AIRIA is a spatial intelligence software solution that gives universities a clear, data-backed view of how facilities are used through real-time occupancy insights. By analyzing campus-wide occupancy patterns, AIRIA identifies underutilized, overburdened, or misaligned spaces. This data visualization enables facilities and energy teams to optimize space, align operations, reduce costs, and support sustainability goals—without additional hardware.
AIRIA visualizes 24/7 occupancy patterns across buildings, floors, and rooms, revealing underused and overburdened spaces so teams can consolidate, repurpose, or right-size facilities based on real utilization.
The platform supports smart capital planning by proving where existing space is sufficient, prioritizing renovations, and helping delay or avoid unnecessary expansions, leases, and deferred-maintenance liabilities.
AIRIA aligns HVAC and lighting runtimes with real-time and predictive occupancy, enabling 10–40% energy savings, reduced peak charges, and measurable progress toward carbon-neutrality and sustainability targets.
Machine-speed analytics and built-in reports replace manual studies, supplying defensible data for budget decisions, grants and compliance while giving facilities, energy, and finance leaders a shared, trusted source of truth.
AIRIA is interoperable with existing IT and building systems and designed privacy-first—using no PII and no individual tracking while still delivering actionable insights.
University of New Hampshire uncovered underutilized space, avoided $750K in construction costs, and reduced HVAC hours 32%, cutting energy use and emissions campus-wide.
AIRIA helps higher education institutions become more operationally efficient by providing real-time occupancy insights. In turn, schools can rightsize their physical plant, avoid costly construction, reduce energy consumption and more, all to save money and resources.
High-resolution, clean floor plans in .PDF or .CAD.
WiFi Access Point location information, including x/y coordinates.
Virtual Machine set up (if an on-premise WiFi network).