Ranial offers a federated IOT platform that introduces incremental learning and exchange of knowledge across the participating edge nodes and central management hub in real-time. The runtime is designed to adapt the changing environmental conditions to improve operational intelligence over time. The unique hardware and software solutions are designed to recognize local events, improves context-aware operations to expedite the notification/ actuator functions across distributed IOT infrastructure.
The goal of the platform is to combines the IOT infrastructure with embedded AI that minimizes the latency in sensing, processing, and acting on diverse physical events within an operational environment. The platform is designed to support utilities, industry 4.0 usecases where each connected edge node has capabilities to apply AI that recognizes events, detects anomaly and take need-based actions.
The proposed platform introduces layered intelligence and extensible core modules to gain real-t...
Ranial offers a federated IOT platform that introduces incremental learning and exchange of knowledge across the participating edge nodes and central management hub in real-time. The runtime is designed to adapt the changing environmental conditions to improve operational intelligence over time. The unique hardware and software solutions are designed to recognize local events, improves context-aware operations to expedite the notification/ actuator functions across distributed IOT infrastructure.
The goal of the platform is to combines the IOT infrastructure with embedded AI that minimizes the latency in sensing, processing, and acting on diverse physical events within an operational environment. The platform is designed to support utilities, industry 4.0 usecases where each connected edge node has capabilities to apply AI that recognizes events, detects anomaly and take need-based actions.
The proposed platform introduces layered intelligence and extensible core modules to gain real-time predictive and preventive insights. The designed solution lowers the response time significantly and minimizes the risk of single point of failure of any distributed IOT system engaged in monitoring mission critical operations.

The core innovation of Edge Analytics appliances (edge controllers) provides an advanced interface to a wide spread legacy equipment and control systems with high performing intuitive sensor and actuator capabilities.

The intelligent platform and hardware are customized to meet critical needs of our clients and partners. The offering promises rapid time-to-value in terms of realizing ROI with speed, scalability, intelligence and interoperability.

Our invention and differentiators : ranial.com/platforms-and-solutions/
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Employees

Gnanavel Madasamy
Admin
Gnanavel Madasamy Principal Director A competent multi-talented, flexible, cross functional professional with around 20 years of experience
Prasenjit Bhadra
Admin
Prasenjit Bhadra CEO An entrepreneur and technology evangelist driving innovation in M2M/ IoT & Business IT transformation using emerging technologies
Subhajit Saha
Admin
Subhajit Saha Performed quantitative research and assessment of classification models that could perform a better anomaly detection in IOT streaming data