Niometrics featured in a Straits Times article on the buzzing artificial intelligence scene in Singapore.

Nov 08, 2019

Artificial Intelligence (AI) applications are flourishing in the areas of network analytics, speech recognition, video analytics and more in Singapore.

In Singapore, AI together with cyber security, immersive media and Internet of Things, have been identified as 4 frontier technologies for development in Singapore, and key drivers of the country in its ambition to become a smart nation. Recognised as the city most prepared for the next wave of technology disruption that will be brought about by AI, AI and related platform technologies are playing a key role in Singapore.

A key indicator of this, is the fact there have been 15 AI-related spin-offs from the Singapore Agency for Science, Technology and Research (A*Star) since 2016. Between 2006 and 2015, there were only 8.

Niometrics itself spun off from A*Star in 2009. In the story published by Strait Times on October 29th, Dr. Kostas Anagnostakis, now CEO and founder of Niometrics, comes back on company’s journey.

When working as a research scientist at A*Star, Dr. Kostas Anagnostakis developed the network traffic analysis engine, which became the core engine of Niometrics’ technology later.

It is a set of technologies for processing large amount of data coming out of the network infrastructure, be it an enterprise network or a telco network or even something much bigger like the nationwide network.” 

We took it from working for 1,000 users, then we scaled it up to 100 million. Today, we are processing data for more than 500 million people across our customers base.

From a 5-person start-up, now Niometrics has made its way to 8 global offices around the world, including Australia, Greece, Vietnam, and United Arab Emirates. However, instead of growing the company at all costs, Kostas added that Niometrics is more interested in working with clients to identify opportunities to create value.

Because, ultimately, no matter what tools you build working in technology, you really do need to focus on generating value.

The full article can be found here.