Energy companies, ESCOs and developers use Struxiva to cut consumption, prove results against a clean baseline, and give building data a life long after handover, verifiable, not estimated.

For energy & advisory
If you sell services and expertise around other people's buildings, your credibility rests on the data behind your numbers. Struxiva gives you one validated foundation: forecast energy use and peak demand, locate where consumption is wasted, auto-generate accurate 3D models from technical drawings, and prove every result against a clean baseline. Each figure is traceable back to its source, so you spend less time gathering data and more time delivering outcomes you can stand behind.
Who this is for: energy companies and ESCOs, building-automation and performance-contracting specialists, and construction and development firms.
Who we serve
Whether you sell energy outcomes or hand over finished buildings, here's where Struxiva pulls its weight.

Performance contracts live or die on an accurate baseline, and disputed savings erode margins and trust. Struxiva supplies the validated baseline data ESCOs need, accelerates energy auditing so it scales with EPBD-driven demand, pinpoints where energy is wasted, and continuously tracks KPIs to verify retrofit outcomes. It also calculates SRI, so you can make the business case for smart-building upgrades, cutting both your cost of delivery and your liability.

Enormous effort goes into BIM and IFC models during design and construction, then they sit unused after handover. Struxiva becomes your handover intelligence layer: it unifies fragmented subcontractor data, documents defects precisely before and during handover, and turns all that construction data into a living dataset the owner actually uses, reducing warranty-period disputes and giving you a digital-twin differentiator to offer clients.
Proof & documentation
Struxiva maps every field of the documentation your clients and contracts require, whether you sell energy outcomes or hand over finished buildings, straight to validated building data. Where it can't fill a field automatically, it says so, instead of guessing.
Illustrative figures based on typical building-optimisation results. Replace with verified customer numbers as soon as case data exists.