Where does the name Maeve come from?

The name Maeve is inspired by Maeve Wiley, a character from the series Sex Education. She's known as the rebellious "bad girl" who is also incredibly smart. Just like our platform, Maeve combines boldness with intelligence.

Maeve was founded in 2025 by two tutors with backgrounds in business engineering and mathematics. Today, it operates as a private company in the educational software industry, with headquarters in Europe.

How is Maeve different from Studocu, Anki, Quizlet, and similar platforms?

Platforms like Anki and Quizlet are fantastic for flashcards, but they usually require you to build everything yourself. Maeve takes things further: it's a holistic AI-powered study tool. Simply upload your lecture slides, notes, or other materials, and Maeve instantly generates notes, summaries, flashcards, multiple-choice questions, and even an exam simulator. This saves time and gives you a complete, all-in-one study experience.

How much does it cost?

Maeve works on a subscription model.Monthly: €10Yearly: €60You can cancel anytime with no strings attached.

What languages does Maeve support?

Maeve currently supports 8 languages: English, German, Dutch, French, Spanish, Polish, Italian, and Portuguese.Need another language? Just reach out and we will add it.

Can Maeve help improve my grades?

Yes. Maeve is designed to make your study routine smarter and more efficient. By tailoring notes, summaries, and exercises to your learning style, and by providing instant feedback, Maeve helps you focus on what matters most. Research shows active learning and spaced repetition improves results. Maeve makes it engaging and effective so you can achieve better academic performance.

Can I cancel my subscription at any time?

Absolutely. You can cancel whenever you like. Your subscription will remain active until the end of your billing cycle, whether monthly or yearly.

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Course Presentation and Lecture 01 - Introduction to Data Science (1).pdf

Course Presentation and Lecture 01 - Introduction to Data Science (1).pdf

See also

01 - Introduction to IT_watermark.pdf

01stable-matching.pdf

01_-_What_is_big_data.pdf