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    Syntax Smart Factory & Autonomous Operations AI Suite

     Info
    Move from monitored to autonomous manufacturing operations. Combines self-learning ML quality control, real-time AI setpoint optimization, in-line defect detection, shopfloor decision support, paint-shop and injection-moulding process AI, AI-driven scheduling optimization, factory simulation with synthetic data, and a 360-degree IT+OT factory co-pilot. Includes machine setup and maintenance assistants for non-specialist operators. VP Manufacturing, plant managers, and operations excellence leads reduce scrap, stabilize quality, recover throughput, and make expert-system knowledge accessible to the broader workforce — mitigating skilled-worker shortages.

    Overview

    Syntax Smart Factory & Autonomous Operations AI Suite built on Amazon Bedrock moves manufacturing from monitored to autonomous. VP Manufacturing, plant managers, and operations excellence leaders reduce scrap, stabilize quality, and recover throughput — while making expert-system knowledge accessible to the broader workforce as skilled-worker shortages grow.

    Key Capabilities

    • Self-learning ML quality control
    • Real-time AI setpoint optimization
    • In-line defect detection across the production line
    • Shopfloor decision support for supervisors and operators
    • Paint-shop and injection-moulding process AI
    • AI-driven scheduling optimization
    • Factory simulation with synthetic data
    • 360-degree IT+OT factory co-pilot
    • Machine setup and maintenance assistants for non-specialist operators

    Customer Benefits

    • Quality stabilizes as ML models continuously learn
    • Setpoints adjust in real time to material and environmental variation
    • Defects caught in-line, not at final inspection or in the field
    • Shopfloor decisions backed by integrated IT+OT context
    • New and cross-trained operators perform like experienced ones
    • Process knowledge captured in tools, not just in retiring experts

    Outcomes

    • Reduced scrap and rework cost
    • Higher first-pass yield and stable quality KPIs
    • Recovered throughput on constrained lines
    • Faster operator ramp-up and reduced reliance on scarce specialists
    • Measurable improvement in OEE and process capability

    Who It's For

    VP Manufacturing, Plant Managers, Heads of Operations Excellence, Process Engineers, and Manufacturing IT/OT leaders at discrete and process manufacturers pursuing smart-factory strategies.

    Engagement Process

    Delivered as a managed AI suite with enterprise security, consolidated billing, and integration to MES, historian, quality, scheduling, and OT systems.

    Less than 8 weeks to Value-Realization

    1. Discovery – Define & Prioritize
    2. Integration and Configuration – Configure & Build
    3. Pilot and Validation – Deploy, Test and Validate
    4. Go-Live and Handover – Value Generation begins

    Highlights

    • Transition from monitored to fully autonomous manufacturing operations with a comprehensive AI suite spanning self-learning ML quality control, real-time AI setpoint optimization, in-line defect detection, and shopfloor decision support. The suite includes machine-specific setup and maintenance assistants designed for non-specialist operators, helping mitigate skilled-worker shortages by making expert-system knowledge accessible to the broader workforce.
    • Purpose-built AI modules address critical factory processes including paint-shop optimization, injection-moulding process control, AI-driven scheduling, and factory simulation with synthetic data. A 360-degree IT plus OT factory co-pilot unifies information technology and operational technology into a single decision layer, delivered as a managed AI suite with enterprise security and integration to MES, historian, quality, scheduling, and OT systems.
    • Designed for VP Manufacturing, plant managers, and operations excellence leads seeking to reduce scrap and rework costs, achieve higher first-pass yield and stable quality KPIs, recover throughput on constrained lines, accelerate operator ramp-up, and deliver measurable improvement in OEE and process capability across the production environment.

    Details

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    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

    Syntax provides 24x7 global support for all AI Suite services. Support covers issue resolution, troubleshooting, configuration questions, and assistance with integrations.

    Getting Started

    To begin an engagement, schedule a discovery call with Syntax to assess your data readiness, identify priority use cases, and receive a tailored implementation plan. Contact Syntax through AWS Marketplace or visit syntax.com to request a scoping session.

    Ongoing Managed Service Support

    As a managed AI suite, Syntax handles ongoing model management, data pipeline monitoring, and system optimization. Support covers questions about using the service, troubleshooting data integration issues, and requesting configuration changes.

    Contact and Assistance

    For support inquiries - including service issues, troubleshooting, and refund requests - reach out to Syntax's global support team at support@syntax.com , available around the clock.