We unite multiple disciplines—machine learning, learning science, and impact evaluation—to understand the root cause of why students struggle and to build the evidence-based infrastructure that helps them, and our partners, succeed.
Our research is driven by three collaborative, interdisciplinary teams.
The mission of the Data Science team is to build the sophisticated models that power our intelligence engine. This team translates vast streams of academic research and real-world response data into the predictive, practical AI that underpins our entire ecosystem, from classroom tools to large-scale infrastructure.
The mission of the Learning Science team is to map the landscape of human knowledge. They architect our knowledge graphs, design our innovative diagnostic items, and ensure every piece of our technology is grounded in a deep, evidence-based understanding of how students actually learn.
The mission of the Evidence & Impact team is to put our impact to the test. The team designs and executes gold-standard Randomised Controlled Trials and validation studies, generating robust evidence that our work creates real and measurable learning gains.
Our work is guided by four core principles that define our approach to building the future of learning.
We believe the most powerful innovation starts by solving real problems for teachers. Our work is a virtuous cycle: we develop accessible, easy-to-use tools like our TEACH platform, which turns a single smartphone into a classroom-wide diagnostic tool. This allows us to learn from hundreds of thousands of students in diverse, real-world environments. The insights and data from this usage then fuel the sophisticated models that power our BUILD and LEARN infrastructure, ensuring our technology is always grounded in classroom reality.
True progress in education requires moving beyond simply measuring right and wrong answers to deeply understanding why a student gets stuck. This principle is at the heart of our work. Through our uniquely designed diagnostic items and inference models, we focus on identifying the specific misconceptions that act as barriers to learning, allowing our partners to deliver precise, effective interventions.
The greatest challenges in education demand a collective effort. We actively partner with the world's leading academic and industry labs, including Google DeepMind and the University of Cambridge, to advance the frontier of our field. We are committed to sharing what we learn, contributing to peer-reviewed science, and open-sourcing key parts of our infrastructure to lift the entire Learning Engineering field.
We believe the benefits of advanced technology should not be reserved for the most well-resourced. A core tenet of our research is designing for equity and accessibility. Our TEACH product is a prime example of this principle in action. By turning a simple smartphone and printed QR cards into a powerful assessment tool, we can bring the benefits of real-time diagnostic insight to classrooms with low connectivity and few devices, ensuring we empower teachers everywhere.
Are you looking to empower your teachers, build a smarter learning platform, or co-author the future of AI tutoring?