Gizmo Raises $22 Million Series A to Turn Screen Time Into Learning Time

Gizmo has secured $22 million in Series A funding, marking a major milestone for one of the fastest-growing AI-driven education platforms. The round was led by Shine Capital, with participation from Ada Ventures, Seek Investments, GSV, and NFX, adding momentum to a company already serving more than 13 million learners across 120+ countries.

Founded in 2021 by University of Cambridge graduates, Gizmo is building a new category of learning platform that blends artificial intelligence with the engagement mechanics typically associated with social media. Its goal is not to reduce screen time, but to fundamentally improve how that time is spent.

Rewiring the Attention Economy for Learning

Education has long struggled to compete with the highly optimized engagement loops of modern apps. While platforms like TikTok and Instagram continuously refine personalization, feedback, and reward systems, studying has remained largely static and often isolating.

Gizmo’s approach is to apply those same behavioral principles to learning. Instead of treating screen time as a problem, the platform reframes it as an opportunity—designing experiences that reward progress, encourage consistency, and create a sense of momentum. The result is a learning environment that feels dynamic rather than repetitive.

How the Platform Works

At its core, Gizmo transforms passive study materials into active learning systems. Users can upload notes, documents, or even web links, which are then processed by AI to generate tailored study tools.

These include interactive flashcards, adaptive quizzes that adjust to performance, and gamified challenges designed to reinforce retention. The system continuously refines itself based on user behavior, creating a personalized feedback loop that evolves with each session.

Beyond individual study, Gizmo incorporates social features that allow users to collaborate, compete on leaderboards, and maintain accountability with peers. This adds a layer of community to what has traditionally been a solitary activity, increasing both motivation and consistency.

Built for a Global, Mobile-First Generation

Gizmo’s rapid adoption highlights a broader shift in how learning is consumed. From students preparing for exams in the UK and US to professionals upskilling in emerging markets, the platform has become a daily habit for millions.

The company’s mobile-first design reflects the reality that smartphones are now the primary interface for learning worldwide. By meeting users where they already spend their time, Gizmo reduces friction and increases engagement at scale.

With the new funding, Gizmo plans to expand its engineering and AI teams while accelerating its push into the U.S. college market. This includes deeper product development aimed at increasing engagement and broadening the types of content the platform can support.

The company is also investing in features that strengthen retention and long-term usage, focusing on making learning not just accessible, but habit-forming.

An AI-Native Approach to Education

A key differentiator for Gizmo is that it was built as an AI-native platform from the ground up. Rather than layering artificial intelligence onto an existing product, the system is designed around automation, personalization, and continuous adaptation.

This allows Gizmo to eliminate much of the manual effort traditionally required for studying, such as creating flashcards or structuring revision plans. Instead, the platform handles these tasks instantly, enabling users to focus on learning itself.

As more students contribute content and interact with the system, the platform also benefits from network effects, improving the quality and relevance of its outputs over time.

The Future of AI-Driven Learning

Platforms like Gizmo point toward a broader shift in how education may evolve over the coming decade. As AI systems become more capable of adapting in real time, learning could move away from standardized formats toward highly individualized experiences that respond to how each person absorbs information.

This has implications beyond students. Continuous, on-demand learning could become embedded into everyday workflows, blurring the line between education and productivity. Instead of periodic upskilling, individuals may rely on AI systems to guide learning in parallel with their work, adjusting content dynamically based on performance and goals.

At a systemic level, this type of technology challenges traditional models of curriculum design and assessment. If engagement, retention, and mastery can be tracked continuously, the of exams, classrooms, and even formal credentials may begin to shift, opening the door to more flexible and outcome-driven approaches to education.