Bridge the Data Gap in Machine Vision AI
Your inspection system is only as strong as the data it's trained on. Prime Studios delivers digital twin synthetic datasets that replicate your inspection environment — camera, lighting, materials, and defects — with photorealistic precision.
Request a Consultation →Why Real-World Data Isn't Enough
Even the best machine vision platforms struggle when training data falls short. Common gaps include:
Rare and Corner-Case Defects
Critical defects that almost never appear in production but could cause catastrophic failures.
Costly or Impossible Samples
Creating defective samples for high-value parts is expensive and often impractical.
Environmental Variation
Changes in lighting, surfaces, reflections, or backgrounds that affect detection accuracy.
Inconsistent Annotations
Missing or poorly labeled data for subtle defects that require expert knowledge.
Domain Mismatch
Differences between controlled lab conditions and messy production environments.
The result: inspection models that fail when reality gets messy.
Our Solution: Digital Twin Synthetic Datasets
We carefully craft digital twins of your parts and inspection environment, replicating real-world conditions with VFX-grade rendering. Each dataset is engineered to:
Supplement Real-World Data
Generate rare defects and controlled variations that are impossible to capture naturally.
Perfect Ground Truth Annotations
Deliver pixel-perfect segmentation, labeling, and defect classification data.
Close the Domain Gap
Ensure your AI performs reliably in production, not just in controlled lab environments.
With nine years of aerospace machine vision experience, Prime Studios combines engineering precision with Hollywood-level realism.
High Level of Control
See how synthetic datasets provide precise control over training data generation
Drag the divider to reveal ground truth annotations
Proven Results
Real-world impact across industries using synthetic training data
Learn more about the quantitative benefits of synthetic training data
Download White PaperPerformance Comparison
Measurable improvements in AI model performance metrics
| Metric | Real Data Only | Real + Synthetic Data |
|---|---|---|
| Precision | 77.46% | 82.56% |
| Recall | 58.06% | 61.71% |
| Mean Average Precision | 64.50% | 70.37% |
| F1 Score | 0.662 | 0.705 |
Source: Prime Studios White Paper on Synthetic Training Data Benefits
Technologies We Work With
Our datasets integrate seamlessly into your workflow:
Commercial Vision Platforms
- Cognex VisionPro
- Cognex In-Sight
- MVTec Halcon
- NI Vision
Custom ML Frameworks
- PyTorch
- TensorFlow
- Keras
- scikit-learn
- OpenCV
No matter what vision platform or ML framework you use, we deliver the missing defect data your AI needs.
See the Difference
Explore our synthetic bearing dataset - the same object rendered with different data channels for comprehensive AI training
RGB Image
Object Mask
Depth Map
Segmentation
Surface Normals
Defect Ground Truth
Multiple data channels from a single synthetic object provide comprehensive training data for robust AI models.
Who We Serve
We specialize in industries where defects are rare, parts are valuable, and reliability is mission-critical:
Medical Devices & Biotech
Implants, surgical tools, prosthetics
Aerospace & Defense
Precision components, composites, turbine blades
EV & Batteries
Cell inspection, contamination detection, specialty fasteners
Semiconductors & Electronics
Wafers, micro-components, advanced packaging
Luxury Goods & Watches
Micro-defects in surfaces and movements
Renewable Energy
Solar panels, turbine blades, structural parts
Frequently Asked Questions
Contact Us
Prime Studios LLC
26632 Towne Centre Dr Ste 300
Foothill Ranch, CA 92610
United States