Voltaware turns the smart meter readings you already collect into appliance-level insights your customers can act on. Send interval readings, describe the home once, and receive monthly disaggregation, solar analytics, scores and ready-made reports to power your apps, bills and engagement programmes.
Monthly consumption split across heating, cooking, washing, fridge, EV, air conditioning, lighting & electronics, standby and more.
Daily and monthly production, self-consumption, grid import and export for every PV home.
EV consumption identified from the meter alone, with every charging session reported.
Declare home storage so results account for it, with data-quality flags when a battery is detected.
A 1–100 score per home and per appliance, benchmarked against similar homes, with personalised tips.
One list per home of the appliances it has, each marked as inferred from the meter or declared by the owner, alongside its solar and battery setup.
One document with day-by-day usage, breakdown, insights, solar and carbon footprint.
Publish 15, 30 or 60-minute meter data over secure MQTT. Up to 3 months of history is processed automatically.
Add property, appliance, solar, battery and location details via our HTTPS API to sharpen accuracy.
Pull monthly results as JSON and build them into your own apps, bills and reports.
The Iris Dashboard. Integration runs machine to machine. Alongside it, Iris gives your team a visual view of the integration: data coverage, data quality, processing runs and your integration specs.
Readings go in over MQTT; results come back as JSON from a simple REST API. Samples use illustrative data, and the charts show it the way the Iris Dashboard does.
Publish one JSON message per meter per day, at 15, 30 or 60-minute resolution. Solar homes send import and export side by side. History of up to three months is processed automatically, and re-sending a reading is always safe.
mqtt · your dedicated topicQoS 2 · TLS{ "deviceId": "SM_0001", "dataFrequencyMins": 30, "date": "2026-08-01", "electricReadings": [ { "timestampUtcEpochSecs": 1785542400, "importKwh": 0.18, "exportKwh": 0 }, … { "timestampUtcEpochSecs": 1785585600, "importKwh": 0.03, "exportKwh": 0.53 }, … ] }
Every month, each home's consumption is split across appliance groups such as heating, EV, cooking and refrigeration, with data-quality notes so you know how far to trust each result.
/sensors/SM_0001/sm/disag/month?year=2026&month=8200 OK{ "total_consumption": 380500.0, "missing_timestamps_percentage": 1.4, "appliances": [ { "appliance_key": "heating", "consumption": 98400.0 }, { "appliance_key": "electric_vehicle", "consumption": 56900.0 }, … ], "warnings": [] }
Every home comes back as one list of the appliances it has — those the training inferred from the meter alone, and those the owner declared. Each entry names the category its consumption lands in, so the list reconciles with the monthly breakdown. Solar and battery come back in the same response.
ELECTRIC_VEHICLEInferredHEAT_PUMPInferredELECTRIC_BOILERInferredCOOKINGInferredFRIDGEDeclaredWASHING_MACHINEDeclaredJACUZZIDeclared/sensors/SM_0001/metadata/appliances/consolidated200 OK{ "appliances": [ { "key": "ELECTRIC_VEHICLE", "source": "INFERRED", "energy_category": "electric_vehicle", "declared": null, "inferred": { "evaluation_mode": "STRICT", "last_detected_month": "2026-08" } }, … { "key": "FRIDGE", "source": "DECLARED", "energy_category": "fridge", "declared": [ { "amount": 1 } ], "inferred": null }, … ], "site_setup": { "pv": { "detected": true, "detection_source": "METERED" }, "battery": { "detected": false, "detection_source": "INFERRED" } }, "as_of": { "year": 2026, "month": 8 } }
VoltaScore rates each home from 1 to 100, overall and per appliance, against similar homes. Personalised recommendations turn the score into next steps your customers can act on.
/sensors/SM_0001/sm/insights/monthly?year=2026&month=8200 OK{ "volta_score": { "total_score": 67, "total_score_type": "peer", "total_peer_group_size": 37, "appliances": [ { "appliance_key": "fridge", "score": 97, "score_type": "reference" }, … ] }, "personalised_recommendations": [ "Your standby consumption is higher than similar homes." ] }
Production, self-consumption, grid import and export for every PV home, daily or monthly. Ready to show customers how much of their solar energy stays in the house.
/sensors/SM_0001/sm/solar/monthly?year=2026&month=8200 OK{ "capacity": 3.6, "production": 312.4, "consumption": 286.1, "import": 141.3, "export": 167.6 }
EV charging is detected from the meter alone. Every session is reported with its start, end and energy, ready for charging insights in your own products.
/sensors/SM_0001/sm/disag/cycles/monthly?year=2026&month=8200 OK[ { "appliance_key": "electric_vehicle", "total_consumption": 157500.0, "cycles": [ { "from": "2026-08-01T11:00:00", "to": "2026-08-01T12:05:00", "consumption": 7600.0 }, … ] } ]
Readings in at QoS 2, one message per meter per day.
Home details in, monthly results out.
Server-to-server auth with 12-hour bearer tokens.
Re-send any reading safely; one value per timestamp.
New capabilities ship without breaking changes.