European Startups Using AI to Fight Climate Change

According to Atomico's State of European Tech 2021 report, European investments capture the largest share of total global capital backing early-stage purpose-driven tech businesses. This group includes planet-positive companies taking urgent action to combat climate change and its impacts. From reducing emissions and identifying risk factors to trade transportation and beyond, European startups are not so much working on more powerful AI as they are trying to get smarter about where and how to use it.

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DeepSea Technologies

DeepSea operates in the maritime sector, a large part of the supply chain for global trade. Statista's data states that around 80 percent of goods are transported via ships, a major cause of global pollution. DeepSea Technologies is using AI to make ships and voyages more efficient. In this case, unlike other technological solutions, AI reveals the unique characteristics of each vessel. "This is not only commercially important, but also critical to meet new environmental regulations that are rapidly transforming the industry," said Angus Whiston, Communications Director, DeepSea Technologies. The startup is a team of 80 people and their solutions optimize hundreds of vessels every day.

Vaayu

Vaayu leverages proprietary AI and machine learning technology to gain insights from a retailer's production, sales and logistics. The tool delivers unique, actionable insights into entire supply chains, empowering businesses to reduce emissions and collectively reduce 1 gigatonne of carbon emissions by 2030. The solution integrates with point-of-sale and product lifecycle management systems to calculate the carbon footprint of all daily operations. In doing so, the software uses a database of more than 600,000 data points. It is instrumental in providing retailers with accurate and detailed data about their operations, such as where their carbon emissions are the worst and, most importantly, where they should focus their efforts. Sandhu said in a statement;

7Analytics

Integral parts of 7Analytics' software solutions are artificial intelligence and machine learning. Both technologies enable the software to achieve higher precision in data mining and analysis. For example, the flood models provided by the startup learn from previous flood events to increase understanding of the parameters controlling these events. The company's next phase uses this insight to model other nature risks such as landslides and biodiversity. Jonas Aas Torland, CCO of the startup,

Greyparrot

The startup uses Al computer vision systems technology deployed globally at recycling facilities to analyze and sort large waste streams at scale. The startup's live waste analytics dashboard empowers waste managers, generators and regulators with the information they need to increase recycling rates and accountability along the waste value chain. The software uses images as well as video to identify and classify waste objects. The data is then sent to a waste analytics dashboard that allows facility managers to accurately track and sort materials with unparalleled visibility. Using APIs, the Greyparrot AI vision can be integrated into third-party sorting machines and robots, allowing industry to embed AI into existing infrastructure.