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Synthetic Training Data & Sim-to-Real Validation
Secure, localized synthetic data generation and spatial validation services based in A Grid, Otaniemi, Espoo. We construct sensor-accurate, physically based synthetic datasets to reduce the domain gap for machine perception and reinforcement learning models before real-world deployment. Accelerate model convergence and eliminate the bottleneck of manual data collection with pixel-perfect ground truth annotations.
Core Capabilities
Sensor-Accurate Simulation: We render beyond standard RGB. We simulate physics-based light paths, X-ray attenuation, and acoustic sonar propagation to match your exact hardware specifications.
Domain Randomization: We utilize procedural generation and parametric modeling to create infinite permutations of lighting, textures, and environmental clutter, ensuring your models are robust against real-world variance.
Automated Annotation: Datasets are generated with deterministic accuracy, outputting perfectly aligned bounding boxes, segmentation masks, depth maps, and keypoints.
Spatial Validation (AR): Integrate high-fidelity CAD assets into real-world coordinates with exact scaling, perspective, and lighting for in-situ R&D validation and spatial computing testing.
Non-Destructive Testing & X-Ray Simulation
Technical Validation Study: Demonstrates internal density simulation and multi-class dataset generation. We modeled 12 exact bullet geometries and varied the internal gunpowder volume to train computer vision models for security screening. This eliminates the safety risks and logistical costs of handling live ordnance for data collection.
Acoustic Simulation & Procedural Environments
Technical Validation Study: Demonstrates macro-scale domain randomization for Autonomous Underwater Vehicle (AUV) perception. We generated infinite procedural seabed topologies and populated them with naval mine models. The pipeline outputs mathematically perfect, automatically annotated datasets (bounding boxes and segmentation masks) directly from the simulation.
The Production Workflow
1. The Input: You deliver raw engineering data, 2D schematics, or preliminary specifications.
2. The Constraint: We secure the pipeline. Unreleased intellectual property is protected through strict, defense-grade data handling.
3. The Methodology: We utilize deterministic ray-tracing, physics-based light paths, and precise kinematic solvers to construct the visual asset.
4. The Business Outcome: You receive geometric-fidelity assets that reduce iteration cycles and eliminate unnecessary physical prototyping rounds.
Security & IP Protection
Protecting your unreleased IP is our baseline.
1. GDPR Compliant: All customer data is processed and stored locally within secure European borders here in Finland.
2. Air-Gapped Processing: We utilize offline workflows to prevent network-based IP leaks for highly sensitive engineering files.
3. Non-Generative Pipeline: Your proprietary CAD data is never uploaded to public AI engines or used to train third-party models.
ACCELERATE ENGINEERING VALIDATION
Stop wasting internal engineering hours simplifying geometry. We translate your native CAD into secure, physics-accurate assets to reduce iteration cycles and validate concepts before physical prototyping.
