Question: I'm looking for a tool that uses AI and machine learning to detect and respond to environmental issues like deforestation and oil spills.

If you're looking for a tool that uses AI and machine learning to spot problems like deforestation and oil spills and take actions, EOSDA could be a good candidate. This geospatial data analytics platform uses satellite imagery and machine learning algorithms to offer insights for sustainability and decision making. It includes tools for precision agriculture, forestry and environmental monitoring, including crop monitoring, yield forecasting and carbon modeling, which could be useful for spotting problems and taking actions.

Another interesting option is Nearmap. This service offers high-resolution imagery, 3D modeling and AI predictions to help businesses, communities and governments make decisions. Its features include near-infrared imagery for environmental monitoring and post-catastrophe imagery for disaster response, so it could be used to monitor and respond to environmental disasters like oil spills and deforestation.

For a wider range of uses, C3 AI has a more general purpose enterprise AI software foundation with more than 40 pre-built AI applications. Its Sustainability Suite is geared specifically for environmental sustainability, but it's a good general-purpose tool for building and deploying AI applications to address environmental problems in many different industries.

Last, Dataloop combines data curation, model management, pipeline orchestration and human feedback to speed up AI application development. It can handle a variety of unstructured data types, including images, videos and text, so it's a good general-purpose tool for managing and deploying AI models to monitor and respond to environmental problems.