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    Generative AI-Powered Predictive Maintenance & Quality Control

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    Sold by: Dedicatted 
    For manufacturers and industrial operators whose equipment fails without warning and whose quality problems are found at the end of the line. Dedicatted builds predictive maintenance and process quality monitoring for industrial IoT estates on AWS: sensor and PLC data collected into AWS IoT SiteWise, failure prediction and anomaly models on Amazon SageMaker AI, and a generative AI maintenance assistant on Amazon Bedrock that explains each alert and suggests next steps.

    Overview

    Who this is for

    Discrete and process manufacturers, utilities and industrial equipment operators in Canada, the United States and Europe with sensor or PLC data from critical assets and a maintenance team that works mostly from schedules. The buyer is the VP Operations, Head of Maintenance or plant digital lead.

    The problem

    Maintenance runs on calendars or breakdowns. Equipment fails between inspections, spare parts and crews are not where they are needed, and process drift that causes defects shows up only in end-of-line checks. Sensor data exists but sits in historians that nobody analyzes.

    What we deliver

    Data foundation. Sensor and PLC data from your assets is collected into AWS IoT SiteWise through gateways at the plant, with asset models for the equipment and process lines in scope.

    Prediction and anomaly models. Failure prediction and anomaly detection models are trained on Amazon SageMaker AI from your history and maintenance records, and process quality signals are watched for drift that leads to defects.

    Maintenance assistant. An assistant on Amazon Bedrock explains each alert in plain language, pulls related work orders and manuals, and suggests next steps for technicians.

    Rollout. A pilot on agreed assets with acceptance criteria set at kickoff, then extension to further lines, with models retrained on a schedule.

    For camera-based visual inspection, see In-House Vision Pipeline on Amazon SageMaker by Dedicatted.

    AWS services integrated

    AWS IoT SiteWise, AWS IoT Greengrass, Amazon SageMaker AI, Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon S3, AWS Lambda, Amazon Quick Sight and Amazon CloudWatch.

    Outcomes

    • Failures are predicted from sensor data, so maintenance moves ahead of breakdowns.
    • Process drift is flagged before it becomes a quality defect.
    • Technicians get plain-language explanations and next steps with each alert.
    • Pilot acceptance criteria are agreed at kickoff and measured on your assets.

    Evidence

    Dedicatted holds the AWS AI Services Competency and the AWS Service Delivery validations for AWS IoT Core and AWS IoT Greengrass.

    Where we deliver

    Dedicatted is an AWS Premier Tier Services Partner and AWS Managed Service Provider headquartered in Toronto and Montreal, Canada. It is the first Canadian partner to hold both AWS AI Competencies (Generative AI and Agentic AI) and the first and only Canadian AWS Partner to hold the AWS Digital Sovereignty Services Competency. We deliver across Canada, the United States and Europe, in English and French, and support Canadian data residency in the AWS Canada (Central) and Canada West (Calgary) Regions.

    AWS infrastructure charges

    AWS bills you for IoT SiteWise and Greengrass usage, SageMaker AI training and endpoints, Amazon Bedrock, S3, Lambda, Quick Sight and CloudWatch. We work through IAM roles you create.

    Highlights

    • Predictive maintenance from the sensor data you already have: sensor and PLC data collected into AWS IoT SiteWise, with failure prediction and anomaly detection models trained on Amazon SageMaker AI from your history and maintenance records.
    • Process quality watched before defects appear, and a maintenance assistant on Amazon Bedrock that explains each alert in plain language, pulls related work orders and manuals and suggests next steps.
    • From an AWS Premier Tier Services Partner with the AWS AI Services Competency and the AWS IoT Core and AWS IoT Greengrass Service Delivery validations.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Contact

    Before you buy

    • A scoping call confirms the assets, sensors, data sources and maintenance systems in scope and the pilot's acceptance criteria, followed by a written scope and a private offer through AWS Marketplace.

    During delivery

    • A named engagement lead and a shared channel with the engineers doing the work, in English or French.

    Response time

    • Support requests receive a response within two business days.

    After handover

    • Asset models, data pipelines, model code and the assistant configuration stay with your team.