<p>Case <strong>Studies</strong></p>

Case Studies

An AI remote monitoring solution for hard infrastructure

Cybersecurity
Ayyeka has developed multiple layers of security and authentication to enable a communication session with its technology. Fundamental cyber-security considerations for telemetry device manufacturers or service providers include encryption, authorization, remote firmware update capabilities as well as physical access restrictions - all designed so that only those who have been granted permission can reach your device from afar!
Bluetooth
Ayyeka has developed multiple security layers and authentication to enable a communication session with the Wavelet device over Bluetooth Via an embedded Bluetooth Low-Energy (BLE) module in the Wavelet & an iOS or Android device using the AyyekaGo mobile application.
Routing Security
Data is transmitted by Wavelets to the Ayyeka Private Cloud services hosted on AWS in multiple, physically separated and isolated Availability Zones which are connected with low latency, high throughput, and highly redundant networking.
Wireless Communication
The Wavelet communicates via cellular modem over industry-standard, encrypted, and secured protocols. Communication from the Wavelet to the server is in a binary, proprietary format.
API & Agents
Ayyeka employs two industry-standard API methods (REST API and SOAP API) for data retrieval from the Ayyeka Private Cloud. Ayyeka provides three data retrieval Agents, which include DNP3, OPC-UA, and CSV, which are traditionally used for SCADA integration.
# of customers
350
Billion of data points
4
Thousand of critical alerts
15 000
Artificial intelligence
From IoT data generation to AI pattern recognition and prediction, the physical edge device uses machine learning powers to create the next generation of hard infrastructure, pipes, roads, transmission lines, and bridges. Deploying AI-embedded edge devices to pipes, bridges, transmission lines, and roads to give hard infrastructure new abilities and an extended lifespan. That's the digital revolution Ayyeka is currently spearheading.
Predicting extreme events
From IoT data generation to AI pattern recognition and prediction, the physical edge device uses machine learning powers to create the next generation of hard infrastructure, pipes, roads, transmission lines, and bridges.
Extended lifespan
Using a physical edge device embedded with machine learning software in the field gives the hard infrastructure upon which we all rely the abilities to meet present and future needs.
Generating Data
Instead of taking data generated by IoT devices in the field, transferring that data to be processed and analyzed on the cloud, then gleaning insights that improve function - all this computing is modified to occur at the edge - on the hard infrastructure that operates these critical services.
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