Panoramic Power

Panoramic Power pioneered self-powered wireless current sensors that clip directly onto a conductor and harvest their own energy from the magnetic field around it. There are no batteries to replace, no wiring to pull, and no panel shutdown required — an electrician can typically instrument an entire distribution board during a single maintenance window, which is why the platform is so widely used in occupied retail, healthcare, and multi-tenant office buildings where downtime is expensive or simply not permitted.

Each sensor reports circuit-level consumption to a local bridge, which forwards data to the PowerRadar cloud. Because measurement happens per circuit rather than per building, you see exactly which loads — rooftop units, refrigeration racks, compressors, kitchen equipment, EV chargers — drive demand peaks and off-hours waste. That granularity turns a single utility bill into an itemized picture of the building and makes anomaly detection, equipment fault alerts, and load disaggregation practical without a full building automation retrofit.

Emergent Metering supplies Panoramic Power as the fastest route to circuit-level visibility across a portfolio of sites. Because every location receives identical hardware — the same sensors, the same bridge — a chain operator can replicate one instrumentation standard across dozens or hundreds of buildings and compare them on equal terms. Sensors, bridges, and PowerRadar subscriptions are available individually or as a per-site kit sized to the panel.

The sensors ship with PowerRadar, Panoramic Power's own cloud dashboard, which covers consumption, demand, and circuit-level reporting. Where a building needs the layer above that — equipment-health alerts, failure prediction, or tenant invoices generated automatically from interval data — the bridge also exposes Modbus, so the same circuit data can feed a facility intelligence platform rather than only its native dashboard. OptimizeOS is built for that: it reads the meters a building already has and adds fault detection, power-quality visibility, and automated tenant billing on top of them. OptimizeOS is operated by a separate company under common ownership with Emergent Metering, and its software subscription is contracted through Emergent Energy Solutions; Emergent Metering supplies the hardware.

The line is a ladder rather than a single product. PAN-10 clips onto branch circuits up to 63 A and fits conductors to 7 mm; PAN-12 covers feeders to 225 A on conductors to 18.8 mm. Above that, PAN-14 and PAN-42 work from a standard 5 A-output current transformer, so the measurable range is set by whatever CT the service already has. All four report on the same 10-second interval, which is what makes load-signature work — spotting a compressor short-cycling or a rooftop unit running overnight — practical rather than theoretical.

It is worth being precise about accuracy, because it decides which model belongs on a given circuit. PAN-10 and PAN-12 measure current only — not voltage, not power factor — so power is estimated from fixed voltage and power-factor values supplied during deployment. The manufacturer's published guidance is that kWh accuracy in an environment with stable voltage and power factor should be expected to land between 2% and 8%, and that the current sensors do not provide submetering accuracy. That is well suited to anomaly detection, off-hours waste, load disaggregation and measurement-and-verification work, and it is not suited to a tenant invoice that has to survive a dispute. For billing, the PAN-42 is a true power meter rated to ANSI C12.1 Class 1 when paired with a class 0.2 or better CT; where a revenue-grade socket or panel meter is the requirement instead, that is the Leviton / Obvius line.

The Gen 4+ Bridge is the collection point. It receives sensor data on 915 MHz, holds readings locally when the network drops, and backhauls over Ethernet, Wi-Fi — including WPA2-Enterprise — or optional LTE, so a site with locked-down IT can still report. Two KY pulse inputs on the bridge let existing dry-contact water and gas meters ride the same device instead of needing a gateway of their own. It also exposes Modbus TCP, and when data is read that way the sensor calibration values are stored in the bridge itself rather than in the cloud, which is what makes an on-premise or third-party platform integration workable.