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SmartViz Ltd

AI-powered building analytics for space optimization and occupant wellbeing

Digital twin platform that combines IoT sensors, BMS data, and occupancy analytics to optimize building performance, space utilization, energy efficiency, and occupant wellbeing with predictive modeling and what-if scenario planning.

Not publicly specified raisedGrowth Stage
Founded 2022 · Vodafone (global portfolio, $40M annual savings), Cardiff Metropolitan University (£5.1M savings), Royal United Hospital, Heathrow Airport Terminal 5, Barbican Centre, LA Metro, High Line, 7+ universities
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WHY IT EXISTS

Why This Tool Exists

The Problem

Building owners and operators struggle to understand how their properties are actually used. Teams manually review building systems and occupant feedback, wasting thousands on unnecessary construction, overstaffed facilities, and wasted energy. Decisions lack data-driven insights, leading to poor space decisions, operational inefficiency, and missed sustainability targets.

The Solution

AI-powered digital twin platform that combines low-cost IoT sensors with building management systems to create a real-time understanding of how spaces and energy are used. Proprietary algorithms predict building performance, identify optimization opportunities, and simulate what-if scenarios to guide renovations and operations with 10x ROI.

USAGE

How You Use It

Delivery Method
SaaSAzure Marketplace
Integrations
Microsoft AzureBMS platformsFM systemsIoT devicesRoom/desk booking systemsSmart metersEnvironment controlsOccupant interaction platforms
Disciplines
Facility Management
Workflows
Data & Automation, Operations & Facility Management
Project Phases
Operations/FM
Project Types
Commercial, Healthcare, Education, Infrastructure
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Building management system data, IoT sensor data
Optional:Room/desk booking systems, Smart meter data, Environment control system data, Occupant feedback, Historical operational data
Formats:JSON/API from BMS, MQTT from IoT devices, CSV data export, Real-time sensor streams
Output
What you get
Format:Interactive digital twin dashboard with KPI overlays and 2D/3D visualizations
Fields:Space utilization metrics, Energy consumption analysis, Occupancy patterns, Indoor air quality metrics, Building performance KPIs, Cost savings opportunities, What-if scenario results, Human behavior simulation outputs
Algorithm
How it works
Model:Proprietary AI engine with human behavior simulation and predictive modeling (specific neural network architecture not disclosed)
Accuracy:Not independently published; company claims 10x return on investment for typical customers
Privacy
How your data is protected
Retention:Project-based data retention (specific duration not publicly specified); data remains in customer account
Training:Not publicly specified; unclear if building performance data used to train global models
Compliance:GDPR compliant (per privacy policy effective March 1, 2022), Data subject rights for rectification and erasure, UK ICO oversight (Data Protection Authority), Azure data protection standards
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Portfolio-wide space utilization analysis to identify consolidation opportunities
  • ·Energy optimization and operational cost reduction (HVAC, lighting, utilities)
  • ·Occupant wellbeing and productivity monitoring (air quality, temperature, noise)
  • ·Data center and technical infrastructure capacity planning
  • ·University campus optimization (lecture hall scheduling, office utilization)
  • ·Hospital facility optimization (patient flow, department space allocation)
  • ·Post-occupancy evaluation for building performance validation
PRICING

Pricing

Free
Trial available (contact for details)
Pro
Subscription-based (12-month terms standard, other terms available)
Enterprise
Custom pricing with volume discounts and onsite installation options
Sources & Research NotesResearch date: 2026-02-01
Data Sources (9)
Fields Checked (18)
problem, solution, vendor, website, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, input-formats, output-structure, control-features, useCases, compliance, privacy-policy
Not Found (8)
fundingTotal, api-documentation, api-rate-limits, webhook-support, algorithm-architecture-details, data-retention-days, training-data-policy, accuracy-metrics
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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