Use today's data. Solve tomorrow's problems.

Engineering teams perform deep, ad hoc investigations on equipment failures, voltage anomalies, oscillation events, and operational incidents. Internal turnaround is typically 4 to 5 times faster than external vendor studies at a fraction of the cost.

Triggered reports compile voltage magnitudes, frequencies, severity tables, geographic maps, and reactive and active power state across every affected sensor. Response teams open the platform to actionable intelligence, not raw data.

Automated event reports identify lightning-induced disturbances across the entire PMU fleet. Response teams receive severity tables, affected-sensor maps, and waveform plots without a single manual query.

On-demand historical context, sensor health, and event correlation that field operations can pull up while they work an incident.

Spectral analysis of high-resolution PMU streams surfaces oscillation events at any frequency band. Spectrogram reports across every sensor expose causal patterns the operator never sees in real-time charts.

Continuous baselining against modeled and observed signal envelopes. Anomalous deviations are flagged with context across every co-located sensor, so the investigator opens a fully framed picture instead of a raw alert.

Subtle changes in current, voltage, or harmonic signature reveal aging fuses, contaminated switches, and loose jumpers long before they fail in service.

Ground impedance evaluation through ambient and event-triggered analysis. Detect compromised grounding that elevates equipment damage risk during faults.

Continuous monitoring of phase magnitudes and angles flags imbalance signatures that degrade asset life and operator visibility.

High-resolution measured response compared against simulated model output. Calibration of generator, IBR, and load model parameters from real disturbance events rather than commissioning-era data.

Calculated impedance from synchrophasor data informs dynamic line rating and unlocks transmission capacity that static ratings leave on the table.

Empirical evaluation of line impedance balance across long transmission runs. Identify lines where transposition assumptions do not hold, and quantify the operational impact.

Direct measurement of harmonic injection at planned interconnection points informs filter bank specification. Replaces conservative estimates with empirical sizing.

Use measured electrical relationships between meters and devices to validate topology. Surface mismatches between as-built records and as-operated reality, even across a million-meter distribution system.

Continuous performance monitoring of solar plants and other inverter-based resources surfaces dynamic behavior issues that precede unplanned outages. Proactive intervention replaces reactive forensics, and wide-area network effects can be modeled before the fleet trips together.

Live, onsite testing of STATCOM dynamic response confirms each unit will perform when called upon. As FACTS fleets grow, combinatorial interactions between units become a wide-area reliability concern that the platform is uniquely positioned to characterize.

Monitor GIC signatures across the transmission network during geomagnetic disturbances. Inform operator response and post-event transformer health assessment.

High-resolution measurement and analysis for regulated generator testing requirements, including governor response, AVR performance, and grid-disturbance ride-through.

Phase assignment of every endpoint from AMI data. Eliminates the manual surveys and bad assumptions that compromise distribution analysis and DER hosting capacity calculations.

Lower the cost of asking new questions. Train on full historical depth, score against live streams, and graduate successful analytics from prototype to scheduled production runs without rebuilding the pipeline.

Continuous evaluation of sensor health, drift, gaps, and signal integrity across every ingested stream. Trust scores follow each measurement into downstream models so analytics know what they can rely on.

Ship recurring engineering studies as scheduled, self-running jobs. Free senior staff from the analytics that do not need their judgment.