Operational Intelligence for Energy and Utilities

Knowi connects directly to the databases most commonly used for SCADA and historian data — InfluxDB, TimescaleDB, PI Historian (via SQL), SQL Server, and Oracle. You can also pull data from OSIsoft PI Web API or any REST API-based IoT platform. No data extraction or staging required — just point Knowi at your historian and start building dashboards immediately.

Knowi supports dashboard refresh intervals down to seconds, making it suitable for real-time grid monitoring. Connect directly to your SCADA historian or time-series database, build visualizations for voltage, frequency, load, and asset status, and set up anomaly detection alerts that trigger when readings fall outside normal operating ranges. Dashboards can display data from multiple substations and generation assets on a single screen.

Yes. Knowi's built-in machine learning models can be trained on historical sensor data — vibration signatures, temperature trends, pressure readings, oil analysis results — from turbines, transformers, generators, and other critical assets. The models identify degradation patterns and flag equipment for maintenance before failures occur. Unlike standalone ML tools, the predictions live inside the same platform as your operational dashboards, so engineers see alerts in context.

Knowi's cross-source joins let you blend data from wind farm SCADA systems, solar inverter APIs, and conventional generation historians in a single query. Compare capacity factors, availability, curtailment rates, and cost-per-MWh across asset types and locations on one dashboard. You can also overlay weather data to correlate renewable output with wind speed and solar irradiance without building a separate data pipeline.

For multi-site energy operations, you need a tool that can connect to different data sources at each facility, compare performance across locations, and deliver dashboards to plant managers and field teams without requiring SQL skills. Knowi handles all three: it connects to 30+ data sources including SCADA historians, time-series databases, and ERP systems. Multi-tenant security ensures each site or business unit sees only its own data. Natural language search lets any team member explore data by typing questions in plain English.

Knowi includes built-in anomaly detection that can be applied to any time-series data stream — voltage, frequency, load, temperature, pressure. Configure threshold-based or ML-based detection rules, and Knowi will automatically flag unusual readings and send alerts via email, Slack, or webhook. This works on live data as dashboards refresh, so operations teams are notified of grid anomalies within seconds of occurrence.

Knowi supports scheduled report generation in PDF, CSV, or Excel format. You can build queries that match NERC reliability standards (CIP, TPL, FAC) and FERC filing categories, then schedule them for automatic delivery before filing deadlines. The same approach works for state PUC reports and environmental compliance filings. Once configured, reports regenerate with fresh data every cycle without manual data pulls.

The biggest difference is that Knowi does not require a data warehouse. Tableau and Power BI need you to first consolidate your SCADA, historian, meter, and ERP data into a warehouse like Snowflake or BigQuery before you can visualize it — a project that typically takes 3-6 months in energy environments with complex data. Knowi connects directly to InfluxDB, PI Historian, TimescaleDB, Oracle, and your operational systems, and joins across all of them in real time. It also includes built-in ML for predictive maintenance and anomaly detection, which Tableau and Power BI require separate tools for.

Yes. Knowi includes natural language search that lets anyone type a question like "show me turbine 3 vibration trend for the last 7 days" and get an instant chart. No SQL, no training, no IT tickets. Plant operators, field engineers, reliability managers, and executives can all self-serve. Role-based access controls ensure each user only sees the data for the assets and facilities they are authorized to view.