Predictive ventilation software built on digital building logic to guide healthier, more efficient, and autonomous ventilation behaviour.
Modern buildings are increasingly expected to do more with less: keep occupants healthier, cut operating costs, and adapt to increasingly variable conditions – often with ageing infrastructure designed decades ago.
The challenge is balance: Occupancy, air quality, and weather can all change hour by hour, and ventilation has to keep pace across multiple zones without wasting energy or drawing in pollution at the wrong time Airscan Smart Ventilation Control combines live indoor and outdoor data with short-horizon forecasting to adjust zone-level ventilation targets automatically – as conditions shift.
Airscan Smart Ventilation Control is a software-led control layer that uses environmental data, building performance, and predictive modelling to steer ventilation systems toward healthier occupant outcomes at lower cost without requiring wholesale infrastructure replacement.
Uses live IAQ/CO₂ and occupancy profile plus short-horizon forecasting to set zone ventilation targets.
Reduce energy consumption and ultimately, operating cost as ventilation output is calibrated to reduce unnecessary runtime and peak demand.
Designed to work with existing HVAC and BMS architectures with minimal hardware intervention.
Control strategies are aligned with occupant wellbeing frameworks and certification requirements.
Indoor air quality, occupancy dynamics, and thermal behaviour are interpreted as a unified system.
Control actions and outcomes remain visible, auditable, and reportable.
Smart Ventilation Control functions through four interlocking control layers spanning prediction, zone logic, integration, and oversight.
Airscan’s Smart Ventilation Control starts with a lightweight digital twin designed to reflect how the building is laid out and operated. We define ventilation zones, spatial relationships and system constraints, then tie them to operational intent – what each space is meant to deliver, when, and under which limits.
The performance logic layer is blended with our monitoring “map” and helps define which spaces need measurement, at what granularity, and how readings roll up into controllable ventilation targets.
The data layer turns building understanding into live operational insight, starting with measurement. We review your existing instrumentation, or design and commission the monitoring network required at zone level – including calibration and placement aligned to how spaces are used.
Once measurement is in place, indoor and outdoor environmental signals, occupancy indicators and available BMS points are brought into a single working picture of current conditions. Inputs are time-aligned and interpreted against the building’s own response characteristics, producing reliable, comparable signals for automation and technical teams. Integration is software-first, with targeted interfacing only where communication gaps exist, keeping deployment practical for mixed estates and legacy infrastructure.
At the core of Airscan’s Smart Ventilation Control is a short-horizon predictive engine that models how conditions will evolve across ventilation zones. Using time-based forecasting and learned building response patterns, it generates control decisions ahead of change, allowing smoother operation and lower operational strain. In practice, zone-level ventilation targets update automatically as usage and outdoor conditions shift, sustaining comfort and indoor air quality while ultimately – reducing energy and operating cost.
Smart control only helps ifi ts behaviour stays legible. Airscan Smart Ventilation Control includes an oversight layer that keeps control actions, system response and resulting indoor conditions observable over time. It provides a clear operational record of what the system did, why it did it and what changed as aresult – at zone level and across the building.
This visibility supports day-to-day confidence and longer-cycle governance. Operators can review trends, validate that targets are being held, spot drift before it becomes a comfort issue or an air quality complaint. Performance evidence can be exported for internal reporting and used to support alignment with health-focused building frameworks without turning ventilation into black-box automation.
Start with a focused discussion on how your existing ventilation systems could be guided more intelligently. We’ll outline control opportunities, integration considerations, and where predictive ventilation could deliver the greatest impact – before any commitment is made.