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Climora AI — Population exposure intelligence for Indian cities, delivered through the company's PEBA (Population Exposure Burden Analytics) framework: a single 0-100 intervention-comparability score built from four dimensions (exposure, population, vulnerability, time). The underlying fused layer combines satellite retrievals, ground monitor readings, mobility patterns and census or land-use demographics to produce ward- and corridor-level exposure heat maps, vulnerability cohorts (children, outdoor workers, elderly), sensitive-site flags, and monetised annual health-burden estimates in loca…
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Population exposure intelligence for Indian cities, delivered through the company's PEBA (Population Exposure Burden Analytics) framework: a single 0-100 intervention-comparability score built from four dimensions (exposure, population, vulnerability, time). The underlying fused layer combines satellite retrievals, ground monitor readings, mobility patterns and census or land-use demographics to produce ward- and corridor-level exposure heat maps, vulnerability cohorts (children, outdoor workers, elderly), sensitive-site flags, and monetised annual health-burden estimates in local currency. Delivered alongside route-level exposure guidance in a citizen app and board-ready disclosures covering Scope 3 mobility exposure. Licensing value is in the fused, aligned-to-regulation layer rather than raw sensor readings: it is already formatted for compliance frameworks and national clean-air programme reporting.
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Climora AI — Population exposure intelligence for Indian cities, delivered through the company's PEBA (Population Exposure Burden Analytics) framework: a single 0-100 intervention-comparability score built from four dimensions (exposure, population, vulnerability, time). The underlying fused layer combines satellite retrievals, ground monitor readings, mobility patterns and census or land-use demographics to produce ward- and corridor-level exposure heat maps, vulnerability cohorts (children, outdoor workers, elderly), sensitive-site flags, and monetised annual health-burden estimates in loca…
Climora AI offers (Alternative, Geospatial, ESG, Sentiment) — Order 10^6-10^8 derived records: India's clean-air programme covers hundreds of cities and ward-level units run to the hundreds per city, so a ward-by-hour-by-day exposure and burden panel for even a handful of cities yields tens of millions of scored observations per year, on top of the fused satellite, monitor and mobility inputs.
Training models that predict human exposure burden rather than ambient concentration (a target variable almost nowhere available at ward resolution); public health economic evaluation and cost-of-illness modelling for pollution; clean-air programme targeting and impact attribution for municipal and national budgets; intervention counterfactual analysis (freight reroutes, school buffers, low-emission zones); ESG and sustainability disclosure feeding corporate reporting frameworks including Scope 3 mobility exposure; climate-finance and adaptation-fund baselining; route-level healthy-routing features for mapping and mobility apps; insurance and public-health risk scoring for vulnerable-population exposure
Coverage spans APAC, UK, US; Application Software, Environmental Services; alternative, geospatial, ESG, sentiment; equities.
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