Business Problems That AI Data Services Solve

It's all about doing things right. The better the data you collect, validate and annotate, the better models and applications you build. You want to collect, validate and label correctly and efficiently. Not to have to discard 40% of your data and spend 80% of your time doing something else than you signed up for.

What Can We Do For You?

data-annotation

Data
Annotation

Labeling data can be tricky. The key is to streamline the management of quickly growing labeling operations.

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data-validation

Data
Validation

If your solution is not scalable or customizable, it's probably because your AI data quality evaluation has weak spots. 

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data-collection

Data
Collection

Even if you annotate correctly, efficiently and at a steady pace, if you've collected poor-quality data, you'll get nowhere.

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How ATL's AI Data Services
Help You Overcome Common Challenges

No more manual and slow processes

Do more by using
the same resources
and save money

Find balance between quantity and quality

Switch from an inefficient model and get more control

Get detailed insight into your data and team performance

Improve communication
and get more flexibility

Shorten time to create a dataset

Increase the number
of models

Provide high-quality
results in many languages

All your AI data

projects under one roof

Feels Like The Right Fit For You?

Let's Talk