Open technologies - AI for the environment
We build advanced AI to drive transformative solutions across a broad spectrum of environmental challenges—from climate science and maritime intelligence to sustainable resource management and conservation initiatives. We partner with a diverse global network of organizations to deliver cutting-edge technology into the hands of change-makers at the forefront of conservation initiatives worldwide.
AI for the environment - Earth System
Earth System will be an open-source AI platform representing an innovative leap forward in delivering AI-powered planetary intelligence. By integrating multimodal foundation models, planetary-scale datasets, and infrastructure in an adaptable and scalable unified platform, Earth System will serve a range of earth observation applications.
AI for the environment - EarthRanger
EarthRanger is a cutting-edge platform designed for wildlife conservation, enabling real-time monitoring and data collection to protect threatened species and manage protected areas and landscapes effectively. It has facilitated the reintroduction and restoration of diverse species and ecosystems globally.
AI for the environment - Skylight
Through state-of-the-art, open-source AI, Skylight is part of Ai2’s commitment to rejuvenating the health of our ocean for future generations. The software solution empowers conservationists and under-resourced countries to detect and stop illegal fishing, safeguarding marine biodiversity, livelihoods, and food security.
AI for the environment - Wildlands
Ai2 is applying machine learning to the complex problem of wildlands management, enabling land managers to record and assess conditions and make key decisions that keep communities safe.
AI for the environment - Climate modeling
We’re creating better data and technologies to inform how we mitigate and adapt to the biggest challenges the environment is facing today including sea level rise, community destruction, and biodiversity loss.
AI for the environment - Satlas
Use satellite imagery to see how our planet’s surface is changing and explore how our AI models can enhance low-resolution satellite imagery to produce high-resolution images on a global scale.