The MIS (McKenzie Intelligence Services) Global Events Observer (GEO) solution aims to provide comprehensive risk management and disaster response capabilities for the insurance industry and humanitarian sectors. 

Identifying real time damage to property and transportation infrastructure, it tracks catastrophe timelines and to deliver user specific reports for Exposure, Claims Management and Claims Reinsurance users.

FishermanFrank, led by Frank Fleming, is committed to promoting responsible and sustainable fishing practices in Ireland. The company participates in Fishery Improvement Projects supported by Bord Iascaigh Mhara, focusing on enhancing the sustainability of fish stocks and improving the quality of landed catch. FishermanFrank supplies Haddock, Whiting, and Breaded Whiting sourced from vessels participating in these sustainability initiatives, aiming to provide consumers with high-quality, traceable seafood while supporting the long-term viability of the Irish fishing industry.

Development of a risk-based monitoring service for the national implementation of EU Regulation (EU) 2023/1115 for deforestation-free products.

BioDiversity Environmental Reporting.

Automated satellite-based bridge monitoring.
 

Satellite data for the provision of early, area-wide and continuous information on crop yield estimates for agricultural statistics and policy advice.

Satellite based algae monitoring system for German authorities.

Application allowing the monitoring of visitors in attractions and venues open to the public. The purpose of the tool is to improve the planning in terms of visitor distribution and flow, staff allocation, as well as safety and security. The application targets, in particular, the implementation of social distancing measures during the COVID-19 pandemic in the UK.

The Verified Life Story project delivers proof to retail clients of the life story including origin, feed and medications (if any) consumed of the pig meat that they sell. The location data of pig ear tags can be verified using a blockchain and the data is
made accessible to the end consumers via QR codes on the packaging. The system is piloted on a farm in the East coast of Ireland.

VIDA analyses a set of EO information layers derived from both Sentinel-1 and -2 satellite imagery, publicly available EO layers and household survey data in combination with machine learning-based algorithms to estimate demographic, economic and growth indicators of the village level to enable microgrids site identification. It reduces the need to conduct timeconsuming and expensive on-ground surveys to locate potential sites. The tool can be tailored to any village in the world as well as to different microgrid technologies such as solar, biomass or hydro powered microgrids.