Transform AI Development with Scalable, High-Fidelity Synthetic Data
Leverage Unreal Engine, NVIDIA IsaacSim, and AirGen to create high-fidelity synthetic datasets—spanning diverse environments, weather conditions, and sensor types—while accelerating your AI development with privacy-safe, scalable simulations.
Overview
Collecting and annotating real-world data is costly, time-consuming, and often limited by scarcity, privacy concerns, and the difficulty of capturing edge cases. Our synthetic data solution overcomes these hurdles. Powered by Unreal Engine 5, NVIDIA Isaac Sim, and AirGen, we generate Photorealistic, High-Fidelity synthetic datasets without the need for real-world data collection tailored for:
- Computer Vision & Perception AI
- Autonomous Vehicles & Drones
- Robotics & Industrial Automation
- Smart Cities & Geospatial AI
Integrated with the GRID platform and AirGen, our synthetic data solutions offer scalable, privacy-compliant, and cost-effective simulation-based data generation that eliminates real-world collection costs, ensuring perfectly labeled datasets with full environmental control., accelerating AI training while ensuring accuracy and efficiency.
Key Features of Our Synthetic Data Generation
Photorealistic Data Generation
- Unreal Engine 5 & Omniverse for high quality images/video from virtual environments with dynamic lighting and weather conditions.
- Virtual Georeferenced Environment Data Generation from virtual Environments and generating data on actual locations.
- Domain randomization – Vary textures, lighting, and backgrounds automatically.
Multi-Sensor Data Sync
- Multi-Sensor Data Sync – Ensures synchronized sensor outputs for precise AI training.
- RGB + Depth – Generates perfect stereo camera data for depth estimation.
- LiDAR/Radar – Simulates realistic point clouds with real-world noise profiles.
- Thermal/IR – Creates paired multimodal datasets for infrared and thermal imaging.
- Barometer & GPS – Provides altitude, atmospheric pressure, and geo-location tracking.
- IMU & Magnetometer – Captures accelerometer, gyroscope, and magnetic field data for orientation estimation.
- Distance Sensor – Emulates ultrasonic sensors for object distance measurement.
Automated Ground Truth
- Pixel-perfect labels – Instance segmentation, 3D bounding boxes, keypoints.
- Metadata export – JSON, COCO, YOLO, TFRecord formats.
- Anomaly injection – Add rare defects (cracked sensors, occlusions).
Scenario Engine
- Simulate edge cases – Poor lighting, extreme weather like rain, fog, dust, snow, motion blur, slow motion.
- Physics-based interactions – Object collisions, liquid splashes, deformations, explosions, water buoyancy.
- Human AI – Diverse poses, clothing, and activities, animations.
Domain Adaptation Tools
- GAN refinement – Bridge reality gaps with style transfer.
- Test-time augmentation – Validate model robustness.
- Real-world calibration – Match sensor noise/color profiles.
Implementation Steps for Synthetic Data Generation
Here is our 7-step implementation framework to ensure a seamless and efficient synthetic data generation.
Industries & Use Cases
Autonomous Vehicles & Mobility
Smarter factories with predictive maintenance, optimized production, and…
Autonomous Vehicles & Mobility
Use Cases:
- Perception Training – Simulate rare scenarios (e.g., pedestrians at night, extreme weather)
- Sensor Fusion – Generate time-synced LIDAR/camera/radar datasets
- Safety Validation – Test edge cases (e.g., sensor failures) without real-world risk
Robotics & Automation
Model cities in motion—plan better, reduce traffic, and respond faster to emergencies…
Robotics & Automation
Use Cases:
- Industrial Robots – Train pick-and-place systems with synthetic objects
- Drones – Simulate package delivery in wind/rain conditions
- Surgical Robots – Practice procedures on synthetic anatomy
Defense & Aerospace
Power smarter—from grid simulation to renewable optimization and asset monitoring…
Defense & Aerospace
Use Cases:
- Satellite Imagery – Simulate terrain/objects for reconnaissance AI
- UAV Training – Practice missions in GPS-denied environments
- Classified Scenarios – Replicate sensitive locations virtually
Retail & Smart Cities
Revolutionize care with patient-specific twins, smart hospitals, and accelerated…
Retail & Smart Cities
Use Cases:
- Cashierless Stores – Train on synthetic shopper behavior
- Traffic Management – Simulate pedestrian/vehicle flows
- Surveillance AI – Avoid real CCTV privacy issues
Agriculture
Boost safety and readiness through flight simulations, performance…
Agriculture
Use Cases:
- Crop Monitoring – Simulate disease/weed variations
- Harvesting Robots – Train on synthetic fruit/vegetable datasets
- Terrain Analysis – Generate 3D farm models
Manufacturing
Accelerate innovation with autonomous training, virtual crash tests, and smarter…
Manufacturing
Use Cases:
- Defect Detection – Create synthetic product flaws
- Digital Twins – Simulate factories for predictive maintenance
Why WalkingTree for Synthetic Data Generation?
Deep Simulation Expertise
Leverage our years of experience in delivering immersive simulation solutions across industries, backed by Unreal Engine and NVIDIA Omniverse. We craft realistic, scalable, and interactive environments that mirror operational realities.
AI-Powered, Customizable Training
Our proprietary GRID platform, integrated with AirGen, enables dynamic, data-driven scenario generation for personalized training. This ensures your operators are not only trained but mission-ready for real-world challenges.
Sensor & Hardware Integration Mastery
We simulate multi-sensor environments—LiDAR, thermal imaging, GPS—and offer custom controller support, enabling a seamless transition from virtual training to real-world operation.
Flexible Deployment & Scalability
Our training solutions are cloud-ready, edge-compatible, and on-premise deployable, allowing you to train anytime, anywhere, at scale. From startups to global enterprises, our platform adapts to your growth.
End-to-End Support & Innovation
We offer full lifecycle support—from simulation design and deployment to operator certification and continuous improvement. Our innovation-first approach ensures cutting-edge technologies are constantly leveraged for client success.
