Every sector has its own pains. All of them live in the physical space.

An idle bed is idle revenue (slow turnover); a piece of equipment down cancels surgeries and exams.

Clinical air quality: ventilation and pressure regimes that hold back hospital-acquired infections. Burnout and nurse attrition in a poorly-controlled environment of constant alarms; patient comfort and recovery.

Live room status and occupancy (bed turnover); predictive maintenance before failure; continuous air and critical-environment monitoring with early alerts; comfort under control without touching clinical kit.

You don’t know why one store converts and the next one doesn’t; capture rate (passing vs entering) is blind; staffing out of step with real footfall.

Brutal staff turnover: badly climate-controlled, badly run stores lose people. Customer experience suffers too: heat, queues and crowding shorten visits and push customers away.

Footfall, capture rate, conversion and energy per store in one place; staffing aligned to the actual demand curve; comfort and occupancy under control; anomalies in hours, not at month-end.

A room that takes too long to be ready is an unsold night; oversized common areas; energy among the top-3 cost lines.

Reviews: room comfort and air decide the score, and the score is next year’s revenue. Staff retention in a sector with brutal turnover.

Live readiness and occupancy across rooms and common areas; setpoints follow real occupancy; in-room environment monitored; multi-property view with the CSRD return wrapped up by Sofia.

Floor space paid for and unused (true utilisation, especially under hybrid work); which assets are pulling opex up.

Occupant wellbeing as a leasing edge: healthy building credentials, good air and comfort retain tenants and earn a premium. A tenant who walks because of discomfort means vacancy and lost NOI.

True utilisation per asset and floor (right-sizing, repurposing); air and comfort under control to keep tenants; opex and energy per asset with underperformer detection; GRESB and CSRD at fund level, riding on the BMS already in place.

Unplanned downtime is lost production; energy per unit produced not even measured.

Shop-floor safety and air: heat, dust and poor ventilation drive accidents and sick leave. Retention of skilled labour, hard to hire in the first place.

Predictive maintenance that catches failure before the alarm fires; energy per output in real time; shop-floor condition monitoring; Scope 1·2·3 with Vega.

An old, scattered building stock with tight budgets and bills under scrutiny; a maintenance backlog spread across dozens of buildings.

Classrooms with high CO₂ mean worse performance and more sickness in children; staff wellbeing and citizen satisfaction in public services.

Runs on what’s already there (no rip-and-replace); cuts the estate’s consumption; predictive maintenance distributed across sites; air and CO₂ monitoring in schools and services; EU/PT data residency and compliance.

Queues and congestion (security, check-in, gates) that miss flights and trigger compensation. Critical equipment down (jet bridges, baggage belts, escalators, HVAC) with cascading delays. Terminal energy 24/7, among the heaviest bills there are. And concessions: terminal footfall is the revenue of every shop and food court.

Passenger experience (queues, heat, crowding) that decides airport satisfaction and reputation. Crowd safety and security. Air and comfort across the terminal.

Passenger flow and occupancy in real time, anticipating queues before they form. Predictive maintenance on critical equipment. Terminal energy under control. Footfall per concession. And dispatch of cleaning and security exactly where and when they’re needed.

Uptime is everything. Every minute of downtime is an SLA penalty and a reputation hit. Cooling is the biggest controllable cost (PUE): inefficiency burns straight through margin. A cooling, UPS or generator failure without warning is catastrophic risk.

Heavy ESG scrutiny (PUE, water, carbon) that customers and regulators already require. Physical security and access control, where a failure is not an option.

Real-time thermal monitoring that catches hotspots before they become risk. PUE and energy optimisation. Predictive maintenance on cooling, UPS and generators. Anomaly detection. Physical security and access integrated in. And sustainability reporting (PUE, water, GHG) ready to file.

Labour is the biggest line and it runs on the clock, not on need: a clean toilet gets cleaned again, an empty corridor gets patrolled, maintenance stays reactive. SLA disputes without proof ("that room wasn’t cleaned") turn into penalties and lost contracts. Operations scattered across dozens of client sites, each with its own system and its own rounds.

Winning tenders against commodity competition means proving you deliver more, with data and not promises. Brutal turnover in cleaning and security staff working in badly-run environments.

Service on demand: cleaning triggered by occupancy, security guided by events, predictive maintenance. Same coverage with fewer hours, more margin. SLA proven with data (what was done, where, when, and how fast) to retain and win contracts. One platform across every client site, instead of one system per contract.