AI and Robotics researchers & engineers solving mission-critical problems

About Us

We are a team of deep-tech, advanced-skill experts including researchers & engineers solving mission-critical problems by using Artificial Intelligence (AI) & Robotics.

Rooted in academia with R&D advantages to pioneer in inventing and developing algorithms, machine learning models, scientific-to-business-proven-technology-based solutions, and production products in the cognitive humanoid field, we are a bridge between academia and industry in AI & Robotics.

Our team has immersed in Machine Learning, Computer Vision, Signal Processing, and Big Data Analysis using Cutting-edge technologies (i.e Deep Learning) since the dawn of Deep Learning in 2012.

We help you solve your problems
either with our own Products or Tailored-built Solutions

Unconventional & Competitive

Brilliant-minded and Advanced-skill engineers

A+ engineers, researchers, and experts collaborating with Ph.D, PostDoc from Carnegie Mellon University (CMU), University of Adelaide, Monash University, National University of Singapore (NUS), Pohang University of Science and Technology (POSTECH), Singapore University of Technology and Design (SUTD), Imperial College London (ICL), Ho Chi Minh City University of Science (HCMUS)

Backed by scientific-proven and strong academia

Advised and collaborating with professors from the University of Adelaide, SUTD, Monash University, Imperial College London

Published scientific research in top conferences and journals in AI and Robotics for most of our products & solutions

Product-minded people for end-to-end product design and development

Blended with product-minded people who are skilled in successful (but also failed-to-almost-bankrupted) start-ups to understand the most abstract form of problems and ideas to shape up the good product-fit

Leveraging Agile and Extreme Programming (XP) as guidance and practice to deliver less-risky products

Multi-platform development & deployment capabilities

Having solid background in both hardware and software to understand from the physical layer (the boring one-zero 10...0110 part) to the application layer, we are able to build not only cloud-based, web-based, mobile-based applications but also the Internet of Things (IoT), Robotics products, and Automation systems


Nvidia Inception
Hewlett Packard (HP)
Carnegie Mellon University (CMU)
University of Adelaide
Imperial College London (ICL)
University of Liverpool
National University of Singapore (NUS)
Japan Advanced Institute of Science and Technology (JAIST)
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