Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights. This time, you get to discover 5 hand-picked weather analytics solutions.
Out of 602, the Global Startup Heat Map highlights 5 Top Startups advancing Weather Analytics
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 602 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 597 weather analytics solutions, get in touch.
Salient Predictions develops a Weather Forecasting Platform
Weather conditions affect the daily operations of agriculture, energy, and food, among other industries. On the other hand, accurate weather forecasts mitigate these by efficient planning, as well as enable the timely detection of tsunamis, floods, and other natural calamities. However, conventional synoptic and numerical weather prediction (NWP) methods are unable to integrate the complex and chaotic nature of weather into computations, leading to erroneous forecasts. To tackle this, startups develop weather monitoring and analytics solutions based on the Internet of Things (IoT), artificial intelligence (AI), and remote sensing.
Salient Predictions is a US-based startup that provides a weather forecasting platform for insurance, finance, utility, and agricultural sectors. The startup’s platform uses machine learning on the ocean and land surface data which controls seasonal weather patterns to predict precipitation and temperature for sub-seasonal, seasonal, and long-range periods. In effect, this allows users to identify heat and cold waves, floods, and droughts far in advance which speeds up disaster planning activities.
Deep Blue Globe provides Maritime Autonomous Navigation
Climate change fosters extreme weathers, like hurricanes, in the oceans more often than before. Therefore, seafarers rely on weather forecast elements such as sea state, surface winds, and tide levels before setting sail. To this end, startups combine advanced remote sensing and weather analytic systems into satellite-based weather mapping systems. This improves the efficiency of meteorological information collection and also enables near real-time weather monitoring.
German startup Deep Blue Globe develops POSEIDON, an AI-based maritime autonomous navigation solution. It uses sea route traffic and weather condition data to avoid extreme weather and danger zones. Another solution by the startup, ONEWAVE, provides 24/7 wavefront identification in the open sea using Copernicus satellite data along with existing tsunami early warning systems (TEWS). This allows seafarers to optimize their shipping routes as well as verify tsunami alerts in real-time.
Ex Machina builds a Hyperlocal Weather Network
Weather analytics and forecasts primarily find use in industries such as agriculture, maritime, and tourism, as well as disaster management. However, advancements in big data and analytics enable companies to correlate business performance with weather conditions. For example, data analytics assists retail stores to discover which products sell more during rainy days and predict their future demands based on weather conditions. Therefore, startups provide hyperlocal weather analytics solutions that allow businesses to streamline their products, services, and marketing strategies.
Ex Machina is a Greek startup that creates a community-powered hyperlocal weather network. The startup combines IoT and blockchain to develop weather stations, along with crypto miners, that allow users to share weather information and receive payment as WXM cryptocurrency. Further, it uses this data to offer hyperlocal weather forecasts that assist stakeholders in daily operations for agriculture, energy, sports, and maritime applications.
Atmosoar.io offers Weather Forecasting Models for Unmanned Aerial Vehicles (UAVs)
Aviation operations are sensitive to weather conditions and rely on real-time meteorological data for daily operations, which also includes long-range forecasts along with jet stream activity and expected turbulence which facilitates route planning. Likewise, weather conditions also affect low-altitude unmanned aerial vehicle operations for photography, site monitoring, and remote inspection. Therefore, startups offer accurate local and global weather forecasts to ensure the safety of employees and aircraft.
Hong Kong-based startup Atmosoar.io develops weather forecasting models for UAVs. The startup’s platform applies AI on the National Oceanic and Atmospheric Administration (NOAA) prognosis and terrain data to generate accurate weather datasets. Atmosoar.io’s software then integrates with existing mission planner tools and layers critical weather information over them. This, in effect, allows drone operators to visualize weather-related dangers and plan operations efficiently.
Proa provides Solar Energy Weather Intelligence
Renewable resources predominantly depend on weather conditions for power generation, including solar, wind, and wave energy systems. Such companies rely on historical meteorological data to choose the location to build power plants and plan their operations. Therefore, access to weather data and accurate weather predictions are necessary for profitable renewable energy generation.
Australian startup Proa develops Proa Forecasting System, a solar energy weather intelligence solution. Proa Forecasting System combines NWP and satellite cloud motion vectoring (CMV) forecasts with on-site Skycam CMV and real-time photovoltaic (PV) generation data. This approach also increases the overall reliability of the solar forecasts and improves redundancy, thereby providing real-time weather and generation forecasts for utility-scale solar plants and networks, along with single systems.
Discover more Startups
Startups such as the examples highlighted in this report focus on weather forecasts, geospatial intelligence, and space data. While all of these technologies play a major role in advancing weather analytics, they only represent the tip of the iceberg. To explore more weather analytics solutions, simply get in touch to let us look into your areas of interest. For a more general overview, you can download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.