When the board asks about energy, when an audit is closing in, when residents won't stop calling about cold apartments — Struxiva gives you the answer in minutes. From the documents and sensor data you already own, building by building, fault by fault, metric by metric.
In Finland alone, ~850 property management companies oversee 50,000 residential buildings and more than €8.5 billion in annual operating and renovation spend — without portfolio-wide visibility into where energy leaks.
Around every building sits decades of drawings, reports, certificates, meter logs, sensor streams, work orders, and emails. The data exists — it's just scattered across tools, out of sequence, disconnected from its context, never validated against itself, and never assembled into something a machine — or a human — can reason over.
The Struxiva pipeline is fully automated. Feed it documents and sensor feeds; receive a prioritised list of what's wrong, where, and what fixing it is worth.
Struxiva's fault detection, savings estimates, and ontology layer are grounded in published research and open standards — not vendor benchmarks.
Struxiva adapts to the decision-maker, not the building type. Whether you manage one property or a thousand, the same pipeline delivers the answers that matter to your role.
These are the four reasons customers in pilot today say they chose us.
Struxiva is a research-driven, high-tech company built at the intersection of building physics, applied AI, and large-scale data engineering — created by practitioners who have owned the problems we solve. Our approach is grounded in real-world research, from field studies and simulation models to large-scale audit data and operator insight. We don't build features and look for applications — we start from validated evidence and work backwards to the product. The result is technology that reflects how buildings actually perform, delivering reliable, scalable solutions grounded in data, not assumptions.