Terrafuse AI
Terrafuse AI, founded in 2020 and based in Palo Alto, California, is a climate risk analytics company focused on providing hyperlocal risk assessments.
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About Terrafuse AI
Terrafuse AI, founded in 2020 and based in Palo Alto, California, is a climate risk analytics company focused on providing hyperlocal risk assessments. The company generates climate risk scores utilizing machine learning techniques to help organizations understand and mitigate potential losses stemming from climate change and extreme weather events. Terrafuse differentiates itself by offering risk scores at a highly granular spatial resolution – down to a few meters – enabling precise impact assessments for specific locations.
Key to Terrafuse’s capabilities is its data sourcing and model training process. The company leverages billions of earth observational data points and integrates the physics of the atmosphere into its machine learning models, considering over 50 environmental conditions to predict the likelihood of climate-induced damage. These models are validated against historical data to ensure prediction accuracy. Terrafuse delivers its risk scores via API integration, allowing customers to incorporate climate intelligence directly into their existing decision-making systems.
Currently, Terrafuse offers a free online tool for wildfire risk assessment in California and provides demonstrations of its technology. While specific customer details are not publicly available, the company highlights that over one in four organizations globally are already experiencing impacts from climate change, indicating a broad potential market. Terrafuse positions itself as a provider of actionable intelligence, empowering organizations to make confident, climate-informed decisions and build resilience against increasing environmental risks.
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Data Accuracy Notice: Information about Terrafuse AI is compiled from publicly available sources including company websites, press releases, regulatory filings, and industry reports. Data is reviewed periodically but may not reflect the most recent developments.