IoT platform development (device connectivity, data ingestion, real-time dashboards), industrial IoT for manufacturing (predictive maintenance, OEE monitoring, energy management), IoT-cloud integration on AWS IoT Core and Azure IoT Hub, digital twin development, edge computing deployments using NVIDIA Jetson and AWS Greengrass, and IoT data pipeline development feeding analytics and AI model training.

Kernshell builds end-to-end pipelines from IoT sensor data to AI models — ingesting sensor streams via Kafka or Azure Event Hubs, processing and storing in data lakehouses (Databricks, Snowflake), training ML models for predictive maintenance, anomaly detection, and demand forecasting on historical sensor data. Real-time inference runs at the edge for low-latency requirements or via […]

Manufacturing (OEE monitoring, predictive maintenance, quality sensor integration with ETQ Reliance — clients Jabil and Hitachi Energy), energy (grid monitoring, renewable energy asset management), logistics (fleet tracking, cold chain monitoring, last-mile visibility), healthcare (medical device connectivity, patient monitoring integrations), and smart building management (energy optimisation, occupancy analytics).