News

We are excited to announce a new evolutionary step for our company. The CGIT and Asymptotic AI joint venture AIXIA will offer machine learning operation solutions to companies and organizations working with AI.

The first tools that will be offered through AIXIA are AiQu and SnapXS.

Aiqu is an advanced scheduler specifically developed for AI workloads that will drastically reduce complexity when planning and using valuable compute resources. This will make daily a lot easier for deep learning teams and IT organizations by reducing reducing complexity and at the same time increase efficiency.

SnapXS is a data management software suite that enables efficient use of big data in AI ecosystems. It provides easy access to petabytes of data and its annotations. It enables easy search, filtering and data sharing with only a few lines of code. SnapXS will significantly increase the data related return of investment by maximizing the value of data, reducing the development cost and shortening the time to production.

Together, SnapXS and AiQu offers a turnkey solution to give you a head start in your AI development.

We are very excited to be the first Swedish company to offer a complete and proven AI infrastructure solution and machine learning operations platform both offered as a service or on-premise.

Contact us for more information.

We are now part of the accident data project IGLAD (Initiative for the Global harmonisation of Accident Data) where international safety experts from industry, government and research have build up an unparalleled database of global in-depth real world accident data within the last decade. Asymptotic is proud to be part of this unique source of safety expertise helping strengthen the development of safe automatic driving functionality based on real world data.

We are excited to join SAFER – Vehicle and Traffic Safety Centre at Chalmers to contribute to a sustainable and safe transport system. We will aid SAFER in their vision towards zero accidents by providing our tools for data quality checking, robustness control, edge case analysis and anomaly detection available in the collaborative research projects at SAFER.

Asymptotic aims to discuss and help applying machine learning to research projects in the SAFER consortium and they plan to disseminate and utilize SAFER’s research by bringing knowledge to real-world use.

MALIN LEVIN, SAFER

We are proud to have finalized our project funded by the Vinnova Innovative Startups initiative.

Thanks to the support from Vinnova, we have achieved our goals of enriching the technical functionalities of our AI platform and expanding our network. As a result, we have implemented two key components using the state-of-the-art deep learning technology and established several strategic partnerships with complementary expertise. We are looking forward to our journey ahead together with our partners!

The full public report can be found at Vinnova’s webpage.