Assumptions stay visible
Every forecast exposes its source, quality, range, and expiry.
Thermrow · 2026AI retrofit planning platform
A scenario-modelling web platform using AI to connect energy evidence, tenant constraints, funding, and delivery sequences from survey to investment case.

Energy, capital expenditure, comfort, leases, and delivery risk live in disconnected reports and spreadsheets. A budget or timetable change breaks the scenario, leaving teams unable to explain why an intervention should happen now.
Every forecast exposes its source, quality, range, and expiry.
Measures are sequenced where carbon, capital, and delivery value compound.
Tenant schedules, access, and dependencies sit beside cost and carbon.
A web-based evidence layer, comparable live scenarios, and a dependency-aware roadmap connect building data to interventions, trade-offs, and fundable delivery waves. Applied AI structures survey documents and flags evidence gaps while keeping every assumption visible.
Target to compare two scenarios with assumptions visible
Carbon, comfort, capital, and disruption connected
Interventions tied to evidence and dependencies
Owners can discuss portfolio investment through one shared set of assumptions instead of competing carbon, finance, and delivery spreadsheets.
The platform makes uncertainty and occupant disruption explicit while still producing a clear, buildable sequence.
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