The platform combines occupancy and environmental sensing across a building to understand space utilization and provide intelligence for more efficient HVAC operation.
Every project follows the same Ryvasys Split — AI drafts the mechanical work, a named engineer reviews and owns every decision that touches safety, cost, or a regulatory limit.
Additional detail on architecture, stack and implementation specifics for this engagement.
The platform combines distributed occupancy/environmental sensors and gateways across a building with edge-level pre-processing, feeding a cloud backend that provides intelligence and integration points for the building's HVAC control systems and a facilities-facing dashboard.
Sensor and gateway devices stream occupancy and environmental data to the cloud, where it's aggregated across zones to build a building-wide picture of utilization; this feeds analytics and recommendations that integrate with existing HVAC control boundaries rather than directly actuating equipment outside agreed integration points.
Fusing occupancy signals from multiple sensor types into a reliable building-wide utilization picture, and integrating cleanly with existing building-management and HVAC systems without overstepping agreed control boundaries, were the primary engineering challenges — building-system integration work tends to be as much about respecting existing infrastructure and safety boundaries as it is about the sensing itself.
The platform was scoped to provide intelligence and recommendations rather than direct HVAC actuation, reflecting a deliberate choice to keep control-boundary risk with the building's existing systems while still delivering the efficiency value from better occupancy visibility.
