How HeatROI AI models Surface Renewal and Thermal Value
Transparent inputs, evidence-graded outputs, and clear boundaries between what CoolCrete Renew addresses and what it does not.
Every HeatROI report is built from four blocks: (1) a surface condition assessment mapped against a distress catalog and maintenance history, (2) a thermal opportunity model using measured or benchmarked reflectance/emittance and ambient conditions, (3) a lifecycle capital-deferral model that discounts future rehabilitation and maintenance cash flows, and (4) a suitability gate that decides whether CoolCrete Renew is even appropriate for the observed substrate.
Financial results are shown as ranges (conservative / base / upside) and are tagged with an evidence grade so viewers can see whether the number is a screening estimate, a site-assessed model, a pilot-verified measurement, or third-party / long-term validated.
HeatROI AI does not provide structural engineering, waterproofing, code-compliance or concrete-repair design services.
CoolCrete Renew is not a substitute for correcting active structural distress, reinforcement corrosion, moisture intrusion or substrate failure. Where those conditions are observed, the platform flags an engineering review requirement instead of returning an ROI estimate.
Independent laboratory test data or long-term monitoring supports this result.
A site pilot has measured thermal or renewal performance for this surface.
Field-assessed inputs support this modeled result; not yet pilot-verified.
Screening-level estimate. Inputs and outputs remain modeled until pilot verification.