Real-time defect detection powered by synthetic training data
Perfect labeling eliminates human error
Generate millions of images in days
Simulate any defect with precision
You're responsible for quality, but you're constantly held back by data problems.
You can't train a model to find a defect it has never seen.
Traditional data collection isn't just inefficient; it's a barrier to achieving true quality control.
Synthetic data is the breakthrough your quality program needs. We create a digital twin of your product and its manufacturing environment. From there, we can generate a virtually infinite library of computer-generated, 100% accurate training data.
It's not just "fake" data. It's a photorealistic simulation of your reality, giving you complete control to create the exact scenarios your AI needs to learn from—without ever stopping your production line.
Generate a complete dataset for a new product before it even hits the production line. Train your models in parallel with product development.
Train your AI on every conceivable variation of lighting, angle, material texture, and shadow, teaching it what's a real defect vs. what's just noise.
Eliminate the massive operational costs and man-hours required for manual data collection, photography, and annotation.
Create thousands of examples of rare, subtle, or complex defects to train models that achieve near-perfect accuracy and recall.
When a new defect appears, simply model and generate new data in hours, not weeks. Keep your AI constantly improving without downtime.
From concept to deployment in three simple steps. Get the perfect training data for your computer vision models without the traditional bottlenecks.
Eliminate human error in data annotation. Our physics-based simulation ensures 100% accurate labels for every defect type, giving your AI models the precise ground truth they need to excel.
Generate millions of training images in days, not years. No more waiting for real defects to occur or manually capturing edge cases. Scale your dataset to match your ambition.
Simulate rare defects, extreme lighting conditions, and unusual product variations that would take years to collect naturally. Train robust models that handle real-world complexity.
Skip expensive data collection, manual annotation, and multiple revision cycles. Get production-ready training data at a fraction of traditional costs.
Launch your computer vision solutions months ahead of schedule. Perfect training data means fewer iterations, faster convergence, and quicker time-to-market.
Access defect scenarios your competitors have never seen. Build AI models with capabilities that set new industry standards for quality control.
Share your specific defect detection requirements, including your product type, common defects, and quality standards. We'll work with you to understand the unique challenges of your manufacturing process.
Our physics-based simulation engine generates thousands of photorealistic images featuring your exact defect types. We can even work from your 3D CAD model if you have one. Every image is perfectly labeled and ready for machine learning training.
Use our synthetic data to train computer vision models that achieve higher accuracy in less time. Deploy with confidence knowing your AI has seen every possible defect scenario.
Automated visual inspection is critical wherever perfection is the standard. Symage provides the essential data for a wide range of applications.
Identifying surface imperfections, weld defects, and composite material flaws where safety and performance are non-negotiable.
Detecting microscopic defects on PCBs, silicon wafers, and integrated circuits that are impossible for the human eye to see consistently.
Ensuring the integrity of sterile packaging, verifying pill and capsule quality, and inspecting medical implants for life-or-death compliance.
Guaranteeing label placement, checking for packaging damage, and ensuring product consistency to protect brand image.
Finding molding flaws, surface scratches, color inconsistencies, and structural weaknesses in raw materials and finished goods.
Spotting foreign contaminants, verifying seal integrity, and ensuring quality standards to meet safety regulations and maintain consumer confidence.
Symage's physics-based simulation engine can be adapted to virtually any manufacturing or quality control scenario.
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