• Dantia, a startup founded by former NASA scientists, has developed a natural language engine that can analyze and extract insights from vast amounts of Earth data. The engine uses machine learning and natural language processing to understand and interpret complex scientific data, making it easier for researchers and policymakers to access and use this information.

• The company has recently secured $6 million in Series A funding, which will be used to further develop the technology and expand its application to a wider range of environmental and climate-related data sources. The funding round was led by Congruent Ventures, with participation from existing investors, including Crosslink Capital and Greylock Partners.

• Dantia's natural language engine has already been used to analyze data from various sources, including satellite imagery, climate models, and scientific publications. The technology has been applied to a range of use cases, such as monitoring deforestation, tracking the spread of invasive species, and assessing the impact of climate change on ecosystems. The company aims to make this valuable data more accessible and actionable for researchers, policymakers, and the general public.