Personalised Learning at Scale

Revolutionising education with private AI that adapts to individual student needs, empowers educators, and streamlines institutional operations.

31.2%

Market CAGR

Projected annual growth of AI in education, reaching $32.27B by 2030.

62%

Better Test Scores

Improvement in student scores using AI-powered personalised learning programs.

80%

Time Saved Grading

AI automation significantly reduces the administrative burden on teachers.

71%

University Adoption

Of Australian university staff are already using AI for their work.

Core Applications & Impact

Our private AI solutions are designed to address the key challenges and opportunities in the education sector.

🎯

Personalised Learning Paths

AI algorithms create unique educational journeys for each student, identifying knowledge gaps and adjusting content in real-time to maximize engagement and retention.

Improves retention by 30%

✅

Automated Assessment & Feedback

Leverage NLP to provide instant, constructive feedback on assignments, accelerating student learning cycles.

Saves teachers up to 40% of time

💡

Intelligent Tutoring Systems (ITS)

Provide 24/7 one-on-one instruction with AI tutors that adapt to each student's pace and learning style.

Improves performance by 37%

⚙️

Streamlined Administration

Automate scheduling, resource allocation, and at-risk student identification to improve institutional efficiency.

85% accuracy in dropout prediction

Market Landscape & Future Growth

The AI in education market is experiencing exponential growth, driven by a global push for more effective and accessible learning solutions.

Global Market Growth (USD Billions)

Key Performance Improvements with AI

Success Stories

🦉

Duolingo: AI-Powered Language Learning

Processed over 500 million lessons daily with its "BirdBrain" AI to personalise difficulty, resulting in a 51% surge in daily active users.

🏛️

Deakin University: Applied AI Initiative

Achieved a 71% staff adoption rate for AI tools and established world-class AI research capabilities, significantly improving healthcare education outcomes.

Future Outlook & Challenges

📈

Opportunities

The 2030 education ecosystem will feature seamless AI integration, truly personalised learning paths, and empowered educators focusing on creativity and critical thinking.

🛡️

Key Challenges

Ensuring data privacy and preventing algorithmic bias.
Addressing digital equity to benefit underserved communities.
Providing robust training for an AI-literate teaching workforce.