Overview

Mavenir's Intelligent IoT Platform (IIoTP) is a comprehensive solution that leverages artificial intelligence (AI) to analyze data streams from Internet of Things (IoT) sensors, providing actionable insights through real-time alerts. Built on cloud-native frameworks, the platform integrates advancements in 5G, Edge Computing, and AI to support a wide range of IoT applications across various industries. Designed for ease of use, it offers an intuitive interface with preconfigured dashboards, enabling quick visualization and understanding of data. The platform supports rapid onboarding of diverse sensors, regardless of communication technology, and can be deployed on any cloud infrastructure to meet specific performance requirements. By processing data at the edge, it ensures low latency, with insights transmitted to the cloud for storage and long-term analysis. This end-to-end solution empowers enterprises to harness the full potential of IoT data, driving efficiency and innovation.

Features and Capabilities

• Ease of Use: Intuitive point-and-click user interface with preconfigured dashboards for quick data visualization.
• Rapid Sensor Onboarding: Supports quick integration of various sensors, regardless of communication technology (e.g., 5G, WiFi, LoRa, SigFox, Bluetooth, Zigbee).
• Low Latency Processing: Data processing at the edge ensures minimal delay, with insights sent to the cloud for storage and long-term analysis.
• Cloud-Native Deployment: Built on cloud-native frameworks, allowing deployment on any cloud infrastructure based on performance requirements.
• Unified Dashboards: Provides unified dashboards and integrates with other systems to realize end-to-end IoT use cases.
• Scalability and High Availability: Features containerized microservices that scale to ensure high availability.
• Actionable Insights: Applies AI to IoT data streams to generate alerts and insights for informed decision-making.
• Comprehensive Solution: Can be deployed independently or in conjunction with other AI applications on any cloud or on-premises hardware.