See the money first
Start with an annual and monthly savings range, confidence score, assumptions, and source status before discussing equipment.
AI HOME ENERGY OS FOR U.S. HOMES
THE SHORT ANSWER
SAVPWR helps a household find where energy spending may be reduced, understand why an opportunity was identified, and decide whether a qualified local professional should verify it. Savings are shown as an evidence-backed range—not a promise.
Start with an annual and monthly savings range, confidence score, assumptions, and source status before discussing equipment.
AI organizes household and energy signals into prioritized actions, while important safety, scope, and purchase decisions remain human-verified.
Request an expert review, set contact preferences, follow the visit, and review the quote from the same account.
HOW SAVPWR WORKS
Share the address, bill range, equipment age, comfort concerns, and optional bill document.
See a savings range with confidence, assumptions, public-data status, and a prioritized action plan.
Ask for a standardized review, receive an explainable installer match, and follow service and quote progress.
For homeowners
For HVAC partners
AI WITH ACCOUNTABILITY
Public context starts the estimate. Household documents, field diagnostics, service evidence, quote outcomes, and later energy use create the feedback loop for better models and better service.
COMMON QUESTIONS
SAVPWR is an AI-guided Home Energy OS that helps U.S. households identify possible energy-cost savings and move into trusted local HVAC service when needed.
The screening model combines household inputs with available address, weather, utility-rate, equipment, and incentive context. It returns a range, assumptions, source status, confidence score, and model version.
No. Screening results are planning estimates. Final savings, incentive eligibility, equipment condition, installation scope, and pricing require bill review and professional verification.
Yes. Renters can identify behavioral, control, rate, and comfort opportunities, although equipment changes usually require property-owner approval.
The current explainable match considers service ZIP, verified skills, availability, near-term capacity, service quality, and continuity with an installer who originally introduced the customer.
When an installer legitimately introduces a customer, SAVPWR can preserve that relationship under a versioned attribution rule and create auditable commission events for eligible purchases.
START WITH THE SAVINGS