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Shape the

future of teaching with AI

Turn your lectures into an interactive learning experience. Automate content generation, increase engagement and track your students' understanding.

Trusted by 30+ institutions

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TU Munich Logo
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University of Duisburg-Essen Logo
Euro-FH Logo
SRH Logo
Hochschule Albstadt-Sigmaringen Logo
Heinrich-Heine-Universität Düsseldorf Logo
Leuphana Universität Lüneburg Logo
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Hochschule Bielefeld Logo
Pädagogische Hochschule Zürich Logo
Hanze University Logo
FH Münster Logo
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Zeppelin Universität Logo
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In three steps to teaching with AI

You work with existing materials, students learn adaptively, and you gain robust insights to improve your teaching.

Step 1

Set Up Your Course

Upload existing materials, define didactic guidelines, and specify how AI may be used in your course.

  • Structure materials centrally
  • Define rules and criteria
Upload MaterialsCourse Space A
Drop files here
Lecture_08.pdf87%
Exercise_Sheet_Market.docxReady
Script_Chapter_1-4.pdfQueue
AI Rules
Taxonomies
Wt.
Wt.
Upload Materials
Step 2

Adaptive Learning for Your Students

The AI chat answers questions based on your materials, with source references and support for more than 50 languages.

  • Responses with source grounding
  • Usable across multiple languages
Machine learning research paper on large batch training
AI Tutor
How does the batch size affect training neural networks?
A large batch size can speed up training but often leads to a loss in model accuracy.
All sources1
AI Chat
Step 3

See How Your Students Learn

See at a glance how your students perform per topic: where activity and scores are high, where gaps become visible early.

  • Student progress and performance per topic
  • Identify gaps early, adjust teaching precisely

Functions and Tasks of ERP Systems

Activities

14

Avg score

41%

Main topicssorted by Highest
Topic Overview

Our success stories from real-world practice

How AI is successfully integrated into real teaching and learning processes.

Pilot Program

Start a structured pilot together

We support institutions from the first conversation through onboarding and semester evaluation. This creates a clear framework to test acemate meaningfully in teaching and evaluate outcomes together.

Example of acemate usage in a higher education context

Intro

30 min

Align on goals, course context, and framework.

Onboarding

90 min

Introduce platform, course rooms, and didactic use cases.

Semester rollout

Semester start

Launch with students and support ongoing operations.

Evaluation

End of semester

Review usage and experience, then define next steps.

Flexible models for every institution

From your first course room to institution-wide AI infrastructure – choose the model that fits your context.

Free

For individual courses and a straightforward introduction to acemate.

  • 1 course room with up to 100 students
  • Basic classroom analytics

Pilot Project

For departments, institutes, or first structured tests with larger groups.

  • Up to 500 students
  • Unlimited course rooms and educators
  • All AI features without limits
  • Full classroom analytics
  • Scientifically supported evaluation
  • Live onboarding for educators, including materials for student onboarding.

Campus

For institutions building a reliable AI infrastructure for teaching and learning.

  • Unlimited students and educators
  • Central access to AI features for the entire institution
  • SSO integration
  • Admin and usage overview
  • White Label optional
  • Dedicated support and training

Security & Privacy

Everything for secure use in teaching

Compliance, data residency, and governance clearly defined.

GDPR compliant

Full compliance with European data protection regulations.

All data within the EU

100% of data processing takes place in European data centers.

No AI training

Your content is never used to train AI models.

Ready to get started?

30+ institutions already rely on acemate

With acemate, universities integrate AI into teaching in a controlled way, based on existing materials and with clear rules for use in the course.

And many more institutions

DHSHHochschule Albstadt-SigmaringenUni HildesheimHochschule KoblenzHochschule OsnabrückHochschule BielefeldKatholische Universität Eichstätt-IngolstadtFH MünsterLeuphana Universität Lüneburgmediadesign hochschuleZeppelin UniversitätOstfalia HochschuleHochschule PforzheimTechnische Hochschule RosenheimUniversität OldenburgTH DeggendorfHochschule Kempten
DHSHHochschule Albstadt-SigmaringenUni HildesheimHochschule KoblenzHochschule OsnabrückHochschule BielefeldKatholische Universität Eichstätt-IngolstadtFH MünsterLeuphana Universität Lüneburgmediadesign hochschuleZeppelin UniversitätOstfalia HochschuleHochschule PforzheimTechnische Hochschule RosenheimUniversität OldenburgTH DeggendorfHochschule Kempten
DHSHHochschule Albstadt-SigmaringenUni HildesheimHochschule KoblenzHochschule OsnabrückHochschule BielefeldKatholische Universität Eichstätt-IngolstadtFH MünsterLeuphana Universität Lüneburgmediadesign hochschuleZeppelin UniversitätOstfalia HochschuleHochschule PforzheimTechnische Hochschule RosenheimUniversität OldenburgTH DeggendorfHochschule Kempten
DHSHHochschule Albstadt-SigmaringenUni HildesheimHochschule KoblenzHochschule OsnabrückHochschule BielefeldKatholische Universität Eichstätt-IngolstadtFH MünsterLeuphana Universität Lüneburgmediadesign hochschuleZeppelin UniversitätOstfalia HochschuleHochschule PforzheimTechnische Hochschule RosenheimUniversität OldenburgTH DeggendorfHochschule Kempten