Our dedicated support team ensures your predictive analytics platform operates seamlessly. We offer multiple contact channels and guarantee a response within 2 hours for critical issues, with a 99.5% uptime SLA. Explore our FAQ for instant solutions.
Clear answers about T.N.D. Analytics, our data processing capabilities, and implementation for heavy industry.
T.N.D. Analytics is engineered to handle massive, high-velocity datasets from industrial sensors, SCADA systems, ERP, and MES. We process structured time-series data for predictive modeling and anomaly detection.
Our algorithms establish a baseline of normal operational patterns. Real-time data is compared against this model, flagging deviations in vibration, temperature, pressure, or throughput that indicate potential equipment failure or process inefficiency.
A full-scale deployment typically takes 8-12 weeks. This includes data pipeline integration, model training on your historical data, validation, and dashboard configuration for your operational teams.
All data is encrypted in transit and at rest. We operate on a strict principle of data sovereignty—your plant data never leaves your designated processing environment and is not used for training other clients' models.
Yes. The platform uses standardized APIs and industrial communication protocols (OPC UA, MQTT) to connect with most legacy manufacturing execution and control systems without disrupting ongoing operations.
Clients typically see a 12-18% improvement in overall equipment effectiveness (OEE) within the first year, primarily through reduced unplanned downtime, optimized maintenance schedules, and better capacity utilization.
Key clarifications regarding data processing, model outputs, and platform capabilities to ensure precise interpretation.