Smart labelling of unstructured data is key to success for many AI projects.

Data labelling is a costly and error-prone task that consumes a significant part of an AI project. By turning this task into an efficient process, you can focus on strategic initiatives and increase the success rate of your AI projects. Our end-to-end approach enables seamless industrialization of the labelling process and thus facilitates bringing AI projects from PoCs to the production stage.

Our solution brings three components:

Annotation platform: Easy to use labelling interface coupled with robust quality management for text, images, videos and sounds, available as a SaaS or on-premise solution.
Labelling service: Scalable workbench of SMEs with required skills and domain expertise combined with specialized methodology.
AI labelling automation: Pretrained ML models and specialized methodologies (active learning, online learning, weakly supervised learning) combined with powerful APIs for automation.
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Benefits for you:

Industrialization of labelling process (up to 90% automated)
Up to 55% increase in business productivity
High quality and cost-efficient annotation process
Unlocking value in industry-specific use cases
Facilitating AI projects' transition from pilot to production

Our experts are ready to guide you from POV to MVP to production, oversee the deployment of automatized data labelling solution into your business pipelines and help you to unlock productivity by combining the best of human and automated labelling.

We have more than 20 customers in Insurance/Finance, Manufacturing, Telcos, Pharma, Public and Other Services. Interested? Contact us!

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Atos || End-to-end Data Labelling Solution

作者 Atos International SAS