Foundry is Back in China! 4 New Opportunities with Stora Enso and Autoliv

Combient Foundry has returned to China with Autoliv and Stora Enso! The 4 new business opportunities available require solutions in timber stock, intelligent sensors, terrain measurement, and material innovation.

Each of these opportunities respond to a unique strategic business need in the Chinese domestic market. Click the links in the opportunity titles to learn more; if you represent a startup based in mainland China, please navigate to our Mandarin homepage to learn how to submit your solution.

Lightweight and Sustainable Materials with Autoliv

Autoliv has established a goal to become carbon neutral in its operations by 2030, and to achieve net-zero emissions throughout its supply chain by 2040. The breadth of their work includes everything from the component raw materials to low-carbon energy in our own and our suppliers' activities, as well as low-carbon transportation and packaging.

Next Generation of Sensing with Autoliv

Autoliv's main goal is to develop passive safety systems that can save lives while driving and in the tragic case of a car accident. In current automobiles, monitoring seat belt fastening or driver weariness, drowsiness, inattention, or simply taking your hands off the steering wheel can be avoided to save human lives.

Measuring Roadside Timber Stock with Stora Enso

Today, Stora Enso is one of the largest private forest owners in the world with forest assets valued at more than 7bn€ (land and biological assets) in 2020. Globally, Stora Enso owns or manages lands covering a total area of more than 2.0 million hectares. Now we are looking to find a software solution for measuring the forwarder and truck piles at a roadside, providing us with more accurate roadside stock data.

Slope Classification Digital Mapping with Stora Enso

Stora Enso relies on sustainable forest and plantation management to ensure the long-term availability of wood, our most significant renewable raw material. Identifying each forest site’s particular characteristics such as soil, terrain and vegetation, is essential for long-term forestry planning. Now we are looking to find a solution for forest slope classification by creating a colour-coded digital map or drawing based on satellite or drones images.

Please note that these opportunities are open to companies based in mainland China. Visit our Mandarin homepage to learn more about how to submit your solutions.