The world is gradually moving towards Industry 4.0, Smart Cities, Connected Cars, and Smart Homes.
The desire to create, connect, collect and compute are helping develop technology to support enhanced connectivity.
Pegus Digital can help you build high-value IoT solutions through:
Project analysis & consultancy
There are different approaches to IoT solution development, which makes it challenging to choose the one best suited to your project. Not to worry, our team will provide you with expert advice about all technical and business possibilities, leaving out the guesswork.
Creating IoT devices
The Internet of Things (IoT) is a network of sensors, processors, gateways, and software embedded in vehicles, home appliances, and other smart devices that allow them to connect and exchange data. Each part is uniquely identifiable through its embedded computing system and can inter-operate within the existing internet infrastructure.
Connecting IoT devices
For IoT to work, all its components need to interact with each other to share information and produce actionable insights. We offer complete IoT solutions that allow businesses to create, connect, collect, and compute, including:
While decades of consolidation have resulted in market stability and established standards for PAN and LAN solutions, the potential of IoT has attracted numerous duplicate, overlapping wireless solutions. Some solutions are derivatives of existing standards, such as 4G/5G, Bluetooth, Wi-Fi, LTE, Zigbee, and Z-Wave. Others are new entrants, like LoRa, Sigfox, Thread, and LTE IoT. Pegus Digital has vast experience in implementing all these connectivity solutions, following this approach:
The platforms we use include Amazon Web Services IoT, Azure IoT hub, and Google Cloud. Our solutions are built deploying optimal scalability, security, and connectivity standards that allow us to solve a variety of business, hardware, and network challenges.
Computing data
Big data generated by devices over time is the fuel that powers IoT. Computing, processing, and analyzing it requires both edge processing and storage. Through machine-learning algorithms, this data gets predictive, and thus useful. There are different ways we can exploit big data to gain profitable business insights, including:
