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Our suite of technology-enabled solutions brings data alive, helping you drive business model innovation, boost long-term resilience, and thrive in an uncertain future.

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In a rapidly changing economic and planetary landscape, place-based intelligence is becoming essential to business strategy. Organizations best positioned for the future are those that align strategic and financial decisions to navigate a world where risks and opportunities are increasingly spatial, systemic, and accelerating.

SpatiaFi is a cloud-based geospatial intelligence platform that integrates Earth data, energy insights, economic indicators, financial trends, and policy signals. By stacking these dimensions, SpatiaFi uncovers hidden interconnections – helping organizations identify risk, capture opportunity, and make data-driven decisions in a shifting global landscape.

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Why Spatial Finance?

Spatial finance connects the physical footprint of assets, infrastructure, and supply chains with planetary change and market dynamics – revealing the true exposure and value of business activities on the ground.

Framing decision-making in a spatial finance context can help you answer questions like:

1.

How do I perform planetary due diligence on investment portfolios that contain multiple asset classes globally?

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How will water stress or crop failure in sourcing regions impact my cost of goods and margin forecasts?

3.

Which trade routes in my supply chain are facing outage risks due to changing planetary conditions?

Who Benefits?

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Corporations looking to adapt to planetary risks and create competitive advantage from macro-level uncertainty

Finance and Investing

Commercial banking striving to unlock sustainable finance and better understand their lending portfolio 

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Investors and asset managers performing due diligence, informing portfolio decisions, or creating thematic funds

Our full suite of solutions

SpatiaFi is just one example of Earth Finance’s suite of insights-enabling technology solutions. Explore how else companies can leverage data and technology to capture new business value from planetary systems.

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Energy Transition ROI Calculator

Our Energy Transition ROI tool evaluates operational feasibility, financial viability, and energy and carbon reduction potential of onsite solar, battery energy storage systems (BESS), and electrification projects for commercial and industrial facilities.

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Credits & Incentives Navigator

Our dynamic dashboard scans hundreds of sources and data points for relevant climate and energy incentives at a federal, state and local level, enabling users to efficiently select incentives and boost ROI.

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CarbonRank®

CarbonRank® allows market participants to easily assess the quality of carbon credits. In addition to factors like permanence and additionality, the tool uses proprietary methodology to rate credits on accuracy.

BMO

BMO's Climate Institute was launched in March 2021 as part of their overarching Climate Ambition. The Institute applies scientific and analytics expertise to better understand the risks and opportunities of a changing planet. 

To aid this process, BMO used SpatiaFi to understand climate, extreme events, nature, and water insights within various areas and contexts of their organization including Reporting, Asset Management, Capital Markets, and Retail and Commercial Banking. By leveraging SpatiaFi’s capabilities, BMO was able to:

  • Analyze internal climate risks to their own properties and operations.
  • Conduct a REIT portfolio analysis across multiple physical climate risks.
  • Identify regional water scarcity risks to inform investment insights and strategic decision-making.
  • Evaluate climate-related risks to U.S. agriculture, such as droughts, wildfires, and extreme heat, providing insights into potential financial impacts across regions and crops.

Together, these insights helped BMO integrate spatial and environmental intelligence into climate strategy, risk management, and forward-looking investment decisions across the enterprise.

In the news:

Mitigating the Physical Impacts of Climate Change with Spatial Finance

Google Cloud Lightning Talk with Michael Torrance (BMO Chief Sustainability Officer)

How BMO is Connecting Climate Resilience to the World of Finance

Can U.S. REITs Take the Heat (Wind and Rain)

Water Scarcity: Closer to Home Than You Might Think

Counting the Cost of Climate Risks in U.S. Agriculture

SC Johnson

SC Johnson—a leading developer and manufacturer of pest control products, consumer packaged goods, and other professional products—has an outsized impact in reducing the transmission of mosquito-borne diseases. The company’s leading pest control brands, OFF!® wanted to develop a new publicly available, predictive model of when and where mosquito populations are emerging nationwide.

 As the planet warms and weather changes, OFF!® noticed month-to-month and year-to-year fluctuations in consumer habits at a regional level, due to changes in mosquito populations. Because of these rapid changes, it’s difficult for people to know when to protect themselves. The OFF!Cast Mosquito Forecast™, built using SpatiaFi, predicts mosquito outbreaks across the United States, helping communities protect themselves from both the nuisance of mosquitoes and the dangers of mosquito-borne diseases. It has been expanded to include Brazil, Rwanda, and Canada.

The OFF!Cast Mosquito Forecast is the result of multiple data sources coming together to provide consumers with an accurate view of mosquito activity. First, SpatiaFi extracts billions of individual weather data points. Then, a scientific algorithm co-developed by the SC Johnson Center for Insect Science and Family Health and SpatiaFi Earth sciences experts translated SpatiaFi weather forecast data into relevant mosquito forecasts. Finally, the weather forecast data and mosquito model were all put into production with SpatiaFi, processed daily, and delivered into internal systems (marketing, inventory, databases). Ultimately, these fed into SC Johnson’s website via a color-coded, seven-day forecast map and statistics of mosquito populations.

In the news: 

Mosquitos Get the Swat with New Forecasting Technology

SC Johnson Makes Mosquito Forecasts

Fortune 100 Retailer

Building off its scenario analysis disclosure obligations, a leading Fortune 100 retailer wanted to build the business case for adaptation and resilience initiatives across its operations and value chain. With a heavy reliance on agricultural commodities, the retailer needed place-based risk and opportunity insights to inform capital allocation, supplier engagement, and business resilience strategy. However, this required a deep, commodity-level analysis of its multi-sector value chain. 

The retailer partnered with Earth Finance to design a scenario analysis framework evaluating key impacts, risks, and opportunities. Combining asset-level risk data from SpatiaFi (including scenario-specific physical changes in water stress, droughts, storms, wildfires, floods, extreme cold, and key agricultural crop yields), transition risk drivers, and operational, sales, and sourcing data, the company gained granular, asset-level insights across its agricultural supply chains.

The analysis revealed that the company could face over $12B in annual commodity supply risk by 2050 and see 200+ facilities in high stress water regions. Based on the insights derived from this work, the company is making proactive value chain investments, creating operational resilience plans, and repositioning itself in the marketplace.

Robeco

Robeco, a global leader in sustainable investing, wanted to understand how geospatial data and AI can unlock scalable investment strategies that protect and support biodiversity. With biodiversity underpinning over half the world’s GDP, yet facing escalating threats from human activity, Robeco had identified an urgent need to direct capital toward nature-positive outcomes.

Robeco worked with SpatiaFi to develop a model to assess the biodiversity exposure risk of company-specific mining assets. SpatiaFi's Google Cloud-enabled system used AI and geospatial technology to extract mining locations from 100+ annual company reports, evaluate mining sites across a suite of biodiversity data, and estimate biodiversity exposure risk across over 1000 mines.

The assessment revealed that 81% of companies owned mines within important regions for biodiversity, and that over a third of mines using high risk methods like open-pit mining were in regions of high biodiversity importance. This work offers a blueprint for assessing biodiversity at scale and sets the foundation for Robeco to identify opportunities to shift their portfolio, bringing unprecedented transparency and accountability to biodiversity finance.

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