Parabole’s TRAIN is the enterprise-ready causal AI platform enabling enterprises to create causal models that solve pressing optimization problems in the Financial services, Manufactoring, Energy, Media and Entertainment, Retail, CPG and Sustainability sectors.
“The causal model anchors the notions of science, knowledge, and data in a concrete and meaningful setting” - Judea Pearl
Parabole and Innovation Factory (if), offer a cognitive AI platform that optimally solves real enterprise problems even when there is very limited or no clean data. By going beyond correlation-based predictive models and without being impaired by data limitations, our cognitive AI builds cause-and-effect relationships and prescribes actions by delivering insights to the decision-makers when they need it most.
Business Problems we solve with our partners:
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Monitoring of regulatory compliance and control effectiveness
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Automated data redaction
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Automated view of suppliers and contracts enabling real time vendor due-diligence
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Sustainability analytics for impact investments and ESG investment portfolio
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ESG optimization for electro-mobility supply chain
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ESG digital taxonomy development and data harmonization
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Automated Risk and regulatory control process
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Raw material procurement optimization
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Supply chain performance optimization
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Energy management optimization
Sample Results Delivered:
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ESG digital taxonomy – enabled harmonization of multiple ESG taxonomies into a central common taxonomy that enabled centralized analysis of ESG performance of the investment portfolio constituents
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Raw material procurement optimization - reduced 15 percent of the annual raw material procurement for 1.2 B annual raw material procurement for a 20B process manufacturing enterprise
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Supply chain performance optimization - improved b2b touch-less order throughput by 10X and reduced OTIF (ON Time In Full) penalties by ~30 percent for a 20B CPG enterprise