PartGenie
PartGenie is an AI-powered electronics component sourcing and hardware design platform built for hardware engineers, R&D teams, FAEs, and procurement professionals. It helps users search for electronic components using part numbers, specifications, or natural-language requirements, then quickly compare technical specifications, identify suitable alternatives, and make more informed sourcing and design decisions. PartGenie combines intelligent component search with a database of more than 22 million verified electronic parts from over 7,700 manufacturers. Its AI Component Finder turns requirements such as voltage, current, package, interface, and application needs into ranked component recommendations, reducing the time spent navigating traditional parametric search tools. The platform also includes Datasheet AI, which allows engineers to upload technical PDFs and ask questions about specifications, pinouts, packages, thermal limits, operating conditions, application circuits, and potential replacement risks. PartGenie can also analyze design files and component information to extract actionable technical data. For BOM and supply-chain workflows, PartGenie helps teams identify obsolete or end-of-life components, review lifecycle and sourcing risks, discover pin-compatible or functionally equivalent alternatives, and improve BOM health. These capabilities help engineering and procurement teams reduce manual research and respond faster to component availability or lifecycle changes. PartGenie also supports part comparison, image and file uploads, ERP/PLM integrations, and API access on its Pro plan. By bringing component discovery, datasheet analysis, alternative selection, BOM review, and hardware design assistance into one AI-assisted workflow, PartGenie helps teams move from technical requirements to component selection and sourcing more efficiently.
Who Is the Company Behind PartGenie?
- Seller: PartGenie
- Year Founded: 2025
- HQ Location: N/A
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LinkedIn® Page: www.linkedin.com
1 employees on LinkedIn®

