Building-Wide Occupancy & HVAC Optimization Platform
US-based building-management / energy-efficiency technology companyThe platform combines occupancy and environmental sensing across a building to understand space utilization and provide intelligence for more efficient HVAC operation.
Where AI accelerated vs. where our engineers led.
Every project follows the same Rivix Split — AI drafts the mechanical work, a named engineer reviews and owns every decision that touches safety, cost, or a regulatory limit.
Where AI accelerated
- Firmware & sensor interfaces
- Device APIs
- Data pipelines
- Analytics & dashboard
- Test generation & documentation
Where our engineers led
- Occupancy methodology & sensor fusion
- Building-system integration
- HVAC control boundaries
- Architecture & reliability
- Deployment validation
Technical deep-dive
Additional detail on architecture, stack and implementation specifics for this engagement.
Architecture & stack
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.
- Distributed occupancy/environmental sensors and gateways with edge-level pre-processing
- Cloud backend providing analytics and HVAC-integration intelligence
- Facilities-facing dashboard surfacing building-wide utilization
Connectivity & data pipeline
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.
- Zone-level sensor data aggregated cloud-side into a building-wide utilization picture
- Analytics and recommendations integrate with existing HVAC control boundaries
- Deployment validated against real occupancy patterns before recommendations go live
Key engineering challenges
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.
- Fusing multiple sensor types into one reliable occupancy signal per zone
- Integrating with existing building-management systems without overstepping agreed control boundaries
- Balancing sensor density against installation cost across a full building
Why this approach
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.
- Platform scoped to provide recommendations rather than direct HVAC actuation, keeping control-boundary risk with existing building systems
- Edge pre-processing reduces the volume of raw data the cloud pipeline needs to handle
- Integration respected existing infrastructure and safety boundaries by design, not as an afterthought