Drive smarter decisions and optimize performance for success

Actionable insights for enhanced predictive maintenance and operational efficiency

Tavant’s Connect.AI leverages advanced analytics and machine learning techniques to enable businesses to predict machine failures, estimate remaining useful life, and provide early warning alerts for proactive maintenance. By analyzing historical data and identifying patterns, the system can detect anomalies and deviations from normal operating conditions, allowing for timely interventions. This capability not only minimizes downtime but also optimizes maintenance schedules and reduces costs.  Connect.AI empowers businesses to make data-driven decisions, optimize operational efficiency, and maximize asset performance. With its ability to turn data into valuable insights, Connect Analytics revolutionizes maintenance strategies and enhances overall productivity and profitability.

Features

Anomaly detection

Predict failures from predictive models to stop breakdowns and reduce their occurrences.

Visualize and explore

Aggregate corporate data and dig deeper to understand individual equipment performance.

Integration APIs and digital twin

Integrate APIs to connect with external systems and get a digital representation of your equipment and plants.

Failure prediction

Leverage ML models to predict failure probabilities for existing and replaced components, survival analysis, and cost analysis.

Data collection

Seamless integration with connectors to gather data from diverse devices, sensors, wearables, and connected devices for comprehensive insights.

AI alerts and uptime

Generate alerts for critical DTC events, outlier values from sensors, and service campaigns, and monitor uptime and downtime metrics for enhanced operational performance.

Asset utilization

Gain insights into the cost of ownership, remaining usable lifetime, mean time between failures (MTBF), mean time to repair (MTTR), and consumption metrics to optimize the utilization and performance of assets.

Sensor health

Monitor sensor network performance, identify malfunctioning sensors, and determine the root cause of failures, risk scores, and anomaly data points.

Benefits

Real-time insights

Enable businesses to make proactive and immediate decisions based on the most up-to-date information

Industry specific expertise

Enable standardization and exponentially reduce data engineering investments

Advanced predictive capabilities

Utilize ML models to forecast future trends, anomalies, or potential issues based on historical and real-time data

Wide choice AI models

Various AI models that seamlessly and securely run on your data and store insights in your subscription

APIs that offer flexibility

APIs to build or run solution analytics, reports, and dashboards