View all our industries

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Drone Imagery

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Autonomous Vehicles

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Agriculture

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Sports, Media & Entertainment

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Retail

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This is how we do it

Values and Benefits

Quantity
SCALE
SPEED

Complete transparency & full control

The Tasq.ai robust data annotation platform with AI assisted tools, enables Data Science and ML teams to enjoy clear visibility & transparency of the Data at all stages and full control for the Quality, Scale and Cost parameters of the projects.

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1597659267872

Don’t just take our word for it…

"Tasq.ai's unique solution enabled us to collect dynamic judgments from a massive, diverse crowd in an extremely cost effective way, faster than any other solution we evaluated."
  • Yair Adato, PhD.
  • CTO, Bria, ex Trax Retail
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Don’t just take our word for it…

"We've worked with several companies on computer vision annotation tasks and we found the Tasq.ai team as the best in supporting us with vast knowledge and experience in the field."
  • Tzvi Jacobs
  • Operations Manager, Agroscout
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Don’t just take our word for it…

"Tasq.ai is our solution of choice when it comes to complex data annotation. Its innovative micro-tasking workflow approach allowed us to set up a fully functional and highly customized tagging pipeline with minimal setup time and outstanding results."
  • Vlad Streltsin
  • Algorithm Engineer, Supersmart

From Our Data Labeling Experts

Image Annotation for Machine Learning
Jan 31 | 2023

The Importance of Image Annotation for Machine Learning

Machine learning (ML) is the branch of Artificial Intelligence (AI) and Computer Science that attempts to simulate how humans...
NLP Labeling
Jan 24 | 2023

NLP Labeling: What Are the Types of Data Annotation in NLP

Natural Language Processing (NLP) is an area of artificial intelligence that focuses on helping computers understand, interpr...
Automated Content Moderation
Jan 17 | 2023

Automated Content Moderation Benefits and Types

The Internet has become a second home for a lot of people. A lot of them post their life on social media platforms as well as...