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Our People

“Our intelligence is what makes us human, and AI is an extension of that quality.” — Yann LeCun, Professor, New York University

Elijah Yang

Founder
CEO

Florian Morel

Machine Learning
Master Data & AI
Institut Polytechnique de Paris

Georgina Chew

Software Development BSc Comp Science AI
NUS

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Claressa Quek

Co-Founder
Masters of Computing
NUS

Dr Cindy Goh

Advisor
University of Glasgow

Lucas Pang

Software Development Computer Science and Design SUTD

Dohyun Nam

Software Development
BComp in Computer Science
NUS

Steady

Miniature Pinscher
Good Boi <3

Kwok Zhan Yan

Software Development Software Engineering
SMU

Fun & Play

We like to think of ourselves as a young startup where work and fun exists together. We have bean bags, capsule beds, and a showering facility, so you can start the day afresh.

A modern, brightly lit office with green carpet, white desks, colorful chairs, and computers set up for Deep Learning projects. A wooden slide and staircase are visible in the background, along with glass railings and light wood ceiling beams.
A minimalist white-tiled shower room with a clear glass partition holds water up to mid-height, creating an aquarium-like effect—almost as if designed by Deep Learning. A yellow rubber duck floats serenely on the water’s surface.

Our Culture

We believe in doing things differently. Like nodes in a multilayer perceptron, we value each other’s inputs and outputs. Since the average age of our employees is under 30, we have an appetite to be experimental.

Nine young adults stand together smiling in front of a modern glass building. They wear matching dark sweaters and skirts or pants, posing closely as a group on a paved outdoor area.

What do you do?

We look at resolving old problems with artificial intelligence as the missing piece to the jigsaw puzzle. Because with enough training, we can guess with good confidence the shape of that final piece.

What's in the future?

We are technologists at heart. It doesn’t matter the field of application, whether it’s from construction or finance. Because data is industry neutral. All we care is that our work can benefit those in fields that we have not even heard of today.

“Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.”

— Ray Kurzweil, American inventor, and futurist

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