Ocean Aero has created the world’s first and only environmentally powered Autonomous Underwater and Surface Vehicle (AUSV), the TRITON, that collects data both above and below the ocean’s surface and relays it to you from anywhere, at anytime. TRITON is fully wind and solar powered, eliminating the use of environment-polluting fuel and is fully autonomous, eliminating the need for on-board or nearby crews. This autonomy allows for extended deployment and broad scope mission execution in remote ocean domains for longer periods of time.

Autonomous uncrewed surface vehicle that can collect data for a year without fuel.

Global conservation technology community of 7,000 people in 120 countries discussing 1,300 topics like biologging, camera traps, and machine learning.

Using artificial intelligence and the power of big data to provide scientists an unequaled view into the habits and habitats of wildlife, data that is critical for crafting smart conservation policies. It takes “animal selfies” through motion-detector cameras — known as camera traps — to snap thousands of photos a day of animals rarely seen by human eyes. As the largest camera-trap database in the world, Wildlife Insights has the potential to transform wildlife conservation by providing reliable, frequent and up-to-date information on myriad species that are largely invisible to science and conservation practitioners.

An open-source web application to monitor global forests in near real-time. GFW is an initiative of the World Resources Institute, with partners including Google, USAID, the University of Maryland, Esri, Vizzuality and many other academic, non-profit, public, and private organizations.

First global analytical tool to provide an assessment of criminal markets, categories of criminal actors, and resilience capacity for 193 UN member states.

Utilises stable isotope methods validated by researchers from WWF Germany and works with partners from the University of Regensburg who analyse radioactive isotopes to determine the age of ivory. Its website includes a free and readily accessible reference database of over 700 samples of ivory from African and Asian elephant range states, and was handed over to the international CITES community at COP 17 in 2016.

A machine learning-based dashboard that captures shipping invoices (electronic or paper) and conducts analytics on cargo shipment data (ex. price, weight, country of origin, taxonomic identity) for inspectors to easily identify questionable shipments. It is being tested with Canadian government agencies. It was designed to automatically analyse shipment paperwork and identify questionable shipments. Once anomalies have been identified and shipments are being inspected, officers will be supported in their decision making with an integrated species identification application.

Supply chain tracking using blockchain.

200 earth imaging satellites, the largest in history, imaging the whole Earth land mass daily.