Overview
CloudPlexo is a global AWS Advanced Tier Partner helping organizations harness Artificial Intelligence to optimize IoT-driven operations. In industries like manufacturing, energy, logistics, and smart cities, IoT devices generate massive streams of data that are difficult to analyze manually. Without automation, organizations risk delayed responses, costly downtime, and missed opportunities for optimization. Our AI for IoT Operations service addresses these challenges by embedding AI models at the edge and in the cloud. These models detect anomalies in sensor data, predict equipment failures before they happen, and trigger automated workflows to maintain uptime and efficiency. By combining IoT telemetry with machine learning, organizations gain real-time visibility, predictive insights, and intelligent automation capabilities. As a global company, CloudPlexo delivers AI-powered IoT services across all industries and geographies. Our certified AWS consultants implement solutions using AWS IoT Core, Greengrass, and AI services, enabling organizations to modernize their operational technology while maintaining security, scalability, and compliance. From proof-of-concept to enterprise-wide rollout, CloudPlexo ensures your IoT environments are transformed with AI — giving you predictive maintenance, optimized resource usage, and operational intelligence at scale. Key Capabilities: Anomaly Detection: AI models analyze IoT sensor data in real-time to detect unusual patterns.
Predictive Maintenance: Forecast equipment failures and schedule proactive maintenance to avoid downtime.
Edge AI Enablement: Deploy lightweight ML models at the edge for faster, low-latency decision-making.
IoT Workflow Automation: Automate IoT-triggered workflows for alerts, maintenance, and safety responses.
Scalable Architecture: Build secure, compliant, and scalable IoT-AI solutions using AWS IoT services.
Highlights
- Real-time IoT data monitoring with AI-based anomaly detection
- Predictive maintenance to reduce downtime and optimize equipment lifecycle
- Intelligent automation of IoT workflows for smarter operations at scale
Details
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