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Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Platform.AI Spinal Implant Detection & Surveillance Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Medtronic Healthcare 50000 $19.8B United States Platform.AI Platform.AI Spinal Implant Detection & Surveillance Medical Imaging 2021 n/a In 2021, Medtronic deployed Platform.AI Spinal Implant Detection & Surveillance as a Medical Imaging capability in North America to automate identification of spinal implants from X ray images for clinical imaging and medical device support. The implementation targeted clinical imaging operations and device support teams, positioning Platform.AI Spinal Implant Detection & Surveillance as an image analytics layer within diagnostic workflows. The deployment combined an implant identification module with surveillance and case review workflows, using image preprocessing, machine learning classification, and structured reporting to flag implant types and confidence levels. Configuration focused on automated detection pipelines and reviewer escalation queues to reduce manual identification effort while preserving clinician review in the loop. Integrations were implemented into existing clinical imaging workflows and medical device support processes, enabling handoff of flagged cases to clinical teams and device support specialists across North America. Operational scope included imaging departments and device support functions, with deployment patterns consistent with phased rollouts across regional clinical sites. Governance emphasized clinical validation and ongoing monitoring of detection performance, with operational controls for case adjudication and audit logging. The project delivered a stated reduction in manual identification effort and an estimated recurring enterprise value of $2M, as reported by the Platform.AI project description.
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