Enterprise — sub-metered
Large estates with a BMS or aM&T system already in place
Circuit-level attribution and event-level diagnostics. The step up that needs devices on site.
- Resolution
- 1 Hz, sub-metered circuits
- Data route
- BMS / aM&T integration, or dedicated sub-meters
What it can tell you
- Everything the meter-data tier does
- Attribute load to circuits and plant, not just to a site
- Event-level diagnostics — “the air handling unit started at 04:12”
- Demand and power-factor analysis
What it cannot
- Be delivered without hardware and on-site engineering
- Compete on onboarding friction — that advantage is the other tiers’
Enterprise — meter data only
UK SME and enterprise multi-site operators with no energy team
Waste findings, drill-down and statutory reporting from data the customer already has. No hardware, no install.
- Resolution
- Half-hourly settlement data
- Data route
- Consented DCC access, supplier API, or CSV export
What it can tell you
- Separate always-on baseload from trading load
- Quantify after-hours waste and schedule mismatch in £/year
- Detect baseload drift and step changes, weather-normalised
- Re-price consumption under an alternative tariff
What it cannot
- Tell you which appliance — 48 samples a day cannot resolve one
- Distinguish actual from estimated reads where the source omits the flag
Residential
Households with a UK smart meter
The same engine on a home meter. Occupancy hours replace opening hours; after-hours waste becomes “energy used while the house should be asleep”.
- Resolution
- Half-hourly, or ~10 s with a Consumer Access Device
- Data route
- n3rgy consumer API (consented DCC)
What it can tell you
- Separate standing load from occupied-hours load
- Flag overnight consumption that should not be there
- Detect a rising standing load — a failing appliance
- Run entirely on the same detectors, configured differently
What it cannot
- Do appliance-level disaggregation from half-hourly data
- Weather-normalise without a local weather series configured
- Produce numbers as large as a commercial site — expect tens of pounds, not thousands
Government — national aggregation
National energy agencies and regulators aggregating a residential meter panel
The same engine, rolled up: a panel of consented household meters aggregated to local-authority and country level — with a household never re-identifiable in the output.
- Resolution
- Half-hourly per meter, but a household is never shown on its own
- Data route
- A data-sharing agreement covering a consented panel of connected meters
What it can tell you
- Track national and regional consumption, cost and carbon over time
- Compare local authorities on a normalised, per-household basis
- Surface population-level patterns — e.g. what share of the panel shows overnight heating waste
- Apply small-cell suppression automatically, the way published national statistics do
What it cannot
- Identify, or let a viewer infer, any single household's consumption
- Show a figure for a group smaller than the disclosure floor — it is merged into “Other” instead
- Replace the residential product's individual advice — this tier is population-level only
- Present a scored insight as a validated prediction — the scoring pipeline is a mock, disclosed as such on every screen
System status
What is loaded right now, including the things that quietly break a demo.
| Analysis | ready — 13 findings |
| AI advisor | gemini-3.6-flash |
| Emission factors | desnz-2025 (unverified — reports watermarked DRAFT) |
| Market pack | gb (unverified) |