Risk-based investment diligence
$30 million of avoided capital allocation
Mosaic provided a regional conglomerate decision analysis for its coking coal project. We tested operational vulnerability of its barge logistics plan. We stress-tested total barging day scenarios by backcasting the cumulative effects of deforestation and near-term climate change over mine life. Using deep learning procedures and asset scale climate modelling, we estimated the cumulative hydrographic impacts on saling days and the viability of the proposed investment.
Securing RSPO certification through nature based solutions
Avoided $50 million in restoration liabilities
We provided an international palm grower with an evidence-based conservation planning and investment strategy. We stress tested scenarios to estimate the effects of climate change fire weather and population pressures on HCV forest resources. We translated the results with stakeholders securing buy-in for long term forest conservation.
Identifying landscape level ESG risk
Sizing up actual deforestation risk with deep learning
Seeing through clouds to identify supply chain risk
Undeclared red flags in mineral supply chains
Our remote diligence helped mining experts Britmindo assess actual governance at a low GAR 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 community activities over a 5 year period. Our hybrid detection methods, combining SAR radar and optical satellite data streams, cut through persistent clouds, smoke and haze to provide independent analysis of potential red flag issues.
Optimizing Asset Design
Guiding toll road planning from space
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 rapidly identified optimal drainage across the entire alignment.
Health Checking Critical Assets
Identifying ground and structural movement 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. Partnering with Terradue’s AI platform, we extracted and tested millions of ground surface movement points from SAR satelite radar imagery to identify areas of potential subsidence and structural movement 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 a palm commodity landscape with at-risk forest and peat resources. Using machine learning workflows, we analyzed hundreds of roads and tracks making up local transport networks, calculated travel routing times to improve the client’s infromation on the actual supply shed risk.
Understanding the Community Risk Story
Assembling risk intelligence on project communities