ESPs containing Ecopia
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
Geospatial analytics platforms combine location data with demographic information to improve claims evaluation and assessment. By reducing the need for in-person inspections, they also help lower the cost of data acquisition. Use cases include automated property damage assessments and natural catastrophe loss estimation.
When was Ecopia founded?
Ecopia was founded in 2017.
Where is Ecopia's headquarters?
Ecopia's headquarters is located at 101 College St, Suite 440, Toronto.
What is Ecopia's latest funding round?
Ecopia's latest funding round is Grant - II.
How much did Ecopia raise?
Ecopia raised a total of $11.2M.
Who are the investors of Ecopia?
Investors of Ecopia include Sustainable Development Technology Canada, InsurTech NY, Plug and Play Accelerator, ODX Ventures and Harel Insurance Investments & Financial Services.
Who are Ecopia's competitors?
Competitors of Ecopia include Descartes Labs, Zesty.ai, Blackshark.ai, Agritask, ICEYE, Satellogic, Carto, Planet, TensorFlight, HazardHub and 15 more.
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ICEYE provides quick-response imagery from space with microsatellites equipped with imaging radar technology. The ICEYE instrument can see through clouds, obscuring weather, and in the dark-all conditions that limit camera-based services in situations where waiting for daylight and improved weather is not an option.
Orbital Insight leverages AI and computer vision to analyze petabytes of multi-source geospatial data, including satellite and synthetic aperture radar (SAR) imagery, location intelligence, and vessel traffic (AIS) data, to help its clients understand what is happening on and to the Earth. By monitoring the world’s geopolitical and economic activities with unprecedented timeliness, Orbital Insight provides the best possible information to inform your organization’s revenue, operations, and policies.
TensorFlight automatically analyzes satellite, aerial, drone, and street view imagery in order to automate manual in-person property inspections. TensorFlight can help property insurers with underwriting, reinsurance, risk, and claims.
Betterview provides predictive analytics that help insurance carriers to identify and score roof conditions and other property risks. The company analyzes manned aircraft and satellite imagery with the use of machine learning and computer vision. After, Betterview combines this data with other sources such as building permits, assessors’ data, and historical weather to determine the characteristics and condition of a roof to determine the risk of future losses.
SafeGraph maintains the ground truth dataset for human movement across the globe. The company provides high-quality location data products to help organizations make better decisions and improve lives.
Descartes Labs is a geospatial intelligence company that performs scientific analysis of geospatial, remote sensing, and diverse complementary data sets to enable sustainable sourcing best practices, commodity price forecasting, and efficient mineral exploration for CPG, Agriculture, and Mining companies. Its SaaS platform automates the analysis of geospatial imagery for our users, enabling planetary-scale analysis. The company also supports a diverse set of federal government efforts to curate, analyze, and provide unique insights from geospatial data. The firm was founded in 2014 and is based in Santa Fe, New Mexico.
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