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    Commercial Real Estate

    Be everywhere your property needs you.

    The cameras already in your building can become operational eyes. NSigma reads occupancy, queues, dwell and crowding as anonymous events, predicts the congestion before it forms, and coordinates the response, without asking one person to watch every feed.

    [01]

    Challenge

    The Commercial Real Estate Challenge

    CRE portfolios face mounting pressure to reduce operating costs while maintaining tenant satisfaction. Reactive maintenance, energy waste, and manual inspections drain NOI.

    Equipment Failure

    $3M-10M wasted on emergency repairs (500-building portfolio)

    • Reactive break-fix at 3x cost
    • Tenant complaints = vacancy risk
    • No predictive alerts

    Energy Waste

    30-40% energy waste = $2M-8M/year

    • BMS drift and misconfiguration
    • Over-condition vacant spaces
    • No occupancy-based controls

    Inspection Inefficiency

    $5K-20K per building, 1x/year

    • Manual contractor inspections with scaffolding
    • Deferred maintenance backlog
    • Surprise $50K-500K emergency repairs
    [02]

    Platform

    Platform - Commercial Real Estate

    The MOSAIC Integrated Ecosystem

    Four integrated disciplines. One continuous pipeline from raw data to operational intelligence.

    01
    dataACQUIRE
    The Foundation
    02
    dataPREDICT
    The Intelligence Engine
    03
    dataVISION
    The Insight Navigator
    04
    dataADVANCE
    The Operational Backbone
    dataACQUIRE - building systems
    SCADA / BMSModbus RTU12K/sec
    IoT SensorsMQTT8.4K/sec
    Yardi / MRIREST APIbatch
    Camera FeedsRTSP30 fps
    AMI Meters15-minpolling
    CMMS / WOWebhookevent
    dataACQUIRE

    Unified Building Systems Lakehouse

    Ingest from BMS/SCADA, IoT sensors, property management ERPs, camera feeds, utility meters, and CMMS - normalized into a cross-portfolio schema.

    BACnet, Modbus, MQTT, OPC-UA protocol support
    Yardi, MRI, RealPage ERP integration
    Camera feed ingestion via RTSP/ONVIF
    15-minute interval meter normalization
    SparkKafkaAirflowDelta LakeSnowflakeTerraform
    [03]

    Solution Bundles

    Predictive Asset Health & MaintenanceEnergy Optimization & SustainabilityIntelligent Visual Inspections

    Target Buyer

    VP of Operations, Director of Engineering, Asset Manager

    Key Benefits

    • 60-75% reduction in emergency maintenance calls
    • Predictive alerts 30-60 days before failure
    • Asset health scoring across entire portfolio
    • Automated work order generation

    What It Replaces

    • Reactive break-fix maintenance
    • Manual equipment rounds
    • Spreadsheet-based asset tracking

    60-75% less

    Emergency Calls

    30-60 days

    Predictive Lead Time

    100%

    Asset Visibility

    Automated

    Work Order Automation

    90-Day Pilot Scope

    4-6 buildings (100K-300K sq ft each), 50-150 critical assets

    VIEW PILOT PLAN
    [04]

    Products

    Powered by NSigma's Product Stack

    Purpose-built solutions that work together to deliver predictive intelligence across your operations.

    R

    ReMI

    Real Estate Monitoring Intelligence

    Predict HVAC failures 7-30 days ahead, real-time energy monitoring, tenant-level attribution for smarter building operations.

    F

    FRIT

    Field Resource Intelligence Tool

    Digital work orders & inspections, 50% reduction in admin time, real-time asset history for maintenance teams.

    V

    ViDA

    Video Data Analytics

    Occupancy analytics (lobbies, parking), safety compliance monitoring, energy waste detection through computer vision.

    M

    MOSAIC

    Unified Analytics Center

    Portfolio-wide dashboards, capital forecasting engine. Integrates with Yardi, MRI, BMS for unified building intelligence.

    60-75%

    Emergency call reduction

    15-25%

    Energy cost savings

    50%

    Admin time reduction

    7-30 days

    Failure prediction lead time

    [05]

    Process

    90-Day Pilot Timeline

    A bounded, low-risk engagement to prove value before scaling.

    Weeks 1-2

    Discovery & Integration

    • Connect data sources
    • Baseline KPIs
    • Stakeholder interviews
    Weeks 3-6

    Build & Deploy

    • Configure dashboards
    • Deploy predictive models
    • Train field teams
    Weeks 7-10

    Optimize & Validate

    • Refine alerts
    • Validate KPI improvements
    • Gather user feedback
    Weeks 11-12

    Results & Roadmap

    • Final ROI report
    • Expansion plan
    • Decision to scale

    Typical Pilot Scope

    4-6 buildings (100K-300K sq ft each), 50-150 critical assets (HVAC, chillers, elevators)

    Deliverables

    Asset health dashboard, predictive alerts, energy FDD reports, roof/facade defect detection

    Ready to Transform Commercial Real Estate Operations?

    See NSigma in action with a personalized demo using your data scenarios.

    ISO 27001GDPR CompliantAWS / Azure
    [FAQ]

    FAQ

    Frequently Asked Questions

    Get in Touch

    We'll respond within one business day.

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