Featured Case Study
Digital Twins for Smart Cities
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Partner
- Sector Smart City & Urban Development
Smart Cities
ROI & Business Impact
Improvement in overall city efficiency
15-25%
Reduction in total energy consumption
20-30%
Reduction in operational costs
20-40%
Reduction in emergency response times
30-50%
Investment Recovery
- Typical payback period: 12-18 months
- Ongoing operational savings compound annually
Challenges
Smart City
Traffic Congestion & Mobility Issues
Inefficient traffic management and public transportation systems causing gridlock and reduced quality of life for citizens
Energy Infrastructure & Sustainability
Aging energy infrastructure and increasing demand for sustainable energy solutions across urban environments
Public Safety & Emergency Response
Complex coordination requirements for emergency services and public safety across diverse urban areas and populations
Citizen Services & Digital Governance
Fragmented city services and limited citizen engagement in digital governance and urban planning processes
- Average city wastes 40% of energy due to inefficient infrastructure management
- Poor Emergency response co-ordination increases the response time by 35%
Smart city operational costs can be reduced with IoT & Digital Twin
Why Digital Twins
Substations
Operations
Integrate data from multiple sources - traffic systems, IoT sensors, utility networks, public services, and citizen feedback - into a single, interactive 3D platform.
Decisions
Real-time simulations allow teams to test scenarios, predict infrastructure failures, and respond proactively to urban planning and citizen service challenges.
Costs
Reduce reliance on reactive maintenance and enable predictive strategies that extend infrastructure life and optimize city operational costs.
Scalability
User-friendly interfaces reduce training time and scale seamlessly with evolving smart city needs and digital transformation initiatives.
Solution
For Smart Cities
Combining 3D, IoT, and AI on a patented no-code web application for creating digital twins that serve as cognitive assistants
- City Systems Data
- AI/LLM Data
- Traffic Data
- Video Feed
- Historical Data
- IoT/Smart Sensors
- Assets/ERP
- City Systems Data
- AI/LLM Data
- Traffic Data
- Video Feed
- Historical Data
- IoT/Smart Sensors
- Assets/ERP
Immersive 3D Command Control
Monitor entire smart city operations in an interactive 3D environment, updated with AI-driven real-time data for proactive decision-making.
AI-Driven Predictive Maintenance
Identify and prevent issues before they arise with AI that continuously learns and predicts potential risks for infrastructure, utilities, and critical city systems.
Dynamic Performance Optimization
Leverage advanced analytics and dashboards to reduce chokes, optimize resource allocation, and achieve peak operational performance.
Scenario Simulation
Harness AI-powered digital twins to simulate emergency scenarios, urban planning tests, and citizen service management with unmatched accuracy.
Sustainability Intelligence
Optimize energy consumption, reduce waste, and meet ESG goals with AI-enhanced sustainability insights and automated compliance reporting.
High Performance Without Infrastructure
Web-based platform delivers seamless performance without GPU servers, saving costs while maintaining scalability across all devices.
Our USP
Mass Accessible Digital Twins
| Traditional Solutions | Our Breakthrough | |
|---|---|---|
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Accessibility Barrier
|
Siloed Solutions
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Browser Application
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Creation complexity
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Requires 3D Designers/ Developers
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No-code platform
|
|
Hardware requirements
|
GPU Servers ($250k-$750k)
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No GPUs or heavy servers needed
|
|
Deployment time
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6 to 9 Months
|
6 to 9 Weeks
|
|
Device limitations
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PC/Desktop or specific hardware
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Access on any device
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|
Technical dependencies
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Constant IT support required
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Self-service platform
|
|
Annual pricing per twin
|
$100k-$1M
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$25k-$80k
|
Features (1/4)
Benefits of Digital Twins for Smart Cities
Infrastructure Health Monitoring
- Infra uptime
- failure rates
- maintenance costs
- Asset lifespan
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Description
Real-time monitoring of critical city infrastructure, such as bridges, roads, water systems, and public facilities, using IoT sensors and monitoring systems.
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Business Impact
Improved infrastructure reliability, reduced maintenance costs, and optimized asset management.
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Key Elements
IoT sensor data, infrastructure monitoring feeds, historical performance data.
Predictive Maintenance of City Assets
- Predicted vs Actual Failures
- MTTR
- Maintenance Cost Savings
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Description
Develop AI-driven predictive models to anticipate infrastructure, utility, and public facility failures, enabling proactive maintenance
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Business Impact
Reduction in unplanned outages and maintenance costs while extending asset life.
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Key Elements
Historical failure logs, maintenance records, operational data from city management systems.
Traffic Flow and Mobility Optimization
- Traffic flow efficiency
- Congestion reduction
- Mobility efficiency
- Public transport utilization
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Description
Real-time monitoring and optimization of traffic patterns, public transportation, and mobility services across the urban environment.
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Business Impact
Reduced traffic congestion, improved mobility, and enhanced citizen satisfaction.
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Key Elements
Traffic sensor data, public transit information, mobility pattern analytics.
Features (2/4)
Benefits of Digital Twins for Smart Cities
Energy Management & Smart Grid
- Remote monitoring
- Energy Efficiency
- Grid Stability
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Description
Monitor and simulate city-wide energy consumption and smart grid operations to optimize energy distribution and sustainability.
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Business Impact
Increased energy efficiency and reduced operational costs, improving overall city sustainability.
