Yalantis IoT Accelerator: Speed up your IoT product’s time to market by 50%

The Yalantis IoT Accelerator is a domain-agnostic and easily scalable platform with a set of customizable features that can be easily applied to any industry. It’s focused on integrating with other systems, receiving and sending real-time data, and processing and analyzing it using g the Yalantis Predictable ML model. The IoT Accelerator can function as a standalone system for data processing, as a foundational component for integration or custom development of IoT-based applications, and as part of an existing solution that requires ready-to-integrate mechanisms for real-time data collection, processing, and analysis.

IoT products demand intricate device networks and robust solutions. Additionally, they must be capable of remotely managing large IoT networks as well as collecting, processing, and analyzing vast amounts of real-time data. IoT-powered platforms also need to provide interfaces and additional functionality customized to meet specific business requirements. Companies specializing in delivering such solutions often encounter the following challenges:

• Interoperability issues within the IoT ecosystem preventing remote monitoring of all devices and their software components from different manufacturers and sources
• Lack of a scalable system that can be used across multiple industries and tailored to specific business needs, leading to expensive modifications
• Absence of a reliable data protection system capable of withstanding severe cybersecurity attacks and data theft
• Inability to analyze and visualize resource use based on real-time data collected from IoT devices
• Inability to enhance productivity, reduce utility costs, properly allocate budget resources, and efficiently monitor and manage equipment conditions

The feature set of the Yalantis IoT Accelerator allows businesses to:

• Effortlessly gather real-time data from various sources. The platform can collect both small and large amounts of data generated by IoT devices in real time. Additionally, it features built-in processing centers that enable instant data processing and transmission directly to the cloud for further analysis. Data is collected from sources such as sensors, applications, and any other data-producing systems. End users can monitor internal data processing in real time through appropriate dashboards, allowing them to make timely decisions based on newly acquired insights.
• Store and transmit data. The adaptive architecture enables collecting and storing large amounts of data, which can be aggregated and transformed into any convenient format.
• Predict and forecast resource utilization. To provide a complex solution for real-time data management, we also integrated the IoT Accelerator with our predictable machine learning model for advanced forecasting. Resource use trends are available in the form of a separate report on the dashboard. 
• Utilize dashboards with advanced data visualization and analytics. As part of the Yalantis IoT Accelerator, end users are provided with a BI toolset for data visualization. They can work with charts and a custom dashboard that displays real-time data streams and uses the the Yalantis Predictable ML model to identify patterns, anomalies, trends, and seasonal changes, as well as to discover cost-saving opportunities.
• Generate custom reports on request and by schedule. To ensure full transparency and convenient work with data and insights, the platform allows users to share, save, present, and export data.