Artificial Intelligence

AI is an area which has become a part of our lives. For AI companies, it is critical to keep evolving the technologies.

In order to do that, data labeling is a critical part of the process. Data labeling takes 50-80% of time of the entire AI development process.

The models need to be trained to interpret the data from various forms like image, voice notes, or texts, among many other forms of data. Only after labeling the data, the machines can learn and evolve. Most of the times, the AI technologies need to be updated with correct/updated version of data. Which is why, data labeling is critical or integral part of the technology evolution process. Here’s when we help AI companies with our expertise in data capturing/labeling, data tagging and data validation. We deliver the data ready for the model to trained.

eCommerce Challenge 1

Not enough people

According to a survey, 23% of AI companies don’t have people to label the data. They feel it is better worth of their team’s time than they working on data capturing, data tagging, etc.

eCommerce Challenge 2

Lack of expertise

Per MIT Sloan Management Review, 55% of AI teams do not seem to have the expertise of working on data, specific to the project, accurately.

eCommerce Challenge 3

Budget

26% of AI Projects seem to face budget constraints if data labeling done in-house.

We take care of all your admin so you can focus on building client relationships:

The answer to these challenges is in adding an offshore team who can perform your operational, back-office tasks at 1/2 the cost, freeing you up to drive business outcomes such as improving operational efficiencies, adopting new technologies and increasing the bottom-line.

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  • Text Annotation
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  • Gesture and Expression Annotation
  • Image Annotation and Tagging
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Let us improve your business!

Our expert team is ready to serve industry best out-sourcing solution to quicken your business process. Contact us to know more about our different services, which can be helpful for your business.

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