Alpha-Klima builds on physrisk, the open-source physical climate risk engine developed by OS-Climate, ensuring a fully transparent and auditable modeling framework. Our platform extends its capabilities through client-specific pipelines that transform physical exposure data into actionable climate risk metrics, aligned with regulatory frameworks such as CSRD or TCFD.
Technically, we leverage state-of-the-art tools from the Python ecosystem, including geospatial libraries like rioxarray, distributed computing with Dask, and advanced optimization and machine learning with Optuna. Our climate data inputs are drawn from the most recent peer-reviewed scientific literature, or, when not available, generated in-house by our data science team, which has developed pioneering methodologies for wildfire risk prediction.
What sets us apart is our rigorous approach to data and vulnerability modeling. Our damage functions are derived from academic research published in leading scientific journals, ensuring a scientifically grounded and replicable basis for assessing the physical impacts of climate change on assets and infrastructure.