What we can do for you.

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Artificial Intelligence

Features that were previously impossible become possible

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Proof of concept

The development of highly complex AI solutions brings both opportunities and risks with it. However, with resource-efficient prototypes, we can help you to balance these at a very early stage of the project and make a successful decision for the further development.

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Training of neuronal networks

Designing and training neural networks is not a one-time sequence of predefined steps. It is a repetitive process of data analysis, training and validation by the end user. We guide you through this process and provide creative solutions to enable an excellent user experience for the end customer.

Natrual Language Processing

The field of Natural Language Processing evolved very quickly in the last few years, leaving a lot of companies behind. We have experience with both classical NLP as well as Machine Learning-based (especially Deep Learning-based NLP). We can help you leverage natural language by adding unique features to improve the usability of your application.

Machine Learning

Machine Learning is no longer the sole domain of giant companies with a few thousand developers. We can help you train and deploy Machine Learning components at scale. Thanks to various techniques such as transfer learning and data augmentation we are capable of creating ML components even from limited data sets.

Computer Vision

Object recognition, image segmentation and scene reconstruction are just some of the things that can be done by leveraging Computer Vision methods. As with NLP we have experience with classical as well as Machine Learning-based methods allowing us to find excellent solutions to even complex Computer Vision problems.

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Our system works - customers are convinced

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Project description

In collaboration with the DocuWare GmbH, Titanom Technologies GmbH worked on an AI-based solution for sorting documents. Here, an artificial intelligence was developed, which converted documents into high-dimensional vectors on the basis of abstract layout as well as text. These could then be sorted and indexed. Through the resulting data structures, it is possible to highly efficiently select semantically similar documents for new and unknown documents on large data sets and use them to extract the index data of a new document.

DoKiva - Intelligent indexing of documents

"In collaboration with the DocuWare GmbH, Titanom Technologies GmbH worked on an AI-based solution for sorting documents. Here, an artificial intelligence was developed, which converted documents into high-dimensional vectors on the basis of abstract layout as well as text. These could then be sorted and indexed. Through the resulting data structures, it is possible to highly efficiently select semantically similar documents for new and unknown documents on large data sets and use them to extract the index data of a new document."

~Dr. Michael Berger, CEO of DocuWare GmbH

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Let's face your giants together.

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Andrija Vuksanovic

CEO (Project Management, Finance)

Mikhail Berkov

CTO (Software Architecture)