Create high-quality training datasets for LLM fine-tuning and RLHF using an open-source collaboration platform designed for AI engineers and domain experts.
DataVLab
Power machine learning models with precision-led data labeling services covering 3D LiDAR, video, and GenAI to help AI teams scale production-ready datasets.
Paid only
Price not published
About DataVLab
DataVLab is a French deeptech company specialized in providing high-quality data annotation services designed to power advanced artificial intelligence and machine learning models. Established in 2019 and headquartered at Station F in Paris, the firm combines sophisticated AI-driven automation with human-in-the-loop expertise to deliver datasets with high precision. By leveraging custom-built tools, the company claims to accelerate the labeling process up to ten times faster than traditional manual methods. Their service offerings are extensive, ranging from standard 2D image bounding boxes and polygons to complex 3D LiDAR point cloud segmentation, video object tracking, and specialized alignment for generative AI models. The tool’s workflow is structured around a five-step professional service model that ensures consistency and quality. It begins with project definition and scoping, followed by a sampling and calibration phase where guidelines are refined through small-scale annotations. Once the main annotation phase is underway, professional annotators use AI-assisted tools to increase efficiency while maintaining accuracy. A rigorous quality assurance process follows to review each dataset against specific project requirements before the final delivery. This structured approach allows the company to handle complex computer vision tasks and large-scale enterprise projects with a focus on technical excellence and reliable data output. DataVLab is primarily designed for AI researchers, machine learning engineers, and product teams across a wide spectrum of industries. It caters particularly well to sectors requiring high-domain expertise, such as medical healthcare for diagnostic support, autonomous mobility for LiDAR perception, and agriculture for crop analysis. The company also supports the emerging needs of Generative AI teams through instruction tuning and evaluation services. By focusing on ethical outsourcing, DataVLab positions itself for organizations that prioritize transparent processes and fair working conditions within their data supply chain. What distinguishes DataVLab from generic labeling platforms is its deep roots in European deeptech and its history of innovation, including recognition from the European Space Agency. Unlike crowdsourced platforms that may suffer from inconsistent quality, DataVLab uses industry-trained annotators who provide domain-specific knowledge for specialized fields like aviation, maritime surveillance, and geospatial mapping. Their ability to handle multimodal sensor fusion and structured document understanding makes them a comprehensive partner for companies moving beyond simple image classification into complex, multi-sensor environments.
DataVLab pros & cons
Pros
- Accelerates labeling speed up to 10x faster using AI-assisted automation.
- Supports complex 3D LiDAR and point cloud annotation for autonomous mobility.
- Provides free sample annotations to demonstrate quality before commitment.
- Maintains ethical outsourcing standards with fair working conditions for annotators.
- Deep domain expertise in specialized fields like medical AI and space technology.
Cons
- Pricing is not transparent and requires a custom quote for every project.
- No self-service platform available for users who want to label data independently.
- Project timelines are variable and dependent on manual review for high complexity.
- The physical headquarters is limited to a single location in Paris, France.
DataVLab use cases
- Autonomous vehicle engineers can outsource 3D LiDAR and sensor fusion labeling to build more accurate perception systems for self-driving cars.
- Medical researchers can utilize domain-expert annotators to label diagnostic imagery for clinical AI models with high anatomical precision.
- Logistics managers can implement automated warehouse tracking by requesting video annotation for object tracking and incident detection.
- LLM developers can improve model alignment through custom GenAI annotation solutions focused on instruction tuning and evaluation.
- Infrastructure managers can detect defects in power grids or wind turbines by processing annotated aerial imagery from drone inspections.
DataVLab features
- human-in-the-loop quality control
- ai-assisted annotation tools
- ethical data labeling practices
- multimodal sensor fusion support
- genai instruction tuning and evaluation
- ocr and document ai processing
- video object tracking and temporal segmentation
- 3d lidar and point cloud labeling
DataVLab pricing
Is DataVLab free? No, DataVLab doesn't offer a free plan.
Custom Quote
Price varies
- Free sample annotation
- AI-assisted labeling workflows
- Custom annotation formats
- Dedicated QA and assurance
- 3D LiDAR and point cloud support
- Video object tracking
- GenAI instruction tuning
- Ethical outsourcing standards
DataVLab FAQs
What types of data can DataVLab annotate?
DataVLab supports a wide range of data types including images, videos, text, and audio files. They also specialize in complex formats like 3D LiDAR point clouds and multimodal sensor fusion data.
How long does the annotation process take?
Timelines depend on the volume and complexity of the dataset. While smaller projects can be completed in a few hours or days, larger projects are assigned a specific timeline during the scoping phase.
Can I see the quality of work before starting a full project?
Yes, DataVLab provides free sample annotations upon request. This allows potential clients to evaluate the precision and style of labeling before committing to a larger contract.
What annotation techniques are supported for computer vision?
The service supports bounding boxes, polygons, semantic segmentation, keypoints, and temporal segmentation for video. They also offer LiDAR cuboids and point cloud segmentation for 3D projects.
Does DataVLab support Generative AI models?
Yes, they offer specialized GenAI solutions including instruction tuning, model alignment, and multimodal generation evaluation to help train reliable large language models.
Ratings & reviews
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