Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into climate change startups. This time, you get to discover 5 hand-picked startups developing big data & analytics solutions tackling climate change.
Global Startup Heat Map: 5 Top Big Data & Analytics Startups tackling Climate Change
The 5 big data analytics startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 big data analytics startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 200 companies we analyzed for the climate change topic.
Dynamhex provides city-wide Climate Action Planning
Nowadays, smart cities plan urban development in compliance with Sustainable Development Goals, established by the United Nations. When it comes to planning, city authorities consider various data sources and parameters. These include greenhouse gas emissions, ecosystem health, energy capacities, and citizen demands, among others. Startups and scaleups leverage big data analytics to assist cities and governments in proper planning for sustainable development.
The US-based startup Dynamhex develops a climate action platform for city-wide big data analytics. It uses data at the level of buildings, households, and separate enterprises to visualize climate intelligence in cities. The startup’s solution applies AI-mediated analytics to display dynamic recommendations. Furthermore, Dynamhex facilitates the planning of city-level climate support projects, evaluating their impact on the climate and tracking associated carbon reduction targets.
risQ offers Financial Risk Modeling for Climate Change
Climate change not only impacts natural habitats and biodiversity but also directly incurs financial risks for the world population. These include physical risks, related to worsening weather conditions, exposure, and damage to physical infrastructure. Moreover, climate change also has potential operational risks, influencing commodity and financial asset pricing. Startups analyze economic and climate change data to simulate the effects of global warming and predict potential financial risks.
The US-based startup risQ develops a financial risk management platform for municipal bond market issuers, investors, and other stakeholders. The startup’s big data analytics tools utilize geospatial machine learning (ML), climate science, and catastrophe simulations. The startup’s solutions transform climate fluctuation data into financial indicators that consequently signify opportunities for both profits and sustainability.
Tomorrow enables Carbon Impact Intelligence
Following sustainability trends, many individuals, commercial firm owners, and nonprofit leaders plan to lower their carbon footprint. However, the immense information on climate change and carbon accounting today make big data handling challenges. Startups and emerging companies utilize AI and ML algorithms to process big data and derive relevant insights about carbon impact.
Danish startup Tomorrow applies data science on big environmental data and publicly available datasets to evaluate the carbon impact of individuals and businesses. The startup’s product, electricityMap, collects and analyzes global electricity usage to calculate the CO2 footprint of countries. Bloom, another Tomorrow solution, applies machine learning algorithms to derive and visualize carbon intelligence to support the decision-making of companies or organizations.
foldAI provides Natural Ecosystem Monitoring
Climate change mitigation involves considerable efforts for effective energy efficiency maintenance for industries. It involves the introduction of renewable energies, reforestation, and other carbon offsetting actions. Also, while managing anthropological influence, it is important to keep track of natural ecosystem health. Startups and scaleups develop hardware and big data analytics solutions that monitor the state of natural habitats and help in augmenting nature’s regenerative capacities.
German startup foldAI addresses the issues of climate change remediation with its natural ecosystem monitoring and analytics solution. The startup’s edge computing hardware includes energy-harvesting sensor nodes, placed over the forest and natural habitat networks. It uses analytics software that leverages big data to assess the environmental effects of climate policies, quantify biodiversity, and send alerts in case of threats.
Blue Sky Analytics creates a Planetary Digital Twin
Digital twins find numerous successful applications in many industries, including manufacturing, energy, automotive, logistics, and construction. Startups and scaleups leverage large amounts of geospatial, satellite, sensor, and business intelligence data to create digital twin solutions. These solutions replicate the structure of the atmosphere, hydrosphere, lithosphere, or biosphere of Earth to visualize planetary conditions and alleviate the burdens of climate volatility.
Indian startup Blue Sky Analytics develops a big data aggregation and analytics platform for planet environmental intelligence. The startup utilizes satellite geospatial information, as well as ground, water, and air parameters from the Internet of Things (IoT) sensors to build a digital twin of the Earth. Blue Sky Analytics applies AI algorithms to generate real-time predictive insights and support decision-making in terms of climate action.
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