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Current challenge: Data preparation and engineering tasks represent over 80 of the time consumed in AI projects.

How we create a win-win situation: The company focuses on the methodologies and tools we ensure that their data is properly annotated, augmented, structured, and ready for deployment.

Our solution:
- Data structuring is an operationally and technically complex task. We build an end-to-end solution, maximising efficiency gains for the customer. No overhead costs for managing different specialised service providers.

- We focus on technically scalable solutions that are designed to support customers from design to production. Only a substantial improvement in quality of data structuring will allow real AI applications to be brought into production, reducing costs and thus democratising machine learning.

- We offer a Swiss quality solution standard for AI applications, with a dedicated focus on data privacy & compliance, which are crucial for success in Europe.

Keywords

data annotation, data structuring, artificial intelligence, data augmentation, computer vision, lidar, natural language processing, synthetic data generation, machine learning, deep learning, data labelling

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10
2020
Not Available

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