accenture.
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.
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 and analytic related businesses.
Amir Fawwaz with an Applied Physics background has over 15 years of experience in Research & Development in Artificial Intelligence.
In 2019, he co-architected and deployed an HPC facility which has been ranked the 88th fastest supercomputer in the world according to the High Performance Conjugate Gradients (HPCG) Benchmark.
He also has a huge crush on Python programming and Parallel computing.
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.
Below we’ve provided the most commonly asked questions. If you have any other questions, please get in touch via email.
The MD Labs service is hosted in Digital Ocean data centers maintained by industry-leading service providers. Data center providers offer state-of-the-art physical protection for the servers and related infrastructure that comprise the operating environment. These service providers are responsible for restricting physical access to our systems to authorized personnel.
The data we collect is used exclusively to provide the best user experience. All device activity data is deleted after 30 days, with a full delete of all your created data upon move out. We do not sell any of your data to any third-party affiliates.
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