Image-text pairs and synthetic data pipelines.
Overview
What is generative AI data?
Generative models need vast quantities of high-quality paired data. We build image-text pairs, multimodal corpora and synthetic data pipelines with safety filtering and quality scoring at every stage.
A diffusion or vision-language model is only as good as its caption-image alignment and safety filtering. Weak captions and unfiltered data produce weak, unsafe models.
Dense, contextual captioning for diffusion model training.
Balanced datasets across artistic styles and visual domains.
NSFW, copyright and quality screening on every asset.
Human-evaluated alignment and image-quality scores.
Workflow
How we do it
- 01Dataset design
Define modalities, distributions, style coverage and safety requirements.
- 02Data collection
Gather raw images, text, audio or video from licensed and approved sources at scale.
- 03Caption & annotation
Expert creators write detailed, contextual captions with attribute and style metadata.
- 04Safety filtering
Multi-layer NSFW, copyright and quality filtering removes unsuitable content.
- 05Delivery
Model-ready datasets with metadata, quality scores and full documentation.
Case study
Build a 10M image-text pair dataset with safety filtering
Licensed data pipeline with dense captioning and multi-layer content filtering.
Ready to get startedwith generative AI data?
Tell us about your project and we will scope a pilot within 48 hours.