Building the autonomous future

Meet Catharina Sundgren who has recently joined Univrses as Engineering Manager. Catharina has a distinguished background developing software products in technically advanced domains. She has previously worked with software for radiotherapy treatment, healthcare statistics and "edge" AI applications. At Univrses, she is managing several teams, supporting their development and helping them to maintain a good workflow. She is also supporting product development of our Smart City platform 3DAI™ City.
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Welcome to the team, Catharina! ...

We have the great privilege of welcoming Computer Vision Scientist Maheen Rashid to our team. Maheen has a PhD from the University of California Davis and has previously conducted research on the use of Computer Vision in animal care and for medical purposes. In her new role, she will help develop Smart City technologies that will change urban society as we know it.
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Welcome to Univrses, Maheen! ...

We are hiring! Univrses is expanding, and we are now looking for talented people to join our team in Stockholm. If you want to work with great colleagues in an international and innovative work environment, while developing high-end technologies that will change society as we know it, you have come to the right place.
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Read more about our open positions and apply today! >> https://univrses.com/career/ ...

Exciting news! During the spring of 2021, 3DAI™ City will be deployed in the City of Zürich, Switzerland. The aim of this deployment is to gather data that will enhance our understanding of the city - and at the same time, providing useful insights for our project partner Taxi 444.

Thanks to Taxi444 for taking this huge step together with us - for Zürich and for city development in general. ...

Our team of Engineers has been strengthened once again! This time, we have the privilege to introduce Peizheng Yang. Peizheng has a background in Electrical Engineering and has worked in the medical industry before transitioning towards Computer Vision and Deep Learning. At Univrses, he will develop algorithms that will make autonomous vehicles better and safer than ever before.
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Welcome Peizheng! ...

Searching for a parking spot is stressful and a waste of time. But it also causes pollution (around 10% of the transport sector CO2 emissions!), congestion and lost productivity in the urban area.
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3DAI™ City initiates a new paradigm in city parking. Univrses is developing technology to deliver on-street parking occupancy data in real-time, enabling drivers to find a free spot - and stop clogging the streets.
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Do you want to know more? Visit https://univrses.com/3dai-city/ ...

Understanding the ebb and flow of people’s movement in large cities is not a new task. With the COVID-19 pandemic, facilitating social distancing is at the top of every city’s agenda. As for many urban challenges, data is key. But when it comes to data about people, so is integrity.
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3DAI™ City provides access to anonymised pedestrian density data. A constant stream of aggregated data, helping governments and municipalities to understand people’s movement in urban areas, and enabling more efficient pedestrian traffic planning.
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Do you want to know more? Visit https://univrses.com/products/3dai-city/ ...

Potholes and other road damage cause harm. To vehicles, to the environment and, potentially, to people. Right now, the city relies on the general public for information about road damage issues.
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3DAI™ City introduces a new way of dealing with road damage. As computer vision algorithms process live images of the city, cracks, potholes and other damage can be detected and dealt with immediately.
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Do you want to know more? Visit https://univrses.com/products/3dai-city/ ...