Tensoreye develops AI-based computer vision solutions for mobility and healthcare providers. 

We develop cutting edge artificial intelligence technology for safety critical applications.
Our company has been over a decade devoted to the engineering challenge of the century, focusing on creating products that save and improve people’s live, an example of this being Autonomous Driving.
We are on the front seat of the digital transformation of a traditional industry, implenting production code in millions of cars on the roads.


While healthcare systems play an ever-increasing role in our society and economy, the tech solutions in this industry are scarce and far from cutting edge.
We are starting the journey to become the leading organization in the 
digital transformation of healthcare facilities in Latin America and Europe, hoping to expand trough the world in the future.
On our journey we aim to improve the health care quality for millions of people while enhancing efficiency in healthcare facilities.

What drives us is to address relevant problems that exist in our society. Products in safety critical applications are brought to life with Tensoreye’s framework for Deep Learning in the product life cycle. The framework connects data collection, labelling, model training, validation and release of deep neural networks such as semantic segmentation, monocular depth estimation, and holistic path prediction. 

Our international team of software engineers from more than 10 countries with backgrounds in Machine Learning, Computer vision and Robotics is based in Munich and Medellin. We always prioritise quality over quantity and value an inclusive company culture based on trust.

AI/ML

Information Technology

Software

Tensoreye

Sebastian Ramos

Peter Pinggera

Daniel Cano Jiménez

Martin Buchholz

The Engineering Team at Tensoreye is dedicated to designing and implementing advanced AI-driven computer vision solutions for mobility and healthcare systems. Comprising experts in software development and deep learning, the team focuses on creating robust algorithms for safety-critical applications, such as autonomous driving and healthcare analytics. By leveraging their diverse backgrounds in machine learning and robotics, they aim to enhance product reliability and efficiency, ultimately contributing to the digital transformation of traditional industries.

Engineering Team

About

Team members