A Revolution in
Visual Data Labeling

TASQ-web_7.png
TASQ-web_10.png
TASQ-web_25.png

Micro-Tasqing™

TASQ-web_10.png

We revolutionized the process of outsourcing data labeling! Our Unique methodology ...

TASQ-web_24.png

Machine Learning

TASQ-web_10.png

Tasq.ai has implemented Machine Learning capabilities into our workflows to enhance our human Tasqers annotations  ...

TASQ-web_26.png

Tasqers

TASQ-web_10.png

Our Tasqers are curated and qualified high cognitive global online individuals who specialize in Visual Labeling ...

TASQ-web_12.png

|  Trust your Data. 

Transparency is one of our core values and is reflected in our Platform. We appreciate that your Data is valuable so we developed the Tasq Platform so that you will be able to view it continuously throughout all of the labeling processes it's going through.
TASQ-web_19.png

Transparency

Tasq’s unique workflows enable the segmentation of complex sceneries into simplified micro tasks, allowing the human Tasqers to label vast volumes in the most attractive and affordable prices on the market. We have built it to reduce expenses for all Customers at any scale!

Affordable

TASQ-web_18.png
The competitive environment that we live in requires us to create High Quality datasets at speed & scale to keep up pace. The Tasq Platform was designed for scale, enabling Data Science teams to receive back thousands of high quality annotated images daily. The speed comes from our huge amount of Tasqers and our unique WorkFlows that break the complex Data into simplified micro-tasks to be annotated simultaneously.

Scale

TASQ-web_29.png
Considering Machine Learning algorithms improve by the amount of High Quality datasets that they are trained against, companies that target to deploy Artificial Intelligence applications successfully, need to label millions of objects over time. Quality is achieved from our precise innovative annotation tools, our simplified micro-tasks approach and from receiving more judgements for less costs.

Quality

TASQ-web_30.png

|  Verticals