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Scanflow is an AI-enabled visual data capture platform that helps organizations ensure quality, traceability, and operational accuracy across physical workflows. Our platform enables businesses to capture and interpret visual information from barcodes, QR codes, serial numbers, labels, markings, and physical assets using everyday devices and industrial systems. Powered by advanced computer vision, Scanflow supports inspection, defect detection, alignment verification, and end-to-end traceability across factories, warehouses, field operations, and supply chains. Scanflow is built for real-world industrial conditions handling curved surfaces, inconsistent prints, motion, dust, glare, and high-throughput environments. This allows teams to reduce manual effort, improve consistency, and create reliable visual data flows from capture to downstream systems. Our solutions are trusted across manufacturing, automotive, logistics, infrastructure, solar energy, IT asset disposition, and fleet operations where accurate visual data is critical at every stage. From tire sidewall and DOT compliance to solar panel serial number capture and DCR traceability, from VIN recognition across chassis, windshield plates, and engine bays to IT hardware identification, grading, and chain-of-custody logging for ITAD workflows Scanflow ensures every asset is identified, verified, and traceable from first capture to final record. Scanflow is fully GDPR and CCPA compliant, ensuring visual data is handled securely and responsibly at scale.

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Karthic Chandran is the CTO of Scanflow.

9 people are employed at Scanflow.

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