Meet CDRai - Up-to-date, high-quality, transparent carbon removal knowledge at your fingertips

OpenAir is thrilled to officially launch CDRai (beta), quite possibly the world's first large language model (LLM) platform exclusively dedicated to carbon dioxide removal knowledge-building for a universal user base.

Our primary objective is to enable anyone with an interest, however nascent, in the complex world of CDR to rapidly find detailed, credible answers to a wide range of queries related to science and research, market conditions and dynamics, policies and other factors driving the sector's growth and evolution.

Designed to strengthen science-based understanding of carbon dioxide removal (CDR), the tool leverages AI to generate detailed, yet accessible responses for everyone- policymakers, journalists, civil society organizations and the general public. It is free and open to use for all. 

CDRai is also designed for users exploring specific CDR pathways and related concepts. Even at this early beta phase with just 600+ sources, CDRai will give you a pretty solid breakdown of detailed concepts such as understanding emerging trends in direct air capture chemistry. It also has the potential to advance carbon dioxide removal solutions through discovering new use cases. 

The tool, powered by Pulze, uses a form of LLM called Retrieval-Augmented Generation (RAG) to ensure meticulous and up-to-date responses from top-tier sources. Our database consists of peer-reviewed journals, accredited institutions, and government research published since 2022. Every source is transparently listed so anyone wishing to dive deeper into the materials can do so easily.

CDRai first got going in late 2023 as the kernel of an idea, hatched by Bay Area OpenAir member Tina Baumgartner, and moved quickly onto project tracks with the contributions of fellow members Tank Chen (Taichung, Taiwan), Peter Hoberg (Santa Rosa, California), and Christopher Neidl (Austin, Texas).

We would like to kindly invite you to first give it a try, and help spread the word! We hope CDRai contributes to building knowledge about this critical and ultimately inspiring part of the climate challenge.

Check out this example of
an use case for fact checking

Happy prompting everyone!