Post by dClimate Labs

We’re thrilled to officially launch dClimate Labs — the product layer of the dClimate ecosystem to deliver scalable, real-time intelligence for nature, energy, agriculture, and asset-level climate risk. At the heart of Labs is EarthOS, the world’s first commercial AI-powered digital twin of Earth. It powers a suite of enterprise-ready platforms designed to bring trust, precision, and scale to natural capital markets and risk infrastructure: CYCLOPS — A digital MRV platform for nature-based climate solutions, supporting the full project lifecycle from due diligence and feasibility to long-term monitoring and credit issuance. Aegis — A climate risk modeling engine that allows insurers and investors to simulate the financial impact of hazards like floods, droughts, and wildfires across individual assets and global portfolios. Siren — A real-time alert and forecasting system for extreme weather, supply chain disruptions, and climate volatility, used by leaders across energy, commodities, and logistics. These platforms are already in use by some of the world’s largest companies and institutions across carbon markets, agriculture, finance, and insurance. Built on dClimate’s decentralized infrastructure and reinforced by our foundation modeling architecture, dClimate Labs brings unprecedented scientific rigor and operational scale to climate risk management. The effort is led by Jon P. (CEO), a veteran of global commodities and environmental analytics, and Dr. Clement ATZBERGER (Chief Scientific Officer), one of the world’s foremost experts in satellite-based remote sensing and the architect of our self-supervised AI framework. They are joined by a world-class team of scientists, engineers, and climate risk specialists. This is infrastructure for a resilient planet—built for institutions that need more than insight. They need impact. → Learn more: www.dclimate.ai Read our launch blog post here: https://lnkd.in/ggtpgVkV #ClimateTech #NaturalCapital #DigitalTwin #MRV #ClimateRisk #Sustainability #AI #EnvironmentalMonitoring