11 examples of AI solutions against climate change for zero carbon

According to the International Energy Agency (IEA), the majority of CO2 emission reductions until 2030 will come from technologies on the market today. Achieving net zero by 2050 is nothing less than a capital effort, and the energy sector plays a key role in achieving it. Technology is essential to achieving carbon neutrality and, unsurprisingly, startups have a unique role to play.

Business leaders around the world need to scrutinize the impact of their organizations on the climate and thus respond to the critical threats of global warming impacting our planet. The Boston Consulting Group (BCG) points out that “we must reduce these carbon emissions by 50% by the end of this decade. ”

According to Charlotte Degot, Managing Director and Partner of BCG GAMMA, “We cannot reduce what we cannot measure. Corporate climate action does not match our ambitions: one of the main reasons is that companies do not accurately measure their climate impact and do not track it sufficiently over time. Fortunately, tools and techniques to help us exist, one of the most powerful is artificial intelligence. No AI solutions that matter more to humanity than decarbonizing the atmosphere and winning the war on climate change.

Beyond the limits

To address complex business challenges on Earth, California-based Beyond Limits provides sophisticated cognitive AI solutions with the resilience, reasoning, and autonomy required by the vast scale and ever-changing spatial conditions. Beyond Limits creates revolutionary AI technology that is an evolutionary step forward from traditional AI’s ability to perceive, understand, connect, learn, teach, reason and solve problems. The company’s solution combines deep learning and machine learning technologies with symbolic AI to mimic human intuition. Beyond Limits is led by CEO and co-founder AJ Abdallat and has raised $ 158.5 million in funding from investors such as BP Ventures and Group 42.


An AI-powered solution to help companies accurately measure, simulate, track and optimize their emissions at scale. Patented cutting-edge CO2 AI technology harnesses deep learning, graph theory, among other techniques, to increase the accuracy of emissions measurement, automate calculations, and support decision-making with advanced features such as recommendations automated reduction levers. CO2 AI unlocks significant precision gains in emissions measurement and enables a 30-40% reduction in emissions for large companies. It has already been implemented in many industries (consumer goods, retail, pharmaceuticals to cement) around the world.


Watershed, based in California, is on a mission to accelerate the adoption of clean, renewable energy at scale and desalination of electricity. They provide end-to-end solutions that range from early stage market assessment to technology implementation. Watershed shows companies where every kilogram of carbon comes from. It uses AI to analyze Scope 3 emissions with granular data on specific suppliers, compare them to their industry, and identify high-emission suppliers and categories. Co-founder Taylor Francis runs the business.


According to the site, Montreal-based BrainBox AI uses self-adapting artificial intelligence technology to proactively optimize one of the world’s largest energy consumers and GHG emitters: buildings. It is often overlooked that one of the main contributors to this energy consumption comes from the heating, ventilation and air conditioning (HVAC) systems of buildings. 45% of the energy consumption of commercial buildings comes from HVAC, of ​​which 30% is typically wasted. The CEO runs the company and co-founder Sean Neely has raised $ 12 million in financing and is supported by Desjardins Venture Capital and Adventure Esplanades.

Planning a

Berlin-based Plan A has developed an AI and digital-based SaaS platform for automated carbon accounting, decarbonization, ESG management and reporting that serves customers across the world and is TÃœV certified. . Their technology allows companies to manage their carbon accounts while reducing their negative environmental impact. Plan A enables companies to play a vital role in the effort to achieve net carbon emissions. CEO and co-founder Lubomila Jordanova heads the company which has raised $ 5 million to date and is backed by SoftBank and Demeter.


Tel Aviv-based Albo uses deep learning to analyze satellite imagery and map, measure and monitor space and time using AI for carbon sequestration in natural projects. They are revolutionizing the carbon credit market by making carbon elimination more scalable. The company is managed by CEO Jacques Amselem and is backed by the Techstars accelerator.


By leveraging machine learning, natural language processing and complex mathematics to satellite imagery, geolocation data, textual information, and other raw alternative data, Paris-based Kayrros assesses and monitors the energy, natural resources and industrial activity around the world. According to the site, “Kayrros derives value from integrating alternative and market data into unique solutions and customer product offerings while measuring environmental impact and providing insight into climate and climate risks. energetic transition. Alexandre d’Aspremont founded the company, Antoine Halff, Antoine Rostand, Jean-Michel Lasry, Laurent El Ghaoui, who have raised $ 34.5 million to date and are supported by Index Ventures and Koreyla Capital.


Based in Denmark, Tomorrow is a tech startup that uses data and machine learning to automatically quantify the climate impact of our daily actions. Tomorrow was founded in 2016 by a group of data scientists, machine learning engineers and climate change experts to automate carbon accounting and enable large-scale environmental activism. The company was founded by Olivier Corradi and is backed by the investment company Revent.


Munich-based FoldAI brings the latest technologies and rapidly evolving algorithms to ecosystem monitoring. They use local multidimensional sensing, sensor networks, advanced computing and AI, cloud AI and energy harvesting for ecosystem health monitoring, risk assessments, quantification of biodiversity and environmental impact assessment. The company was founded by Friedrich Foerstner, Giovanni Carmantini and Jake Turner and is supported by the incubator XPRENEURS.

Blue sky analysis

Blue Sky Analytics, based in India, has created a data analysis platform to extract environmental information from satellite images. To do this, they use an AI-powered infrastructure that scans every pixel on the planet for relevant information such as air quality and water pollution to enable people around the world to more easily access the information they need about their environment to live a healthier, stress-free life. danger. They are building a one-of-a-kind planetary digital twin called SpaceTime, which is expected to launch soon. The company was founded by Abhilasha Purwar and Kshitij Purwar has raised $ 1.5 million in funding and is backed by International Finance Corporation and Stellaris Venture Partners.


Patch is an API-based carbon elimination solution and platform that enables businesses to calculate activity emissions and neutralize that footprint through the purchase of carbon elimination and offsets. Patch allows users to customize their purchasing portfolio from a vast network of both nature-based and borderline negative emissions-based technology projects, while enabling developers to create climate-positive features at the using its API-based infrastructure. Patch was founded by Brennan Spellacy and Aaron Grunfeld, and recently raised $ 20.75 million in its Series A run by Coatue Management. Patch is also supported by Andreessen Horowitz, Version One and Pale Blue Dot.

The path to follow

Climate change is a serious global problem, and there is no end in sight. Many organizations use sophisticated tools and technologies such as artificial intelligence (AI) to reduce carbon emissions and increase energy efficiency.

These eleven companies offer software and hardware solutions that use AI tools to improve everyone’s quality of life while reducing environmental impacts in all industrial sectors.

Artificial intelligence algorithms and machine learning analytics can deliver a range of benefits to businesses, cities, and individuals. Carbon emissions can be reduced in a variety of industries, from manufacturing to transportation. There is huge potential for AI-based software and hardware solutions to address the challenges associated with climate change. The race is on as companies continue to develop and design AI-based products that reduce emissions. Now is the time to accelerate that momentum and reap the benefits of AI to reduce carbon emissions, thereby improving the climate.

As the battle to cut emissions progresses, one thing is clear: with so many innovative new technologies on the horizon; we could very well achieve carbon neutrality in our lifetime.

About Shirley L. Kreger

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