DIGIMONDO IoT Solutions

DIGIMONDO IoT Solutions

DIGIMONDO offers innovative IoT solutions for Facility Management, streamlining data analysis and enhancing operational efficiency.

Location: Germany
Software Type: Web App
Categories:

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Description

DIGIMONDO GmbH specializes in IoT software solutions, aiming to simplify the complexities of the Internet of Things (IoT) for businesses. Established in 2016, the company provides consulting and has developed its niotix platform, which automates the analysis of data from diverse sensors. The flexibility of DIGIMONDO's solutions allows organizations to utilize IoT technology without requiring extensive technical expertise.
The niotix platform is device- and manufacturer-independent, focusing on ease of use. A key feature is the Digital Twin, which creates digital replicas of physical objects, enabling effective combination and analysis of sensor data. DIGIMONDO employs LoRaWAN technology, a low-power wireless networking protocol designed for long-range communication in IoT applications.
Their solutions are particularly beneficial for Facility Management and the real estate sector, addressing challenges such as energy efficiency, real-time data analysis, and predictive maintenance. This allows facility managers to monitor building conditions, access control, climate systems, and resource usage efficiently.
DIGIMONDO’s offerings have been developed to provide quick and measurable results, thereby enhancing operational efficiency in various sectors, including Smart City initiatives and Industry 4.0.

Features

niotix Platform

A comprehensive IoT software platform that automates data analysis from various sensors, facilitating ease of use and flexibility.

Digital Twin

Creates digital replicas of physical objects to aid in the combination and analysis of sensor data for improved decision-making.

LoRaWAN Technology

Utilizes low-power wireless networking to ensure long-range communication for IoT applications.

Facility Management Solutions

Offers tools for real-time monitoring and analysis of building conditions to enhance operational efficiency.

Predictive Maintenance

Helps in anticipating equipment failures by monitoring resource usage and system performance.

Tags

IoTSmart CitiesFacility ManagementDigital TwinLoRaWANIndustry 4.0

Documentation & Support

  • Installation
  • Documentation
  • Support
  • Updates
  • Online Support