Ranial-Bhadra-Prasenjit
Ranial Systems CEO Prasenjit Bhadra Ranial Systems

Ranial Systems is a software-as-a-service (SaaS) company that is known as a leading Internet of things (IoT) solution provider. It merges cognitive AI and edge computing runtime, and this convergence is what inaugurates a new era of digital transformation and promises to change the industry forever.

The New York-based IoT company has patented a cloud-independent cognitive IoT runtime, an edge native platform that integrates software and hardware in a unique way to improve real-time process automation, automated monitoring, control activity, and operational intelligence.

The system also reduces downtime, the probabilities of catastrophic failures, the incremental costs of scaling network and cloud infrastructure, as well as the performance bottlenecks of normal IoT networks.

The platform, which is branded as CognitIoT, is meant to be an industry-specific IoT solution. It works by emulating the human nervous system’s anatomical layers and coordination of the neuromotor system, something that can be related to Ranial CEO’s interest in biology.

His name is Prasenjit Bhadra, and his company’s invention has revolutionized the edge computing market by translating information into actionable insight as well as automating complex functions.

According to CEO and founder Prasenjit Bhadra, Ranial’s team “has led major digital transformation programs and co-innovation initiatives in RFID, Enterprise Mobility, Sensors and Actuators in the last two decades.” And his vision is to elevate IoT systems from data collection engines to informed real-time decision support systems.

Areas of application

Ranial wants to achieve this by accelerating cognitive IoT solutions that address challenges emerging from climate change, such as sustainability, the mass adoption of electric vehicles, renewable energy, cybersecurity threats, intelligent manufacturing, and more. But, overall, Ranial is addressing the strategic imperatives of green innovation and sustainability.

In fact, its new IoT platform can enhance the management of renewable energy plants, including distribution grid monitoring and other automated operations, for the continuous production and delivery of clean energy in a smart way.

Renewable energy is key to combating climate change, and energy-intensive industries should be the main implementors of cleaner options. In 2019, industrial emissions were responsible for almost a quarter (23%) of greenhouse gas emissions in the U.S.

But, given that climate change is already happening, Prasenjit Bhadra expects that, someday soon, the platform will be able to monitor weather conditions very closely and provide alerts in a timely manner to prevent casualties during natural disasters.

In the manufacturing industry, the CognitIoT system can help regulate energy utilization to increase efficiency while managing the supply chain intelligently. It is capable of monitoring productivity in real-time and detecting issues beforehand to prevent downtime and the losses associated with it.

The healthcare system can also benefit from the intelligent surveillance that Bhadra’s firm proposes. CognitIoT could be useful to monitor patients remotely by allowing the exchange of data between patients and caregivers. Caregivers could use that data for diagnostics, the prevention of health-related issues, and research purposes.

It is also ideal for geriatric care and people with chronic diseases. Overall, it could make healthcare easier and cheaper.

Protective intelligence

Naturally, all of these things are already making use of edge nodes to imitate human thinking and conscious acts. But human behavior can’t be accurately replicated if the IoT system doesn’t prioritize reasoning patterns instead of historical data.

It must be able to comprehend predictive and prescriptive trends, develop context awareness, and adapt to the ever-changing cyber-physical environment in an unsupervised learning manner. This is what cognitive models are designed to do and the reason why Bhadra has turned over to them.

“The systematic process of gaining operational maturity and responsive automation can’t be achieved through re-training the models over time,” Bhadra explains. Instead, Prasenjit Bhadra aims at a new paradigm based on real-time pattern recognition and anomaly detection in the context of a situation-aware “protective intelligence.”

Protective intelligence doesn’t only increase the efficiency of the processes but also the security of the industries’ critical infrastructures. For example, cyberattacks targeting said infrastructures could be detected at the point of action and stopped through preventive actions in real-time, without the need for human intervention.

This is not possible with prebuilt structured intelligence. In Bhadra’s vision, replacing it is the only way of overcoming the limitations of normal IoT systems that eventually inhibit the scaling of autonomous operations.

Process automation, which is essential for productivity enhancement in all industries, can’t go to the next level following predetermined rules.

And for Bhadra, IoT cognitive systems — like Ranial’s CognitIoT — are the best way to break them.