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DATA CLEANING & MACHINE LEARNING SOLUTIONS

 
 

Outsource your data and machine learning workflows to top talent around the world through our simple SaaS platform

 
 
  • Data Annotation

  • Content Moderation

  • Data Categorization & Classification

  • Automated Data Collection & Scripting

 

 

HOW IT WORKS

 
 
1.

Request: Submit your Project Estimate

 
2.

Budget: We will provide a sample of data tasks performed with a budget estimate per entity/task that you can approve. You select your payment plan

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3.

Delivery: We select the best team to fit your needs, we run QA and we deliver results for you

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Here is what our Customers Say

Some of our 350+ Customers

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Any DS/ML professional knows how much of a headache it can be to get high-quality labeled data. There are plenty of offerings in this space, and yet as a Series B startup, none of them are quite the right fit for us. On the one hand, you can spend $10k with one of the large providers to get 100,000 labels for a single project (a volume which we would never realistically need). On the other hand, you can bring everything in-house and have more flexibility, but now it's someone's full-time job to manage data labelers, and that has its own costs. And forget about trying to farm tasks out to MTurk, if you're solving complex problems that require any amount of care and attention.

Odetta meets us right at that Goldilocks zone in between the three: with Odetta, we have tight communication loops and fast iteration, can get data labeled for a wide variety of challenging tasks, and get our data back in time to meet deadlines. And importantly, we know our annotators are paid fairly for their work.

- Charlene C., Data Scientist at Primer.ai

 

We were very happy with the engagement, with the positive results from sessions where we trained the annotators and with the accuracy of the annotations.

- Cliff M., CTO of Ditto

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I am very happy with Odetta's data team and found them to be very client-focused. The work they did has helped us really move forward on understanding the underlying data we've been working with and beginning the process of improving our services.

- Douglas C., Data Scientist of Fluxx

 

Fast delivery of working code and responsiveness. Most liked: fiddly scraping and configuration details were taken care.

- Mike P., Head of Data Science at Roofstock

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