Introduction

UniBeta began as a project by two University of Lagos graduates determined to remove the hidden costs of exam preparation. Founders Dare Adeola and Olamide Onigbanjo set out to build a platform that would let students maximise their academic potential without sacrificing their personal lives.

What Happened

The startup launched with ambitions to be a campus-wide super-app, bundling timetable scheduling, peer tutoring, lifestyle content, and a student marketplace. Rapid expansion brought buggy code, repeated app store rejections, and a painful lesson in seasonality: user spikes vanished the moment exams ended. Stripping away non-essential features revealed that students primarily needed targeted revision support during exam cycles.

Why This Matters

General-purpose AI chatbots struggle with the nuances of Nigerian university syllabuses and photocopied course materials. UniBeta AI was rebuilt to recognise recurring topic clusters from past papers, generating flashcards, multiple-choice quizzes, and modular summaries that align with how students actually study. The tool is tuned to local academic contexts, offering a distinct advantage over generic education bots.

Key Takeaways

  • UniBeta shifted from a bloated super-app to an AI-focused revision engine.
  • The platform analyses past exam papers to surface high-yield topics rather than rote questions.
  • It offers a free tier and paid plans ranging from ₦2,000 to ₦6,000.
  • Revenue streams include events, sponsored content, and an angel investment secured in September 2025.
  • The team is in discussions with the National Universities Commission to standardise campus-wide data.

Conclusion

UniBeta's evolution illustrates how localized AI can solve region-specific edtech challenges. By focusing on topic clusters and student behaviour patterns the platform provides a scalable model for exam preparation across Nigerian universities. Its next push for NUC-wide data integration could make the tool accessible campus-wide without separate onboarding.