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What we can do for you.

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Artificial Intelligence

Features that were previously impossible become possible

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Intelligent Tutoring Systems

Intelligent Tutoring Systems (ITS) are computer-based systems that use AI to provide personalized feedback to students. These systems attempt to simulate the experience of working with a human tutor as close as possible.

Why?

Inside a traditional classroom, teachers may not have the time or resources to provide personalised instructions to each student. This means that students can not realise their full potential.

How?

ITS provide personalised guidance tailored to the student's individual learning styles. Instead of treating all students as interchangeable, these systems empower teachers to address each student individually which results in a learning experience which is both more pleasant as well as more efficient.

What?

We apply both classical machine learning (like decision trees or hidden Markov models) as well as deep learning algorithms to achieve the individuality needed for ITS. Thanks to our excellent background in mathematical modelling, we also have the capability to engineer custom probabilistic models tailored to your specific needs.

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Natural Language Processing

Natural Language Processing (NLP) is a branch of AI that deals with techniques and algorithms to analyse, understand, and generate texts written in natural languages.

Why?

When working on certain tasks (like math exercises) a student can simply check his solution against a sample solution. However for domains like language learning this is not possible - the student has to wait until a teacher gives him feedback.

How?

We construct individualised validation components that provide personalised feedback for complex text exercises. Through this approach, students are able to make immediate improvements, leading to an accelerated rate of learning.

What?

We know how to approach common NLP tasks like text classification, morphological analysis, text parsing, text similarity evaluation. Thanks to our experts with backgrounds in both classical linguistics as well as deep learning we can engineer custom NLP components that will satisfy your unique needs.

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Multimodal interaction

Multimodal interaction in education refers to the use of multiple forms of media, such as text, audio, video, and images, to enhance the learning process of students.

Why?

When acquiring new vocabulary, it has been observed that students tend to learn most effectively when they are able to articulate the new terms. However, this proficiency can only be verified by a teacher, and the student is unable to independently practice this skill.

How?

Our company develops systems that are capable of validating multimodal inputs provided by students, whether it be through oral communication via microphone or through the creation of visual images.

What?

Drawing on experience from areas like computer vision and automatic speech recognition we build systems which can work with student inputs beyond raw text or numbers. We apply state of the art convolutional and recurrent neural networks as well as transformer - based architectures that improve with each user interaction.

Our system works - customers are convinced

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Project description

The text lab is a text editor in which students can create German essays based on a predefined writing plan. The software is able to evaluate these essays on both a content and linguistic level and provide individualized feedback to the student on a variety of criteria. With this tool, students can practice writing German essays independently and from the comfort of their own homes in the future..

Adaptive text lab for teaching German

"Titanom supports bettermarks in the development of a revolutionary adaptive textbook for German, which uses the latest methods of MachineLearning / Natural Language Processing. Titanom's employees are characterized by their combination of outstanding technical expertise and user-centered product development methodology. This makes them a perfect fit for our philosophy. This has enabled us to better utilize the potential of the technologies and to achieve impressive results even faster."

~Dr. York Xylander, CTO der bettermarks GmbH

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Get in touch

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Andrija Vuksanovic

CEO (Project Management, Finance)

Mikhail Berkov

CTO (Software Architecture)

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