MyPath represents a shift from content-led education toward intelligence-led learning, where the focus moves from what is taught to how effectively it is understood. Founded by Noor ul Hasan, the platform is built on a critical insight that traditional systems fail to capture individual learning behavior, often delivering uniform content to inherently diverse learners. By positioning itself as an adaptive AI layer rather than a conventional learning platform, MyPath enhances existing educational content through real-time interaction, contextual explanation, and personalized guidance.
In this conversation, Noor ul Hasan outlines the strategic thinking behind MyPath, the challenges of aligning innovation with market readiness, and a long-term vision centered on democratizing access to personalized, AI-driven education at scale.
Boardroom: What core problem in the education system led to the creation of MyPath?
Noor ul Hasan: The idea behind MyPath originated from a fundamental gap in how learning is measured and delivered. During the early stages at an incubation center, we observed that traditional learning management systems lacked any meaningful mechanism to assess student engagement or learning behavior. There was no structured way to understand how effectively a student was absorbing knowledge.
At the same time, it was evident that every student has a distinct learning style. Even within a small classroom, each individual processes information differently, yet existing systems deliver content in a uniform manner. This disconnect between teaching methods and individual learning needs became the central problem we aimed to address. Initially, the concept revolved around building a learning management system, but over time we realized that institutional dependency would limit scalability. This led to a pivot towards a more independent, student-centric model that could operate beyond the constraints of universities.
Boardroom: How did the idea evolve into its current form?
Noor ul Hasan: The evolution of MyPath was iterative and driven by experimentation. Over a period of more than a year, we continuously tested assumptions, refined the model, and adapted to practical constraints. The turning point came with the emergence of AI-driven tools and customizable intelligent systems.
While AI was being integrated into various domains, its application in education remained largely text-based. However, effective learning, particularly in technical subjects, requires visualization and interaction. A student cannot fully grasp concepts such as data structures without visual explanation or guided problem-solving. This insight shaped our core proposition. We set out to develop an AI assistant that behaves more like a human teacher, one that is interactive, adaptive, and capable of delivering personalized responses based on a student’s level of understanding, strengths, and weaknesses.
Boardroom: How does MyPath differentiate itself from traditional LMS platforms and digital learning portals?
Noor ul Hasan: The distinction is fundamental. Traditional learning management systems are infrastructure-driven and rely heavily on institutional administration. They provide a framework but do not inherently enhance the learning experience. Digital learning platforms, on the other hand, are content-driven. They offer pre-designed courses that students follow in a linear format. While scalable, they lack personalization and adaptability.
MyPath operates differently. It is neither dependent on institutional control nor limited to static content. Instead, it functions as an intelligent layer that can integrate with any course or learning material. It does not replace content but enhances the way learners interact with it. The platform focuses on real-time assistance, contextual explanations, and personalized learning pathways, thereby bridging the gap between static content and dynamic understanding.
Boardroom: What is your monetisation strategy, particularly in a price-sensitive market like Pakistan?
Noor ul Hasan: Monetisation in the education sector requires careful consideration, especially in a market where students are the primary users but not always the direct payers. Initially, we adopted a B2C approach with highly affordable pricing to ensure accessibility. However, it became evident that long-term sustainability would require a shift in strategy.
Our primary focus has now moved towards a B2B model. This involves partnering with educational platforms, course providers, and organisations to integrate our AI capabilities into their existing ecosystems. In this model, we provide an embedded AI assistant trained on the partner’s content. This assistant can answer student queries, explain concepts interactively, evaluate assignments based on predefined rubrics, and generate actionable insights through a centralized dashboard. Revenue is generated either through a commission-based structure on course fees or through subscription-based upgrades, where learners pay for enhanced AI-driven support within a course. This approach aligns value creation with revenue generation while ensuring scalability.
Boardroom: How does your platform enhance the learning experience for students?
Noor ul Hasan: The platform transforms passive learning into an interactive experience. Instead of relying solely on pre-recorded lectures or static materials, students can engage with an intelligent system that responds to their specific queries in real time. It provides explanations in multiple formats, including visual representations, step-by-step breakdowns, and adaptive questioning. It also assists in assignments, offering guidance rather than simply delivering answers.
Moreover, it generates data-driven insights for educators, highlighting areas where students struggle and enabling targeted intervention. This creates a feedback loop that benefits both learners and instructors. In essence, the platform aims to replicate the effectiveness of a personalized tutor at scale.
Boardroom: What challenges have you encountered in building and positioning this solution?
Noor ul Hasan: One of the primary challenges has been aligning innovation with market readiness. While the technology enables advanced capabilities, adoption depends on how well stakeholders understand and trust the system. Another challenge is navigating the structural limitations of the education ecosystem, particularly in terms of institutional integration and user behavior. Students often rely on external tools for quick answers, and redirecting that behavior towards a structured platform requires both value and convenience.
Additionally, building a robust AI system that delivers accurate, context-aware, and pedagogically sound responses requires continuous refinement and domain-specific training. Despite these challenges, the opportunity remains significant, particularly as digital adoption and AI acceptance continue to grow.
Boardroom: What is your long-term vision for MyPath?
Noor ul Hasan: The long-term vision is to redefine how learning is delivered and experienced. Rather than replacing existing systems, MyPath aims to become an intelligent layer that enhances all forms of education, whether formal or informal.
We envision a future where every learner has access to a personalized AI tutor that understands their unique needs and adapts accordingly. This has the potential to democratize quality education, making it accessible, scalable, and effective across diverse contexts. As the platform evolves, the focus will remain on integrating technology with pedagogy in a way that delivers measurable learning outcomes and meaningful user experiences.
