Smart Spatial Simulation & Synthetic Data Engine
Use Smart Spatial platform to create fully personalized 3D simulation environments and generate high-fidelity synthetic visual data. Build AI training datasets, test operational scenarios, and visualize edge cases — all with configurable environments, objects, and behaviors. Accelerate AI model development and simulation-based planning across industries.
Flexible Deployment
3D Environment Engine
Industry-Ready Simulation
Synthetic Data Generation
Customizable Scenes
Automated Data Labeling
AI/ML Integration
Generate Better Data
- Generate visual datasets safely and cost-effectively
- Train AI models on rare, dangerous, or hard-to-capture scenarios
- Fill real-world data gaps and eliminate annotation errors
- Eliminate privacy or safety concerns during model training
Improve Model Performance
- Improve model generalization, accuracy, and fairness
- Reduce time-to-train and data acquisition bottlenecks
- Empower rapid testing cycles and continuous model improvement
Optimize Real-World Outcomes
- Enable cross-department testing and simulation planning
- Replicate and optimize operational scenarios before real-world rollout
Who It’s For
Smart Spatial’s Simulation & Synthetic Data Engine is ideal for teams building AI/ML models, planning facility operations, designing camera-based systems, or preparing for edge-case scenarios
Manufacturing & Industrial
Transportation & Infrastructure
Warehousing & Logistics
Smart Buildings & Retail
Energy & Utilities
Healthcare & Hospitals
Construction & Engineering
Smart Cities & Public Safety
Defense & Aerospace
Simulation Goals We Support You Achieve
AI & Vision Model Training
- Deliver clean, labeled, and diverse data at scale
- Simulate complex edge cases not present in real datasets
- Enhance generalization by varying light, occlusion, and camera angles
Operational Scenario Testing
- Create digital replicas of your facilities for simulation
- Test various response scenarios and asset behaviors
- Improve planning and mitigation strategies before rollout
Camera Planning & Optimization
- Simulate camera placement with various lenses, models, and coverage fields
- Evaluate coverage, occlusion, and optimal positioning for specific vision use cases
- Generate synthetic data per camera configuration to validate system performance
Custom Environment & Object Control
- Define layout, lighting, time-of-day, object count, and agent behavior
- Inject randomness and variation into training sets
- Use custom prompts to expand and personalize simulations
How It’s Used – Example Applications
Tunnel Safety AI
Generate synthetic video of road tunnels with lost cargo or dropped objects (e.g., cones, boxes, suitcases). Vehicles partially occlude the objects, lighting varies by scene, and assets are placed naturally as in real-world incidents. The simulation feeds annotated footage directly into ML pipelines to train and validate vision-based safety detection models.
Camera Planning & Placement Optimization
Simulate camera placement and coverage in complex environments to plan optimal configurations for vision-based systems. Teams can test camera locations, angles, lenses, and model selection virtually before physical installation:
- Digitally replicate environments such as warehouses, tunnels, retail spaces, or transportation hubs.
- Simulate camera behaviors (field of view, focal length, lens distortion).
- Visualize coverage heatmaps and occlusion zones.
- Generate synthetic test data for each configuration to pre-train or validate AI models.
Factory Inspection Training
Simulate manufacturing floors with variable machinery layouts, lighting conditions, and types of product defects. Used to build training datasets for AI models identifying surface issues, process bottlenecks, or equipment failures.
Retail & Smart Building Analytics
Create shopping environments with randomized product placements, foot traffic patterns, and lighting scenarios to simulate checkout behavior, people counting, and shelf monitoring.
Success Stories
See how businesses are leveraging Smart Spatial to create innovative, efficient, and sustainable building solutions — faster than ever
How We Work
01.
BIM to Twin
In this phase, Smart Spatial Team ingests the BIM Model (REVIT, IFC etc.) of a site and/or equipment, and creates a digital replica of the asset with high fidelity 3D materials.
The asset is placed in a digital world accessible across desktop, mobile and VR with fully interactive navigation such as Fly mode, Walk mode, and one-click navigation to any pre-set views.
Benefits:
The Model is immediately accessible to Sales and Marketing staff to facilitate Virtual Tours, enable true-to life demos, and produce still and video collateral for campaigns. The interactive model can be showcased at trade-shows and events. The model is also useful to the Operations team in reducing on-site vendor visits by facilitating a digital site walk-through, and remote collaboration.
02.
Data Ingestion
In this phase, we identify and integrate the key telemetry and operational systems into the twin environment. Systems can include: BMS, EMS, CMMS, DCIM, FDD/Analytics, Access Control etc.
Benefits:
A synchronized digital twin with data driven geometry enhances operational activities and provides a single source of truth/single pane of glass for multiple operational systems.
The instant availability and multi-device accessibility enables operational excellence on site and in remote (NOC) setting.
The Spatial awareness improves new employee training and ongoing equipment maintenance.
03.
Use Case Applications
In this phase, the team is free to choose various use cases to implement in the virtual environment to extend its usefulness across various business functions. Use cases may include:
Expanding the model to extreme equipment detail down to the nuts and bolts, drastically improving maintenance efficiency.
Adding Flow & Fluid physics enables the model to show air, liquid, and power flows.
Adding custom Training scenarios and walk-throughs.
Adding Simulation to show what-if scenarios, with a “DVR” type capability to go back and forward in time.
Adding 1-click custom views such as show all cable trays, show networking, show all firebreak walls, etc.
Benefits:
With the fundamentals done: (Model and Data), the environment can be infinitely and rapidly enhanced to tackle very specific and unique use cases with minimal effort.
