Ayyeka’s comprehensive solution is the only tool necessary to bring hard infrastructure to a new digital era. The triple threat of ageing infrastructure, increased operational stress, and extensive compliance reporting challenges the hard infrastructure responsible for providing critical services. Digitally enhancing critical infrastructure with the ability to autonomously recognize patterns and detect events brings predictive maintenance to critical infrastructure. Ayyeka provides an end-to-end solution with the hardware, software, and machine learning intelligence needed to create resilience in any infrastructure or critical utility. Simple to launch, the plug-and-play edge solution, compatible with any sensor to deliver all essential data for each asset in any industry. Solving tomorrow’s problems, today.

Ayyeka's Story

– Bringing Resilience to critical infrastructure, this is the mission of Ayyeka.

Infrastructure is responsible for providing critical services, such as water, energy, and transportation to people. But today’s infrastructure is in crisis. That is why we must rethink traditional methods for strengthening infrastructure.

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. It’s new technology that overcomes the challenges of limited power in battery-operated edge devices and the limitations against using cloud computing because of cybersecurity concerns.

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. Infrastructure 4.0 – bringing machine learning abilities to hard infrastructure. Deploying AI-embedded edge devices to pipes, bridges, transmission lines, and roads to give this hard infrastructure new abilities and an extended lifespan. That’s the digital revolution Ayyeka is currently spearheading.

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