From data analysis to business intelligence
The power of connectivity and analytics
Thanks to our experience in connectivity, we are able to develop unique technological innovation projects with which we aim to create intelligent environments, uniting connectivity with data analysis and business intelligence.
In the industrial field, Ikusi relies on all the possibilities offered by the IoT to collect critical data, process information in real time, identify patterns to monitor, automate, streamline and improve manufacturing processes, guaranteeing the availability of assets, quality of the product and improving productive capacity. Not to mention the deployment of a cybersecurity layer to prevent external threats from affecting industrial operations and processes
Ikusi has developed an IoT solution to create an advanced meter infrastructure (AMI) that uses the IOT-FND (Field Network Director) system as its centerpiece. This controls a radio frequency mesh network, to monitor measurement systems through the IP network.
This smart meter solution offers control, provisioning and security services to endpoints located on the network. To achieve this, it uses specific servers and software applications to collect, store and process meter data.
This IoT solution applied to meters ensures the reduction of electrical energy losses, as well as optimizing processes and reading tasks, fault detection, cut-off and reconnection.
Reduction of electricity, water or gas losses.
Optimization of meter reading tasks, fault detection, disconnection and reconnection.
Security management through digital certificates.
Capturing high volumes of data on high-speed transport is a challenge.
To manage this, Ikusi proposes backhaul wireless link platforms for mission-critical video, voice and data applications, designed to provide a simple, industrial-grade connection to create a reliable point-to-point wireless link with minimal installation time and maximum reliability.
Web-based interface to configure, monitor and troubleshoot the network easily.
MPLS transmission protocol with intelligent QoS.
Supports PoE and multiple IP devices
Digitization is making steady progress in industrial operations, and this means that companies are exposed to possible cybersecurity flaws. For digitization to continue to progress, industrial environments have to deploy advanced solutions that ensure the security of IT equipment and the teams responsible for operational processes.
At Ikusi, we propose a tool designed alongside and for the industrial sector, which provides three fundamental benefits: visibility of what is happening at all times in industrial networks, security in traffic flows and vulnerability analysis. The single objective is to guarantee that the industrial production process is not interrupted and that it is carried out in the best conditions.
At Ikusi, we have extensive experience in IoT environments, backed by awards such as the Cisco IoT Industry Partner of the Year.
Scalability and ease of deployment
100% visibility and integrated threat intelligence
Real-time information on industrial processes
To carry out digitization projects, Ikusi proposes the use of IIoT (Industrial Internet of Things) platforms, which facilitate the design of architecture and the development of a wide range of applications aimed at meeting the needs of the industrial sector, such as reducing the cost of managing and maintaining industrial assets, improving processes and workflows, improving production and product design through Digital Twins and expanding its portfolio by creating new services associated with the product.
The choice of a platform specifically selected for the client and their needs, allows us to reduce project times significantly, which ultimately means that the client has the application in production in less time.
Data capture from IIoT devices
Modules that facilitate integration with other business applications such as ERPs (Enterprise Resource Planning), CRMs (Customer Relationship Management), warehouse managers, etc.
Modules that allow the application of machine learning techniques to detect anomalies, predict problems, improve product design and/or the manufacturing process.