01 / Event invisibility  
  
**Wildfire Ignition**  
  
from the distribution edge  
  
$30B  
  
PG&E 2017–2018 fire liability (bankruptcy)  
  
Ignition precursors live in waveform-level behavior faster than traditional systems retain. Insurers, regulators, and plaintiffs want data utilities never kept.  
  
  
  
02 / Frequency invisibility  
  
**IBR Oscillations**  
  
solar, wind, batteries, STATCOMs  
  
90%+  
  
of new U.S. capacity in 2025 was inverter-based  
  
Oscillations at frequencies SCADA cannot resolve. A European grid collapsed in ninety seconds from interactions of this class.  
  
  
  
03 / Behavior invisibility  
  
**Data Centers**  
  
hyperscale load as grid actor  
  
$100B+  
  
projected PJM ratepayer cost through 2033  
  
On-site generation, fast-switching power electronics, and AI-driven demand curves are reshaping interconnection studies and stressing legacy models.  
  
  
  
04 / Time invisibility  
  
**Asset Failure**  
  
aging in the dark  
  
4 yrs  
  
lead time for a new large power transformer  
  
Seventy percent of large transformers in service are over twenty-five years old. They are being run harder, hotter, and longer than they were designed for.  
  
## Why It's Invisible  
  
The grid operates across six orders of magnitude. _Visibility does not._  
The grid happens across hours, seconds, milliseconds, microseconds. SCADA, the instrument utilities operate by, resolves only the slowest.  
  
  
  
Grid phenomena by native timescale, plotted against the resolution each class of instrument can capture. The shaded region is the visibility gap.

SCADA 1 Hz  
PMU 30 Hz

## The unlock  
  
The sensors are _already there._  
The instruments that resolve every threat above have been deployed across the U.S. bulk power system for over a decade. PMUs, digital fault recorders, traveling-wave locators, power quality monitors, inverter telemetry. The visibility is not missing. The data layer is.  
  
500,000+  
PMUs deployed across the U.S. bulk power system  
  
>99.99%  
of high-resolution sensor data is never analyzed  
  
$0  
additional capex required to make it visible  
  
You have already paid for the visibility _you cannot yet use._  
  
## The missing layer  
  
The grid is already instrumented. _It needs a data layer._  
  
1  
**Preserve the signal.** Keep high-fidelity telemetry at its native resolution instead of sampling away the evidence.  
  
2  
**Contextualize the system.** Connect time-series measurements to assets, topology, events, metadata, and external context.  
  
3  
**Make it usable.** Give engineers the query, analysis, and application layer needed to turn deployed sensors into operational visibility.  
  
**PredictiveGrid is the data layer the modern grid was missing.** It turns sensors utilities already deployed into queryable, contextualized visibility. Not another dashboard. Not another silo. A foundation that makes the next generation of grid problems addressable.  
  
>10M  
measurements per second ingested per node  
  
>5 PB  
time-series data under management  
  
<50ms  
query latency at full resolution  
  
## You solved every problem you could see.  
  
PingThings PredictiveGrid turns the high-resolution sensor data utilities already deployed into queryable, contextualized visibility. Not another dashboard. A foundation.