Solutions · Space & Occupancy
Stop conditioning empty rooms. Right-size every floor.
DigiNest's privacy-first people-sensing reveals how your spaces are really used, so you can free up unused rooms, consolidate underused zones, and stop heating and cooling space no one is in.
Space decisions made on assumptions, not evidence.
Real estate is one of the largest line items an organization carries, and most of it is sized on assumptions rather than evidence. Meeting rooms sit empty while teams hunt for space. Whole floors are conditioned for a handful of people. Without trustworthy occupancy data, every decision about space is a guess.
How DigiNest does it
Privacy-first sensing
Presence and utilization measured without cameras and without identifying anyone: important for occupant trust and data-protection compliance.
Real utilization analytics
See occupancy patterns by space and over time, so you can plan around how the building is actually used.
Consolidation insight
Identify underused zones to consolidate or repurpose, reducing both footprint and the energy spent conditioning it.
Live feed to Arva
Occupancy is a live input. Arva uses it to ventilate, light, and condition spaces to real presence: connecting directly to energy management and air quality.
From sensor to space decision.
What DigiNest measures
DigiNest deploys passive infrared, CO₂, and multi-spectral sensors across zones and rooms. Unlike badge-swipe records or camera feeds, these sensors capture presence continuously and anonymously without identifying individuals or storing personally identifiable data. The result is a continuous stream of utilization evidence: which rooms sit empty when booked, which floors have consistent occupancy across the week, and where presence patterns have shifted since the last space review. This replaces the guesswork that leads to over-leased floors and under-used meeting rooms.
Arva connects occupancy to energy and air
Occupancy is not just a space-planning metric. In DigiNest it is a live input that drives Arva's decisions across energy and air quality simultaneously. When a floor is empty, Arva reduces conditioning and ventilation setpoints for that zone a direct link between space data and reduced energy spend. When a meeting room fills unexpectedly, fresh-air rates increase automatically. The occupancy layer acts as a shared truth for all downstream optimization so every system responds to how the building is actually used, not a schedule built months ago.
What your building team sees
Facility and workplace teams see utilization heat-maps and trend graphs updated continuously. Over days and weeks, the data reveals which spaces are chronically under-used and which are contested. Reports filter by floor, zone, time-of-day, and day-of-week the granularity needed to make a defensible argument for consolidating a floor or freeing a wing. Portfolio managers see the same view aggregated across sites: one unified picture of how real estate is being used across the estate.
Integration: how the data flows
DigiNest ingests occupancy signals over BACnet, Modbus, MQTT, and REST API connections to sensor platforms. For buildings with an existing BMS, occupancy data overlays the live building model without displacing the underlying system. For greenfield deployments, DigiNest's own edge hardware connects in minutes. The approach is protocol-agnostic: whatever your current sensor estate, the data flows into the same unified layer that Arva reads for energy, air quality, and operations decisions.
Arva acts within limits you set. Low-risk optimizations happen automatically. High-impact changes come to you with a recommendation your approval, one tap.
Frequently asked.
What is occupancy-based HVAC control?
Occupancy-based HVAC control adjusts heating, cooling, and ventilation in real time based on whether spaces are actually occupied, rather than running on fixed schedules. DigiNest's Arva agent reads live occupancy from privacy-first sensors and automatically modifies setpoints and fresh-air rates zone by zone, eliminating the energy wasted conditioning empty rooms.
Does occupancy sensing use cameras?
No. DigiNest uses privacy-first sensing that measures presence and utilization without cameras and without identifying individuals.
How does occupancy data save energy?
When Arva knows which spaces are actually occupied, it conditions, ventilates, and lights to real presence rather than to a fixed schedule: eliminating waste in empty zones.
Can I use this to plan office space?
Yes. Utilization analytics show how spaces are used over time, supporting decisions to right-size, consolidate, or repurpose floors.
Ready to make your
building act?
DigiNest connects to your existing BMS, meters, and sensors in days, not months. Book a personalised walkthrough for your site.