
Data validation and review
We evaluate and moderate AI training content for relevance and quality, as well as minimize the risk of unwelcome bias.

The challenge
Data validation is essential for ensuring the quality of not only the training data, but also the performance of any AI solution.
It is arguably the most important step in machine learning. Without proper validation, poor data can infiltrate your model, corrupting the entire process. For that reason, exhaustive QA checks are crucial, not only for accuracy, but also for relevance, appropriateness and proper optimization.

The solution
We carefully select the right experts for your AI needs, ensuring that the data used to train your ML model is of the highest quality, and also represents the cultural, linguistic and geographic nuances of your AI project.
Talk to us to find out moreBenefits

All file formats
We collect data in all file formats, for any AI application. From text to audio, image and video, we sift and collect exactly the files that are optimal for efficient training.
All file formats
Full scalability
Accurate data
Security
Cost-efficiency
All-in-one solutions

Let’s talk about you
Ensure your training data meets your high standards. Reach out today to learn more.
Contact usRelated services

Data collection and generation
Anywhere in the world, for any data type – text, audio, image and video – we can acquire the content you need for AI training.
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Data annotation and labelling
Our certified experts deliver the highest quality of transcription, annotation and classification so that you can rapidly train and fine-tune your AI models.
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