For utility companies

Reach the home before the welcome pack lands.

Spot homes that have just changed hands within a day, then match each one to the right tariff on its real energy profile, not a postcode average.

See what you can do
No credit card · 500 free credits / month
AI assistantPropalt connected
Which homes in this postcode changed hands in the last 30 days?
New-occupancy signals refreshed daily. Several homes changed hands in the last 30 days. Sample:
NEW OCCUPANCY● LIVE
22 Elm Row
Sheffield · S7
Moved
35 days ago
EPC
D · gas combi
Heat pump fit
0.78
EV parking
Likely
Property level · 0 personal data
29M
properties covered
24h
new-occupancy refresh
88ms
to pull a property profile
0
personal data fields
See it in action
Reach the home before the welcome pack and match the tariff.
Reach the home before the welcome pack and match the tariff.
The connector in action

Ask it the way you actually work

Real questions from your desk, answered inside Claude or ChatGPT with the Propalt AI switched on. No dashboards to learn.

ClaudePropalt connected
Is 22 Elm Row suitable for a heat pump, and what is its EPC and heating fuel?
EPC D on a mains-gas combi. Heat-pump suitability scores 0.78 with no blockers.
EPC DGas combiHeat pump 0.78
ChatGPTPropalt connected
Break down EPC bands and heating fuel across this DNO area.
Full EPC band and heating-fuel mix returned for network planning, on current data.
EPC mixFuel mixDNO area
Context

The Problem We Solve

Utility customers are won and lost in the days around a move. But most teams find out a home has changed hands weeks late, once a rival welcome pack is already on the counter.

Tariff matching stays stuck at postcode level and ignores how the home actually heats itself. Network planners size capacity on Census figures older than the streets they serve.

What changes with Propalt

Outcomes you can rely on

01 · Occupancy targeting

Target the switching window at property level

Identify addresses that have transacted or changed occupancy, refreshed daily and matched to UPRN. Direct acquisition spend at the properties in the window rather than at a region.

02 · Tariff fit

Match the tariff to the property fabric

EPC rating and potential rating, wall and roof construction, insulation, glazing, main heating fuel and system age. Heat pump, solar and green tariff propositions go to the homes that can take them.

03 · Address base enrichment

Enrich your own address base by UPRN

Bulk enrichment of your existing address estate with property attributes, tenure and EPC. Segment the book you already have before spending on the book you do not.

04 · Area planning

Plan by area, not by region

Property age, tenure mix, EPC distribution, household composition and income context at LSOA and outcode level. Plan field, print and installer capacity against real density.

05 · Obligation targeting

Property-level inputs for scheme targeting

Low-EPC properties combined with area-level income and vulnerability context, as inputs to obligation-scheme targeting. Property signals, not eligibility decisions.

06 · Retention

Spot the move before you lose the customer

Transaction and occupancy signals against your existing customer address base, so a move triggers a retention conversation instead of a closing account.

One property call returns an occupancy change detected 35 days ago, a D-rated EPC on a mains-gas combi, a heat-pump suitability score of 0.78, a likely off-street parking signal, and the area income context. Zero individual records.
For developers
Prefer the technical detail? 10 endpoints cover 90%+ of utility needs; full directory at propalt.ai/product/forDeveloper.
get-property-detail, get-epc-fabric-by-postcode, get-broadband-data, get-income, get-monthly-market-analysis

Win the home, not just the postcode.

Free tier · 500 credits / month · No credit card.

View full API reference
No credit card required · Free 500 credits/month