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Mative: AI and IoT for digital transition
Mative, a combination of autoMATion and automotIVE, was created to manage corporate IoT projects in various sectors, with a particular focus on telematics in the fields of Smart Industry, Smart Mobility, Smart Farming, and Smart City. Additionally, it provides a architecture capable of managing Artificial Intelligence models applicable to data collected from interconnected devices.
It offers a range of features that allow flexible management of IoT devices via the cloud, orchestrate end-to-end data processing, and analyze the telemetry of interconnected assets.
Solutions
Agriculture
For farmers and growers, IoT technology has already proven to be an excellent way to increase yield and reduce operational costs through automation. This technology is also considered a cornerstone of smart agriculture, which is a data-driven and highly automated approach to soil cultivation and livestock farming. Using a wide range of IoT-enabled devices, such as soil moisture sensors, remote-controlled sprinklers, or RFID ear tags, agricultural operators can achieve more by doing less. With Mative, it is possible to integrate and manage Smart Farming solutions, thanks to its architecture and its versatile and feature-rich IoT platform, Mative Cloud.
Construction
Technological innovation is a key lever for improving the efficiency and sustainability of construction companies. In construction, IoT sensors can monitor various parameters such as machinery energy consumption, environmental conditions of construction sites, equipment maintenance, and worker safety. In addition to IoT services, Mative offers an architecture that manages and distributes Artificial Intelligence models capable of revolutionizing construction practices by introducing alerts, notifications, and statistics on advanced predictive maintenance of construction machinery, optimizing operations to define the optimal use of machinery to reduce energy consumption or adapt operator driving behaviors to minimize wear and improve efficiency, studying weather conditions to prevent delays or material waste, interfacing with vibration sensors or other monitoring devices.
Logistics
The logistics and transportation industry, driven by a growing demand for smarter supply chain management solutions, has been a driving force behind the rise of IoT. Compared to many other IoT applications, 'smart' logistics operations show a faster ROI and significantly reduce management complexities for numerous companies in various sectors. To optimize operations, IoT technology offers a range of practical approaches to take supply chain management to new levels. The IoT platform Mative Cloud offers a quick and reliable way to implement smart logistics applications: logistics providers can achieve high levels of operational efficiency in fleet management, load integrity monitoring, and automated warehouse operations.
Smart City
The rise of Smart Cities marks a crucial moment in the evolution of IoT, as different technologies merge into large-scale, multi-layered solutions benefiting entire nations. Mative, as an independent enterprise IoT platform, plays a fundamental role in this transformation. Smart city solutions powered by Mative's IoT platform, Mative Cloud, place specific emphasis on the efficient use of road infrastructure, public service facilities, and smart buildings. Integrated with Mative Cloud, smart meters, sensors, and device gateways enable real-time monitoring of local and city-wide electricity distribution, water consumption, gas emissions, traffic load, parking availability, and other vital city parameters.
Smart Industry
In the modern industrial era, an IIoT platform can prevent failures before they occur. In most cases, a properly configured analysis of data streams from equipment can signal likely future malfunctions, allowing appropriate preventive maintenance actions to be taken before the malfunction occurs. For the industry, Mative offers Mative Cloud, a widely used enterprise IoT platform as an industrial IoT (IIoT) solution, functioning as a cloud application manager for connected industrial production plants. A key feature of Mative is its independence from hardware and transport protocols, allowing easy integration with a wide range of sensors, controllers, machines, and device gateways, supporting any existing industrial infrastructure. The Mative Cloud platform offers a complete and integrated IIoT solution: our integrated technology allows us to manage ModBus, OPC UA, Can Open protocols, and integrations with existing PLC plants.
Smart Mobility
We support our partners in creating innovative mobility projects that simplify people's movements, optimize vehicle usage, and adapt to the different types of services required. Thanks to our key-less technology, which digitizes vehicle keys, we enable a variety of shared mobility services aimed at companies, public mobility operators, and short- and long-term rental companies. Our software solutions enable efficient fleet management, reducing costs and traffic, lowering CO2 emissions, and optimizing resource use, always considering changing individual needs. Our innovative technology can also be extended to bike-sharing. Bicycles, scooters, and e-scooters represent a growing response to the demand for contemporary and sustainable mobility.
Vehicle Telematics
As one of the major adopters of IoT technology, the automotive industry has numerous use cases that can benefit from a powerful IoT platform like Mative Cloud. Some of the main advantages of IoT include reducing maintenance costs and preventing the risk of accidents or theft for your connected cars. In addition to tracking location and telemetric data, you can monitor vehicle performance, health, and safety. This can be a great addition to a fleet management solution or function as a standalone system with its own benefits. Real-time vehicle telemetric tracking allows companies to create customized fleet management solutions. Mative ensures the successful implementation of end-to-end solutions for fleet management and vehicle telematics, addressing every part of a typical use case scenario.