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Key Elements
Smart meter data, energy consumption patterns, renewable energy integration.
Public Safety & Emergency Response
- Public Safety Scores
- Response Time
- Incident resolution
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Description
Real-time coordination of emergency services integrated with city-wide safety systems and response protocols.
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Business Impact
Improved emergency response times, enhanced public safety, and better crisis management.
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Key Elements
Emergency service data, safety system feeds, incident response metrics.
Waste management & environment service
- Collection Efficiency
- Environmental Impact
- Service quality scores
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Description
Use AI to optimize waste collection routes and environmental services based on real time data and predictive analytics.
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Business Impact
Improved service efficiency and reduced environmental impact
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Key Elements
Waste collection data, environmental sensors, service schedules.
Features (3/4)
Benefits of Digital Twins for Smart Cities
Water and Utility Management
- Water Quality
- Resource Conservation
- Utility Efficiency
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Description
Monitor and simulate water distribution, wastewater treatment, and utility services to optimize resource management.
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Business Impact
Improved utility reliability and enhanced resource conservation.
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Key Elements
Water system data, utility consumption patterns, infrastructure monitoring.
Real Time City Operations Dashboard
- City operations MTTR
- Operational KPIs
- User satisfaction
- Response Times
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Description
Provide a unified dashboard integrating data from all city systems for real-time operational decision-making.
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Business Impact
Improved operational transparency and faster response times to city issues
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Key Elements
Data feeds from existing systems, KPIs for city performance.
Urban Planning and Development
- Planning Accuracy
- Development Efficiency
- Impact assessment quality
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Description
Use simulations to plan urban development projects and assess impact on city infrastructure and services.
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Business Impact
Enhanced urban planning and improved development outcomes
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Key Elements
Planning data, development impact assessments, zoning information.
Features (4/4)
Benefits of Digital Twins for Smart Cities
Smart Buildings and Facilities Management
- Facility Efficiency
- Occupancy optimization
- Energy Savings
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Description
Provide integrated management of public buildings and facilities with real-time monitoring and optimization capabilities
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Business Impact
Improved facility efficiency and reduced operational costs.
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Key Elements
Building management data, occupancy patterns, energy usage
Tourism and Cultural Heritage Management
- Visitor satisfaction
- Tourism revenue
- Availability rate
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Description
Use city data and AI to optimize tourism services and cultural heritage site management for visitors.
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Business Impact
Enhanced visitor experience and improved tourism revenue.
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Key Elements
Tourism data, visitor patterns, cultural site information.
Digital Governance and Citizen Engagement
- Engagement Rate
- Service Adoption
- Citizen Participation
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Description
Analyze citizen engagement patterns and service usage to optimize digital governance and citizen participation.
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Business Impact
Improved citizen engagement and enhanced democratic participation.
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Key Elements
Equipment placement data, maintenance access patterns, facility layouts.
Business Model
Smart Cities Digital Twin
| Feature | Basic | Plus | Pro |
|---|---|---|---|
|
Application Complexity
|
Low
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Medium
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High
|
|
Level of Detail
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LOD2
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LOD3
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LOD4
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|
Workflows
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4
|
10
|
no limit
|
|
Viewer Access
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1 User
|
5 Users
|
10 Users
|
|
Editor Access
|
1 User
|
2 User
|
3 Users
|
|
Heatmap view
|
Yes
|
Yes
|
Yes
|
|
Real time IOT integration
|
Yes
|
Yes
|
Yes
|
|
RBAC
|
-
|
Yes
|
Yes
|
|
Alerts & Notifications
|
-
|
Yes
|
Yes
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X-Ray View
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-
|
-
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Yes
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Simulated Data Integration
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-
|
-
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Yes
|
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Custom Branding
|
-
|
-
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Yes
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AI/LLM Integration
|
-
|
-
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Yes
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3rd Party API Integration
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-
|
-
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Yes
|
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One-Time Cost for Process Twin Sandbox
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-
|
-
|
-
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Sandbox Development Duration
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3-4 Weeks
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4-6 Weeks
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6-9 Weeks
|
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Process Twin Platform Price (per month)
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$750
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$1500
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$3000
|
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Additional Viewer License (per month)
|
-
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$100
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-
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Additional Editor License (per month)
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$500
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Implementation Approach
Pilot / POC
Discovery, Design, Integration (Weeks 1-3)
- Current state assessment, use case prioritization and ROI analysis
- Feasibility report and digital twin implementation plan
- Digital twin architecture design
- Data pipeline establishment and system integration
- Initial 3D model creation and validation
Development, Deployment (Weeks 3-6)
- Phased rollout starting with priority use cases
- User training and change management
- Performance monitoring and optimization
- 3D digital twin application publishing for multiple platforms
- Role-based access and control for digital twin usage
Training, Handover, Roadmap (Weeks 7-9)
- Knowledge transfer and documentation
- Additional use case implementation
- Advanced analytics and AI model deployment
- Continuous improvement and feature enhancement
- Expansion to additional terminals/facilities
Media Mentions
Substations
Tracxn
Top 10 Digital Twin Startups in India
Forbes
Forbes Asia 30 Under 30
Shark Tank
Featured in S02E28 – “Game Changers”
USPTO
US Patent Granted till 2035
GATES
Best Innovation Award (2024)
TechCrunch
Featured in TC NoCode/IoT Startups
Technology Architecture
Digital Twin Platform
Explore How a Digital Twin Can Boost Your Operations
