PlanetAI Space, founded in 2023 and headquartered in Malaga, Spain, operates at the intersection of climate-tech and clean-tech, aiming to quantify the planet’s natural capital. The company was established by a team of scientific engineers and doctors, including co-founders María Fernanda González (CEO), Iván Vilar (CSO), and Santiago Vargas (CCO). González, a serial entrepreneur with a Ph.D. in Quantum Physics and an MBA, brings over a decade of experience in deep-tech and AI, having previously founded Fregata Space and the non-profit PlanetAI Nature Space. This background in applying AI and Big Data solutions for large corporations is now channeled towards planetary well-being. The firm’s core B2B involves developing advanced technological solutions to monitor and evaluate environmental quality. It utilizes a combination of satellite technology, astrophysics, artificial intelligence, machine learning, computational chemistry, and big data to achieve this. PlanetAI Space provides services to a range of clients, including a notable project in 2023 with a Canadian oil company to detect a methane leak, which served as a key validation of their technology. The B2B model centers on offering technological tools that enable strategic decision-making related to environmental sustainability and public health. The company’s product suite includes a platform with several proprietary algorithms. The QuantumAqua Algorithm, a Quantum Machine Learning model, uses satellite data to detect underground water depletion, addressing global water scarcity. Other algorithms leverage satellite imagery and AI to monitor air quality by detecting pollutants like NO₂, PM2.5, and methane, and to assess soil quality indicators such as organic carbon and moisture. A key differentiator is the ability to measure pollution attribution in near real-time, identifying the origin and concentration of various pollutants. By making use of quantum computing, the firm can analyze massive satellite datasets to generate highly accurate predictions for climate trends and ecosystem dynamics. Keywords: natural capital quantification, climate-tech, environmental monitoring, satellite data analytics, quantum machine learning, pollution attribution, water scarcity solutions, carbon credit certification, air quality algorithms, soil quality monitoring, methane detection, remote sensing, environmental data, sustainability technology, deep-tech, earth observation, QuantumAqua Algorithm, climate resilience, environmental intelligence, planetary health
