Value reason 01
Unify facility operations
Bring assets, meters, alarms, trends and site context into one operational view.
Facility & Utility Operations
FaciliVISS
Operate facilities and utilities from one connected evidence layer.
A purpose-built operational application for managing facility and utility systems — meters, HVAC, cooling, water and energy assets in one place. Facility Analyst, the Daily Facility & Utility Analyst, works across FaciliVISS or whatever BMS you already run.
Cooling energy+14.2%
Evidence-backed findingChiller sequencing outside baseline
Operational Workflow ExampleEvidence-backed
An abnormal utility condition is visible with the affected asset, trend and operating context.
Meter and equipment data share one asset hierarchy
The event is retained with time and site context
Facility teams can review the trend before responding
Recommended next step
Assign the operating check, record the finding and monitor the asset after corrective action.
Illustrative product-output example. Values and findings are not customer results unless a published case study is linked below.
Why Teams Buy FaciliVISS
Buy FaciliVISS when facility teams have data but no connected operating view.
Multiple BMS screens, meters, spreadsheets and alarms obscure the relationship between assets, utilities and operating conditions. FaciliVISS creates one evidence layer for daily facility control and improvement.
Value reason 02
Respond with asset context
Help teams understand what changed, where it changed and which equipment requires attention.
Value reason 03
Create a foundation for recurring analysis
Structure operational evidence so the FaciliVISS Analyst can identify waste and performance risk continuously.
Cost of waiting
Fragmented data keeps teams reactive, increases manual monitoring and makes savings or reliability improvements harder to verify.
How the value becomes measurable
Assets connected
Conditions visible
Response coordinated
Performance improvement verified
Five years in daily operations
FaciliVISS has supported Nokia daily facility operations for five years across two global data centres, a network centre and an electronics manufacturing facility, with additional deployments at Purechem Nigeria and Flex.
What It Does
Built around the work your team performs every day.
Start with one operating decision, connect the evidence already available and expand as value becomes visible.
01Energy and utility monitoring
02HVAC, cooling and equipment performance
03Alarm and abnormal-event visibility
04Meter, asset and site hierarchy
05Facility-performance dashboards and operating records
Questions It Helps Answer
?
What is consuming energy, water or utilities right now?
?
Which equipment or area has moved away from baseline?
?
Are alarms connected to the correct operating context?
?
How does performance compare across facilities?
What Your Team Receives
Connected facility and utility visibility
Asset and meter hierarchy
Operational alerts and trends
Site and multi-site performance context
Usable evidence for the FaciliVISS Analyst
Works With What You Have
Your current systems remain the source of truth.
Connect directly where data is accessible. Use EdgeVISS where operational data is trapped inside machines, controllers or industrial protocols.
BMSEnergy metersHVACChillersCompressorsWater systemsTemperature sensorsModbus devicesHistoriansEdgeVISS
Operational Outcomes
Unify fragmented facility information
Improve utility operating visibility
Create consistent monitoring across sites
Support faster response to abnormal conditions
Build a trusted foundation for daily analysis
Deployment
Designed for industrial architecture
Deploy in the architecture that fits the plant, data-governance and latency requirements. Access remains governed and operational experts retain decision authority.
CloudOn-premiseEdgeHybrid
Add recurring facility analysis
The FaciliVISS Analyst can work across FaciliVISS or an existing BMS to identify abnormal consumption and equipment-performance risk.
Start With One Real Decision
See what FaciliVISS finds in your own operational data.
Begin with one dataset, one recurring problem and one decision your team needs to improve.
Analyse My Data