Synthetic Data Generation Service
A dedicated synthetic data and curation service that fills data gaps, eliminates manual labeling, and accelerates AI inspection readiness. We generate photorealistic, auto-labeled datasets that help your models learn reliably even when defects are scarce.
What This Synthetic Data Service Includes
Our Synthetic Data Generation & Curation service enables manufacturers to build robust AI inspection models without relying on large, manually curated datasets. For teams constrained by limited data, rare defects, or the high cost of labeling, synthetic data provides a scalable and accurate path forward. By eliminating manual labeling and expanding the dataset with high-quality, highly varied samples, we accelerate the training process and help your inspection models achieve stronger accuracy and generalization from day one.
Fill Data Gaps with a Clear Defect Taxonomy
We assess your existing data, identify gaps, and define a structured defect taxonomy. This is ideal for manufacturers facing limited datasets, rare defects, or inconsistent documentation.
Photorealistic, Auto-Labeled Synthetic Data
Our proprietary engine generates realistic images that match your inspection environment: covering lighting, material texture, and defect variations. Every sample is automatically labeled with pixel-perfect masks and metadata.
Zero Manual Labeling & Better Model Generalization
Manual annotation is eliminated entirely. By simulating thousands of realistic defect scenarios, we help your AI models generalize faster and perform more reliably in real-world conditions.