Operations directors, compliance officers, and CFOs at regional utilities use Meter to turn fragmented SCADA data, outage reports, and meter reads into decisions that happen before the morning briefing ends.
No commitment · Sample data from real utility operations · Sandbox resets daily
Zone 7 load approaching 94% capacity threshold
Meter's columnar query engine processes 11.4 million AMI reads per region in 4.2 seconds median response time — SAIDI calculations, load aggregations, and revenue roll-ups that used to take an analyst three days now run before you finish your coffee.
Meter's compliance pipeline ingests raw SCADA exports, validates against FERC 714 schema, auto-corrects 23 categories of common data anomalies, and produces a submission-ready filing. 97.3% accuracy on Q1 2026 — up from 94.1% the year before, with zero manual reformatting.
Meter's ML models surface load anomalies 6 hours ahead of threshold breach, and revenue forecasts update every 15 minutes from live meter data.
32 pages of benchmarking data from 14 regional utilities — SAIDI distributions, SCADA data quality rates, compliance filing timelines, and the five operational patterns that separate top-quartile utilities from the rest.
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The demo runs on real utility data from a mid-Atlantic regional operator. Load the sandbox, run a SAIDI query, pull a revenue trend, validate a compliance export — all before your next meeting.