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TU Dublin Quotes

Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Quotes
TU Dublin
Kyle Hamilton

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

Trusted by ML Professionals

FAQs

Do I need to commit to a long-term contract or a minimum monthly volume?

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Not at all. We offer three flexible pricing options:

Short-term for one-off projects like academic research
On-demand for seasonal projects when you need additional workforce
Long-term for a streamlined data annotation workflow

If you use our platform, we’d only ask you to top up your balance by at least $100 after the free trial.

What is your pricing?

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Please use our cost calculator on the pricing page to get the approximate cost. For the exact cost, we’ll need to run a free pilot on your dataset.

When can I start the free pilot?

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As soon as you apply for it, we’ll analyze your dataset and start preparing the pilot results. Please make sure to add the dataset link in the submission form to speed up this process. On average, it takes up to a week to complete the pilot and present our solutions along with costs.

Do you work with our labeling tools?

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Absolutely! We’re flexible with any tools you want us to work with: commercial, open-source, or your custom tools.

How can I trust you with my confidential data?

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Our company is registered in the US and operates under its laws. We’re also compliant with these data regulations:

PCI DSS Level 1
ISO:27001
GDPR
HIPAA

After we sign the NDA, we make sure to anonymize your data for our employees to prevent any data leaks.

Why should I choose to work with you?

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Our customers choose us because of six unique advantages:

  1. No commitment. We don’t require minimum monthly volumes or annual contracts to be signed. You decide to pay us only after you experience our services firsthand for free.
  2. Flexible pricing. We offer different pricing models such as per labeled object or per entry hour. You pick the one that makes the most financial sense to you.
  3. Tool-agnostic. We do not force you to work with a single tool and are ready to learn your tool.
  4. Data compliance. We tick off all the security checkboxes for sensitive data processing.
  5. AWS bonuses. We offer discounts and cashbacks for our customers who use AWS infrastructure.
  6. Promoting academic research. If you plan to publish your research, we can place it for free in our weekly ML digest (example).

Should I use your data annotation platform or apply for the pilot?

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We recommend starting with our platform if you have a simple computer vision dataset. There, you can upload it, write down the annotation instructions, and send it for a free task. After the free task, we’ll ask you to top up your balance and begin labeling your data. Inside, you can leave comments on accuracy and keep creating new tasks for the datasets. You’ll be notified when a task is completed. The platform is a streamlined solution.

If you have a sensitive dataset and would like to sign agreements like an NDA first, then it would be better to apply for the pilot. After your submission, we can email each other and get on calls to sharpen the data processing.