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GAES (Global Ai Energy Solutions) — Weekly structured chemical supply-chain disruption ledger: classified events (geopolitical, force_majeure, shipping, tariff, regulatory) tagged by severity tier, region and affected chemical categories, with price-pressure readings, per-chemical numeric risk index scores, alternative-sourcing resolutions and dated third-party citations.. Micro-scale but structurally unique: Houston-based AI procurement startup (500+ chemicals catalogued, 12 verified suppliers across 4 countries, US + Mexico live) whose intelligence layer is the more differentiated asset. Us…
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Weekly structured chemical supply-chain disruption ledger: classified events (geopolitical, force_majeure, shipping, tariff, regulatory) tagged by severity tier, region and affected chemical categories, with price-pressure readings, per-chemical numeric risk index scores, alternative-sourcing resolutions and dated third-party citations.
Scale Est. 500-1From 2 yearsCoverage Energy · Materials
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GAES (Global Ai Energy Solutions) — Weekly structured chemical supply-chain disruption ledger: classified events (geopolitical, force_majeure, shipping, tariff, regulatory) tagged by severity tier, region and affected chemical categories, with price-pressure readings, per-chemical numeric risk index scores, alternative-sourcing resolutions and dated third-party citations.. Micro-scale but structurally unique: Houston-based AI procurement startup (500+ chemicals catalogued, 12 verified suppliers across 4 countries, US + Mexico live) whose intelligence layer is the more differentiated asset. Us…
Gaesglobal offers (Alternative, Supply Chain, Sentiment) — Est. 500-1,500 classified disruption events over the archive (8 active disruptions per weekly edition x multi-year cadence), each carrying 3-8 chemical tags and 2-4 dated citations; underlied by a 500+ SKU chemical catalogue and 12 verified suppliers.
Alternative-data signal for energy-equity and commodities desks (utilisation, catalyst and process-chemical demand nowcasts); event-classification training corpus for geopolitical and supply-chain NLP models; procurement lead-time and substitution modelling; backtestable disruption event labels for refining-margin models.
The data is with 2 years of history.
Coverage spans US, UK; Oil & Gas Refining and Marketing, Diversified Chemicals; alternative, supply_chain, sentiment; equities, commodities.
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