DataSpan provides a self-serve platform for automated visual inspection in production lines. It connects visual inspection datasets using plug-and-play data connectors for secure streaming from on-premises or cloud sources. The platform generates synthetic data with GenAI diffusion models that resemble real-world scenarios, including common and edge cases. Users refine this data interactively via an intuitive LLM interface incorporating domain knowledge. Existing workflows train and validate models on the augmented data to boost accuracy. Differentiation includes self-serve access without professional services, high data quality from advanced filtering techniques, and specialization in industrial defect detection for quality assurance and predictive maintenance.
Competitive Advantages:
Reduces error rates by up to 90% compared to other deep-learning methods.
Shortens data acquisition from years to days.
Produces diverse synthetic data quickly, such as 5,000 high-variance images in days for model optimization.
Enables setup in hours without line stoppage.
Requires existing defect datasets to generate synthetic data.
Depends on user-provided domain knowledge for data refinement.
Limited to industrial visual inspection workflows.
*Price last updated on Feb 17, 2026. Visit dataspan.ai's pricing page for the latest pricing.
