ARS Data

Predictive Maintenance

Predict the future health of equipment or an asset. Estimate Remaining Useful Life (RUL). Anticipate failure and performance degradation risks
Condition Monitoring

Provide information about the equipment health versus the expected baselines
Sensor data processing

Process different types of sensor data: vibration, temperature, pressure, flow, level, proximity, etc
Smart HVAC

Minimise energy consumption footprint of the building. Highlight and eliminate inefficiencies
Machine Learning

Detect anomalies and recognize patterns in the raw data. Address problems which cannot be solved efficiently with rule-based approach
Embedded Development

Low-level programming for sensors, PLCs, gateways, and other IoT devices. Development of drivers and firmware
Data Processing

Scalable solutions to establish data flow from field to the cloud. Real-time and batch processing. ETL pipelines. Data ingestion, storage and processing strategies.
Visualizations and Dashboards

Custom reporting and data exploration tools