Built in Singapore, by design
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Singapore doesn't just happen to be our base—it's our blueprint.
Our Foundation
Our technology mirrors what makes Singapore exceptional: the understanding that progress happens when we move together, not alone. During COVID-19, over 28,000 volunteers distributed 13 million masks, turning individual acts into collective resilience. This wasn't policy—it was gotong royong in action, the kampung spirit reimagined for a digital age.
Why This Matters for Learning
Singapore's multicultural fabric teaches us that the best insights emerge between minds, not within them. Our AI doesn't just detect individual learning—it captures the subtle dynamics of shared understanding that happen when diverse perspectives converge and create something greater than the sum of their parts.
From Singapore to Asia
We're not exporting Western edtech. We're amplifying what Asia already knows: that wisdom is co-created, skills are scaffolded together, and breakthrough moments happen in the spaces between us.
Our Vision
Majulah Singapura means "Onward Singapore"—and that's exactly what we're building: technology that moves learners forward, together.
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The team
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Why Upskillrs Wins
Market Timing
Riding Singapore's AI Wave
Singapore's perfect storm creates unprecedented opportunity. With 83% of employers unable to find skilled workers—double the rate from 2019—companies face a stark choice: upskill or face operational paralysis. The government's S$200M investment with 70% subsidies makes premium AI training affordable, but these funding cycles create time-sensitive windows for action.
Technology Edge
First-Mover in Collaborative AI Detection
While competitors measure attendance, Upskillrs measures actual learning. Our 30+ behavioural indicators track collaborative learning in real-time through multi-modal detection: linguistic analysis, affective recognition, and cognitive tracking via Graph Neural Networks
Science-Backed Innovation
Neuroscience Meets Learning Science
Our approach is grounded in the ICAP framework (Interactive, Constructive, Active, Passive), achieving the highest engagement category with 95% active participation and 80% interactive participation rates. Graph Neural Networks map classroom interactions as living networks, where every learner is a node and every exchange creates measurable learning pathways.