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Wizerr AI

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Attribute-level functional-equivalence graph for electronic components, built as the working object of an AI BOM optimizer. Three layers: (1) a technical-attribute corpus extracted from thousands of datasheets, structured per part across the fine-tuned categories the platform names — power management, discretes, high-speed interfaces, analog and mixed-signal, capacitors, logic and linear; (2) the derived equivalence layer, which is the actual trove — pairs and clusters of parts judged functionally equivalent on technical attributes rather than on manufacturer part number or published cross-reference tables, with an explainability engine that emits the reasoning behind each alternate recommendation plus a confidence score per recommendation; (3) live commercial state attached to each part — price, price breaks, stock, lead time and MOQ across distributors. Fourth, as a behavioural byproduct, the platform tracks which parts engineers search and compare, which is a record of live design-stage sourcing intent.

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