Spericorn has been developing IoT solutions for years and has the expertise to build a complete data ecosystem that can support your business in day-to-day operations. We offer a wide range of services, from developing apps and products to advising on business models and strategic innovations.
We live in the modern era, where everyday objects are linked through the internet. The Internet of Things is a network of physical objects and devices connected to the internet, specifically created to collect and share information. Today, the IoT is experiencing rapid growth across industries. When integrated with AI, IoT helps to improve industries according to different strategies and data-driven decisions. IoT development services help industries stay ahead of the competition.
Setting up an internet connection enables the capture of valuable information via remote access and ecosystem control.
Access data and manage devices in real-time through the live objects platform.
Industrial monitoring is a new way to predict any undesirable changes at work.
Using IoT analytics, you can get actionable insights right away.
Automate for operational efficiency and increased uptime using IoT analytics.
Construct the foundations of data analytics.
Companies produce a deal of relevant data, but we identify which data needs to be prioritized.
Our IoT Process
Identify high-value business opportunities and create a strategy to achieve them.
Use the 5Vs (5Vs big data is a collection of data that combines data from different sources and describes them by five characteristics: volume, value, variety, velocity, and veracity and veracity) industry standard to detect Big Data quality issues and evaluate the significance of available data.
The trade-off between the costs and advantages of the IoT analytics solution can be envisioned by charting impact versus feasibility.
Create a solution for the business goal and determine how it will be integrated into existing processes.
Implement a PoC for business goals and learn how it can be integrated into processes.
Ensure the highest level of fidelity in IoT analytics by deploying the data infrastructure and refining analytics confidence