Kapital

Kapital produces predictive datasets that uncover the missing links in global supply chains. Our datasets provide total clarity of world trade, allowing businesses to optimise supply chains, form strategic partnerships, boost profits and minimise risks. Kapitals seven-stage process produces two core datasets and provides unrivalled insight into wor... ld trade. Both datasets can be consumed as they are by businesses or used by our consultants to deliver deep analysis into different areas of the market. The Hayek Dataset contains masses of world trade data that is cleaned, standardised and enriched, before Kapitals unique set of algorithms process and converge it into a single, all-encompassing database. The Mises Dataset details transactions from each intermediary node of a products global supply chain. It is produced using advanced machine learning algorithms that fill gaps in existing world trade records. Our datasets can be further enriched to provide businesses with strategic insight into world trade including anomaly detection, risk analysis and supply chain optimisation. The genealogy of a product is inexplicable. No one can truly trace the full sequence of transactions leading from a silica mine in Russia to an iPhone sold in California. No one, that is, but Kapital. Using proprietary machine learning algorithms, Kapital connects the intermediary nodes of supply chains, providing an accurate and transparent view of world trade. Supply chains are riddled with intermediaries that operate and report in silos. This means that no matter how simple the product, even the most abundant dataset will not contain its full journey from the mine to the point of sale. Kapital overcomes the gaps in trade data by ingesting and converging terabytes of data, including cargo manifests and world trade statistics, and applying advanced machine learning algorithms to infer missing information. Kapital traces the paths leading to the production of goods, paints an accurate picture of world trade, identifies unstable supply ...Read More