Better tools for a more volatile future.
Quantile LabsHI THERE. WE’RE QUANTILE LABS
With deep expertise across climate science, financial risk, and technology, we deliver intuitive risk assessment solutions.
Our core products democratize access to geospatial expertise and climate data, so that financial institutions, regulators, and corporations can leverage open data for climate risk assessment.
Through our custom solutions, we take a systems-based approach grounded in agent-based modeling, bridging the gap between geospatial analytics, complexity science, and risk assessment.
A more volatile future requires more robust tools.
TerraScen
Local desktop application for end-to-end physical climate risk scenario analysis using publicly available data. Comprehensive climate risk assessment without cloud dependencies or expensive data vendors.
Customized Solutions
Our team has experience working with some of Canada’s largest organizations to deliver robust risk assessment and stress testing solutions for climate risk.
Agent-based Modeling
We embed agent-based models in geospatial frameworks for scenario analysis and risk assessment, covering climate and geopolitical risk.
TerraTab
Revolutionary geospatial processing software that brings the power of complex spatial analysis to familiar spreadsheet interface.
About Us
Our team combines deep experience in academia, consulting, and technology to bridge climate science with financial risk assessment — helping organizations understand systemic risks and cascading impacts across supply chains and financial networks.
Quantile Labs was founded by Dr. Yara Mohajerani, an experienced climate risk expert. Yara obtained his PhD in Earth System Science from UC Irvine, and has had a track record of academic publications, climate-tech entrepreneurship, and financial risk consulting with some of Canada’s largest institutions.
Climate Risk
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Scenario Analysis
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Geospatial Analysis
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Climate Risk · Scenario Analysis · Geospatial Analysis ·
Agent modeling
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Risk Assessment
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Adaptive Learning
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Agent modeling . Risk Assessment · Adaptive Learning ·
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