Raft AI scrapes public tax assessor records to pinpoint pre-1970s homes in cold climates, then delivers each owner a personalised energy-savings calculation before connecting them to a vetted local contractor. You close more jobs. We earn a referral split.
We pull public tax assessor records across cold-climate counties, filtering for homes built before 1970.
ML models cross-reference heating-degree-day data and home age to score upgrade urgency.
Each homeowner receives a personalised calculation — their address, estimated savings, and payback period.
Interested leads are routed to vetted local contractors. Completed jobs trigger a commission split.
Join our contractor network and receive warm introductions to homeowners who already know the numbers and want to act.
Get Started →