Future-proofing investment decisions
Understand operational risk and viability
Developing a risk based operating strategy
Reducing guesswork on landscape vulnerability
We helped an international palm grower evaluate their conservation strategy over a 20 year + planning window. Using a deep learning workflow, we tested and ranked community drivers of forest loss, projected forest risk and identified opportunities for impact across the commodity landscape
Identifying landscape level ESG risk
Sizing up NDPE risk with AI
Deeper dilligence on supply chain governance
Red flags in mineral supply chains
Our remote diligence helped mining experts Britmindo assess the actual governance style at a 5,000Ha, low CV coal property supplying the Sumatran power grid. Without ‘boots on the ground’, we enabled analysis of mine development rates, potential sterilization and restoration liabilities due to communities between 2015-2019. Our proprietary hybrid detection methods, combining radar and optical satellite data streams, cut through persistent clouds, smoke and haze. Our Machine Learning procedure distinguished mining from vegetation, providing independent and reliable analysis of potential red flags.
Optimizing Asset Design
Analytics guiding toll road planning
We examined 40km toll alignment linking the Patimban deep sea port facility with a planned industrial city development. We provided the design team with design intelligence on surface waters between 1985-2018. Programming a classification algorithm – trained on 3 million satellite images – we identified drainage conditions across the entire alignment.
Health Checking Critical Assets
Identifying ground risks up front
Mosaic provided a mega industrial city development with a rapid pre-construction health check including screening a third party toll road intersecting the development site. Partnering with Terradue’s virtual machine platform, we processed a year of satellite radar imagery to baseline recent ground deformation patterns and potential subsidence hot spots on and off-site.
Supply chain intelligence
Enhancing traceability for palm oil
Mosaic developed a proprietary mill supply accounting method to enhance sourcing and engagement plans across priority agri-commodity landscapes. Using machine learning workflows, we analyzed hundreds of roads and tracks making up local transport networks, calculated travel routing times and independently estimated smallholder potential within mill supply sheds and at-risk forest and peat resources.
Understanding your Community’s Risk Story
Fire and Land conflict intelligence