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Empowering Businesses With Competitive Advantage

Use AI, big data, and IoT to power smarter manufacturing—boost productivity, cut costs, improve quality, and enhance safety for a stronger competitive edge.

Background & Challenges

Digital factories face five key challenges: integrating IoT/AI/cloud, securing data and privacy, selecting the right infrastructure, collecting and analyzing data at scale, and building reliable connectivity without high wiring costs. These needs make IoT technologies essential—and that’s exactly our focus.

Engineers discussing industrial IoT deployment on a busy factory floor to solve connectivity challenges

Solution​

Cloud-connected factory floor with industrial machines monitored via edge computing for real-time oversight

InHand Networks offers a “cloud+edge” solution for digital factory. With support for multiple industrial protocols and powerful edge computing capabilities, the solution keeps track everything in the factory, enables real-time view of machine status and remote management.

Capabilities​

Device Inter connectivity

Use M2M devices to connect equipment to the production system for automated data sharing and streamlined production.

Data Collection and Analysis

Real-time equipment data monitoring to optimize processes, improve quality, and enable predictive maintenance.

Real-time Production Scheduling

Synergize production equipment data with production plans to agile and efficient scheduling, reducing costs and enhancing flexibility.

Intelligent Logistics Management

Real-time monitoring and control of vehicle information, enabling efficient logistics operations and cost reduction.

Remote Monitoring Capability

Intelligent Quality Management

Real-time data collection and analysis for optimized quality management, improving product quality and competitiveness.

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