DataVLab helps companies train better AI models with high-quality data annotation services across computer vision, NLP, and multimodal use cases. The agency labels images and video, annotates text, and processes audio to create clean datasets. Founded in 2019, DataVLab serves startups to enterprise clients.
DataVLab is a data annotation and labeling agency founded in 2019, headquartered in Paris, France. The agency helps companies train better AI models by providing high-quality data annotation services across computer vision, NLP, and multimodal use cases. DataVLab employs under 49 people and requires clients to inquire about minimum budgets and hourly rates.
The agency specializes in labeling images and video with bounding boxes, polygons, segmentation masks, keypoints, and tracking. It also annotates text for classification, sentiment, named entity recognition, and intent, and processes audio through transcription and speaker labeling. These services create clean datasets that improve model performance.
DataVLab lists AI Development as a core service and Data Annotation as an area of expertise. The agency serves clients in the AI, corporate services, and software and IT services industries. Client types range from startups and small businesses to medium businesses and enterprise or corporate organizations.
No Google reviews are available for DataVLab on its DesignRush profile. The agency does not have any listed client testimonials or ratings from external platforms. Its profile emphasizes the quality and breadth of its annotation capabilities rather than past client feedback.
DataVLab's portfolio is not detailed on the profile, but the agency showcases sample images related to geospatial and agricultural use cases. These examples suggest experience in applying annotation to specialized domains. The agency's focus remains on delivering clean, labeled datasets for AI training.
Services
- AI Development
- Data Annotation
Industries Served
Team Size
Pros
- Provides high-quality data annotation for computer vision, NLP, and multimodal use cases.
- Serves a range of client sizes from startups to enterprise.