Water-leak detection
Leak and flow sensors mapped to risers, plant rooms and tenant areas, with alerts routed to the team responsible for that space.
Solutions
The same facility model, from one building to a critical environment.
The same platform, wherever a facility has sites, spaces, assets and conditions worth explaining. Focused first where shared context matters most: estates whose systems do not talk to each other, and critical environments where an unexplained condition has consequences.
01
Buildings and facilities
The primary market: commercial buildings and portfolios where evidence is split across sensors, meters, BMS and access systems.
Example operational problems
Indoor environmental conditions
Temperature, humidity, CO₂ and comfort bands per zone — with the history to show whether a complaint is a pattern.
Energy visibility
Metered consumption related to buildings, floors and tenants, so a change can be traced to an area rather than an invoice.
Equipment alarms
Alarm state carried on the asset — pumps, AHUs, lifts, chillers — with the conditions that preceded it.
Fragmented facility systems
One operating context across the systems already installed, without replacing the BMS or the access platform.
Operational reporting
Recurring reports on conditions, alarms and consumption, exported for management and compliance review.
Insight
A leak, a comfort complaint and an energy question are the same problem in different clothes — none of them can be answered without context.
02
Campuses and institutional estates
Many buildings, one operations team, shared plant — and reporting obligations that span the whole estate.
Example operational problems
Portfolio-wide monitoring
One model across every building on the estate, so a condition can be compared between sites rather than read one screen at a time.
Shared plant and distribution
Central heating, cooling and water loops related to the buildings they serve, so an upstream change explains a downstream effect.
Sensitive spaces
Laboratories, archives, server rooms and cold storage held to their own conditions, with evidence retained.
Estate reporting
Consumption, comfort and alarm reporting per faculty, building or cost centre, from a single source.
Flagship critical environment
In a data centre, the facility side is where operating risk lives. PixelCore is the operational intelligence layer around it.
03
Data-centre facility operations
A facility-side operational intelligence layer: environment, power and cooling, in spatial context, with the history to back it up.
Example operational problems
Environmental monitoring
Inlet and return temperatures, humidity and differential pressure by room, aisle and rack row, against configured bands.
Power and cooling visibility
Feeds, PDUs, CRAC/CRAH units and chilled-water loops related to the spaces and equipment they serve.
Equipment alarms
Facility equipment alarms with the surrounding conditions attached, rather than a bare notification.
Spatial context
Floor plans, room layouts and 3D views so a reading is located before anyone walks the floor.
Cross-system investigation
Environment, power, cooling and access events examined together, with possible contributing factors and next checks.
Historical operating evidence
Retained history for incident review, customer reporting and audit — queried by asset, space or period.
Scope, stated plainly
PixelCore is not a complete DCIM replacement. It is designed to complement specialist DCIM products and existing facility systems, and to provide the facility-side operational context between them. Integration with a specific DCIM, BMS or power-monitoring product is scoped per site.
Expansion environments
Where the operating pattern is the same — sites, spaces, equipment, conditions — the same model applies.
04
Transport, logistics and infrastructure
Facility-side operations at depots, terminals and utility sites — visible, but not presented as a specialism of their own.
Example operational problems
Depots and terminals
Building services, cold storage conditions and equipment alarms across operational sites.
Utilities and infrastructure
Pumping stations, plant rooms and network assets monitored against the same rules and history.
Distributed operational sites
Many small sites reported as one estate, with per-site rules and one set of definitions.
Asset location and condition
Where equipment is and what condition it is in, for the asset classes a deployment chooses to track.
05
Additional supported environments
Deployments outside the focus areas above are supported through the same model, without claiming sector specialisation.
Supported · scoped per project
Retail and hospitality sites
Refrigeration conditions, comfort and energy across many small, similar sites.
Industrial facility monitoring
Facility-side conditions and equipment status alongside existing plant control systems.
Controlled-environment agriculture
Climate, irrigation and soil conditions in greenhouses, modelled per house and zone.
Something else?
If the environment has sites, spaces, equipment and conditions worth explaining, tell us the problem and we will say honestly whether PixelCore fits. Talk to us.
The pilot, step by step
How a first deployment runs
A pilot is scoped to de-risk adoption: one site, one measurable operational problem, agreed success criteria before anything is connected.
- Select one site and one measurable operational problem — a leak risk, a comfort complaint, an energy question, a recurring equipment alarm.
- Connect the relevant data and model the affected assets — only what the problem needs, mapped to real spaces and equipment.
- Demonstrate the operational view and the workflow — what the team sees, what triggers, who is notified, what happens next.
- Validate the value before expanding — agree what "worked" means up front, then decide on the next site or system.
Pilot
One site, one defined problem, on your own readings.
Production
Rules, roles, reporting and the systems in scope, with teams trained.
Scaling
More sites and problems, integrations added as they earn their place.
One site, one problem