Sentinel is built to give you information from the wild in minutes instead of months. This eliminates the need for the huge amounts of time and resources otherwise spent checking field sensors, replacing batteries and SD cards, and processing data manually. As a result, we are reducing the amount of carbon emissions released through less fuel and power used in day-to-day workflows. 

Sentinel is an all-in-one AI product from model training to data processing on field sensors. Our devices and software make using AI intuitive and manageable, even in the most remote parts of the world.  

Pre-seed

USA 

Sentinel AI is currently been testing and deploying  in Costa Rica, Colombia, Republic of the Congo, Virginia, Montana, Hawaii, California 

Climate change disproportionately affects the global south. We are a solution that provides financial resilience to these populations for the first time. Historically less than 10% of economic loss in the global south has been insured. We create the solutions these communities need and allow the global insurance industry to reach them.

Yokahu uses the latest in data science and artificial intelligence to develop advanced risk models on which to base new products. Our in-house data science team is adept in the latest geospatial predictive modeling techniques, including Monte Carlo & Markov Chain simulation, extending existing climate models for better near-future forecasting, and directed graphs & Entropic superposition modeling.

Late Seed

UK 

Available Globally

By applying proprietary AI algorithms to satellite data, Albo Climate precisely quantifies and maps land use and carbon dynamics at high accuracy and resolution, deploying next-generation digital MRV (Monitoring, Reporting, and Verification) and catalyzing carbon financing to reach gigaton-level of nature-based CO2 removal. Albo Climate aims to unlock the massive potential of Nature-Based Solutions to sequester atmospheric carbon and mitigate the adverse effects of climate change while increasing the accuracy, confidence, and transparency of nature-based carbon offsetting strategies.

Albo Climate leverages AI to provide accurate and scientific data on carbon removal in high-impact Nature-based Solutions. Albo developed a suite of AI models to quantify and monitor carbon removal both above ground and below ground (Soil Organic Carbon), making our technology deployable to any ecosystem.

Seed

Israel

North America, South America, Southern Africa, Europe, South-East Asia, Australia

Using AI to protect and restore nature to help solve climate change.

Nature could contribute as much as 30% of what’s needed to meet this decade’s Paris Agreement goals. However, today’s carbon market has not managed to make a significant dent in global carbon emissions. The market has also suffered from well-publicized concerns about credit quality, damaging trust in the market. 

Pachama helps businesses confidently invest in nature to meet their climate goals today and make long-term strategies for the future. Harnessing the latest advancements in remote sensing and machine learning, we rigorously evaluate existing forest projects to find the highest quality credits and start new reforestation and conservation projects from the ground. Pachama is building a digital measurement, reporting, and verification platform that will help deliver high-quality and transparent crediting at a fraction of the time and cost of today’s traditional methods. This modern future will bring more high-quality projects to the market, allow businesses to make more informed carbon investment decisions, and drive more funding to the communities restoring and protecting the land. 

Since Pachama was founded, it has evaluated over 150 forest carbon projects globally and started a number of new restoration and conservation projects in Brazil, Mexico, and the United States. 2.3M tons of CO2e has been avoided or removed as a result of investments in carbon credits through the Pachama marketplace.

Harnessing the latest advancements in satellite imagery, remote sensing, and machine learning, Pachama evaluates the carbon stored in our forests and monitors forest growth over time. Pachama’s remote sensing-based machine learning models can observe forest change both within a project and the surrounding region, enabling a data-driven approach to computing a project’s emissions impact. Without a satellite view of the landscape, status quo crediting often relies on assumptions and varied calculation methods that can result in over-crediting. Pachama’s technology aims to produce high-quality, transparent, and scalable crediting that can restore nature globally.

Series B

 

USA 

Pachama has supported Avoided Deforestation, Reforestation, and Improved Forest Management projects in 15 countries, including the United States, Brazil, Indonesia, and Colombia.

Xylem’s WWNO analytics and optimization algorithms help utilities unlock the power of their system data to manage and operate their wastewater and stormwater networks and achieve greater compliance with local water quality requirements and regulations.

 

WWNO helps the climate by helping water managers optimize the assets they already own to reduce combined and sanitary system overflows, reducing the stress on receiving water bodies and reducing the amount of construction required to achieve regulatory compliance.

 

WWNO’s analytics use machine learning and AI to amass large system data sets and run thousands of simulations in a highly efficient and real time manner. The near real time analytical outputs can be presented and used across a water utility to inform management, operations, and other stakeholders.

Publicly traded company

USA based, operating globally 

Global

Full-stack Aquaculture Platform To Bring Sustainability Through AI & Satellite Remote Sensing.

 

Our platform quantifies the emission from the pond and measures the carbon footprint. This is the first step towards seafood decarbonization is to understand the impact on the ecosystem.

 

Series A

India

6 states in India

Seed

France

World coverage

USA

South Asia and Africa

Sprout provides farmers with the tools to transition with climate change by offering digital protection products such as early warning systems for crop weather risk Sprout Alerts and helping recover from extreme weather events with parametric insurance. These tools make it possible for farmers to make on-farm investments in sustainable agriculture.

Sprout uses machine learning alongside our farm-level data to improve our climate-based products. We have worked with NASA Harvest to map where coffee is grow in Kenya using and are estimating production levels using climate variables. We leverage satellite data and geospatial data to reduce costs and improve accuracy. create data that’s used in parametric insurance we design.

Seed  

USA, Headquartered in California.

 Operating in East Africa. Expanding to Central America soon.

Kayrros enables climate adaptation, prevention and mitigation thanks to reliable data. Businesses and public authorities use our risk maps and analytics to predict the likelihood of wildfires, identify areas and populations at risk and implement risk mitigation strategies.

AI and advanced analytics are paramount to process a large volume of satellite imagery and fuse together the ~20 risk drivers (vegetation, urban expansion, slope, proximity to infrastructure...) included in the wildfire risk model. Advanced data analytics is used to refresh the risk model and generate new risk maps on a monthly basis. IA is also trained to detect high-risk zones and display the driving risk factors at the asset or area level.

 

In March 2022, Kayrros raised €40 million from investors including the French Public Investment Bank Bpifrance, BNP Paribas, and the European Investment Bank to support the development of its geospatial detection technology. Kayrros has raised $78.6 million to date.   

Our wildfire solution is currently deployed in North America, Europe and Australia. The solution is scalable worldwide.