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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 raised 📈 Growth 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 This Tool Exists

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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.

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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.

How You Use It

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Delivery Method

SaaS Azure Marketplace

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Integrations

Microsoft Azure BMS platforms FM systems IoT devices Room/desk booking systems Smart meters Environment controls Occupant interaction platforms

Disciplines

Owner/Developer, Facility Management

Project Phases

Operations/FM

Project Types

Commercial, Healthcare, Education, Infrastructure

Data Transparency

Exactly what this tool uses and how

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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

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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

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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

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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

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

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

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

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (9)

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Verified Data (18)

problem, solution, vendor, website, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, input-formats, output-structure, control-features, useCases, compliance, privacy-policy

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Not Found (8)

fundingTotal, api-documentation, api-rate-limits, webhook-support, algorithm-architecture-details, data-retention-days, training-data-policy, accuracy-metrics

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.