Swift for Manufacturing

Accelerate Your Journey to Industry 4.0
with No-Code + AI + IoT

Swift for Manufacturing is the unified operations platform designed to orchestrate your entire production lifecycle. By converging Operational Technology (OT) and Information Technology (IT), Swift eliminates data silos, enables real-time decision-making, and transforms your factory into a truly smart, connected enterprise.

Swift for Manufacturing is the unified operations platform designed to orchestrate your entire production lifecycle. By converging Operational Technology (OT) and Information Technology (IT), Swift eliminates data silos, enables real-time decision-making, and transforms your factory into a truly smart, connected enterprise.

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The Digital Manufacturing Imperative

Problem

The modern manufacturing landscape is defined by volatility, complexity, and the relentless pressure to deliver hyper-personalized products with uncompromising quality. Manufacturers must transition from reactive, siloed operations to a proactive, integrated digital ecosystem to remain competitive.

Solution

Stop reacting to failures and start predicting performance. 

Swift for Manufacturing delivers the visibility and control needed to drive unprecedented levels of efficiency, quality, and agility across your global manufacturing footprint.

Core Components of Swift for Manufacturing
Swift's modular architecture ensures seamless integration with both modern IoT devices and legacy systems, providing a single source of truth for all production data.

Connected Equipment & Asset Performance Management (APM)

Connect every machine, sensor, and control system (PLC, SCADA) to a central data backbone.

  • Real-Time Data Acquisition: Collect high-frequency machine data (vibration, temperature, power) to monitor equipment health continuously.

  • Predictive Maintenance: Utilize AI-driven algorithms to forecast component failure, moving maintenance from scheduled downtime to data-driven intervention.

  • Overall Equipment Effectiveness (OEE) Monitoring: Get immediate, transparent insight into performance, availability, and quality across every line.

Intelligent Quality Control

Shift from manual inspection to automated, closed-loop quality assurance.

  • Computer Vision & AI Inspection: Leverage advanced machine learning for real-time defect detection at high speeds, reducing human error.

  • Process Parameter Traceability: Link every final product to its complete production history—including machine settings, batch data, and operator actions—ensuring end-to-end traceability for compliance and quality audits.

  • Cost of Quality Reduction: Automatically identify process drifts that lead to rework or scrap before significant material is wasted.

Digital Twin & Operational Visibility

Create a virtual replica of your physical factory floor and supply chain to simulate and optimize.

  • Virtual Commissioning: Test process changes and new layouts in a safe, virtual environment before deployment.

  • Control Tower Dashboards: Provide leaders with real-time, consolidated views of key performance indicators (KPIs) across multiple plants and geographies.

  • Augmented Reality (AR) Guidance: Deliver work instructions, schematics, and sensor data overlays directly to technicians on the shop floor via AR headsets or tablets, speeding up training and maintenance.

Supply Chain & Logistics Integration

Extend visibility beyond the factory walls for synchronized production and fulfillment.

  • Demand Sensing and Forecasting: Integrate customer order data with production capacity for highly accurate scheduling (APS).

  • Inbound Material Tracking: Use smart sensors and RFID to ensure just-in-time material flow and prevent costly production delays due to shortages.

  • Cybersecurity & Resilience: Built-in industrial cybersecurity protocols to protect critical OT systems from threats.


Transformative Results with Swift

Operational Efficiency

Increase throughput and maximize asset utilization by providing clear, actionable OEE metrics.

Expected Impact
15–25% Increase in OEE

Downtime Reduction

Shift from reactive breakdown fixes to predictive maintenance based on machine learning models.

Expected Impact
30–50% Reduction in Unplanned Downtime

Quality
& Yield

Automate inspection and control process parameters precisely to reduce defects and rework.

Expected Impact
12–20% Decrease in Cost of Quality

Legacy
Integration

Connect decades-old machinery into the modern data environment without requiring full system replacement.

Expected Impact
100% Data Visibility from Legacy Assets

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Let's transform your manufacturing operations