Our Unique Value Proposition


Improving ML models

Machine Learning models are constantly improved through training via high-quality datasets. The amount of data used to train a model, influences the subsequent improvement of the model’s prediction capabilities. We enable Machine Learning companies to improve their models faster, enabling them to be more competitive and lead their markets segments through: Diversity: access to geographical distributed multilingual Tasqers Reliability: ability to leverage multiple judgments for higher confidence Scale: simultaneous, online, unbiased workforce In short - by using a global, multilingual network of labelers, we solve the issue of fairness in AI.

Get to production faster

We accelerate the data annotation process and create higher quality datasets, faster. In turn, you can train your Machine Learning models, reach precision levels and get to production... faster than ever before.

Dynamic data enrichment

Adding additional layers of information to existing datasets is fast and seamless with our data enrichment solutions. Ongoing projects are incremental, supporting the growth of meta-data growth and details over time. Simply upload your data and enrich existing datasets with ease. No time wasted, no need to start from scratch.

Limitless reach:

A global, digital marketplace of Tasqers

What is a Tasqer?
A Tasqer is an online consumer with profiled, superior cognitive capabilities, incentivized to task or label at high quality.”
What’s so special about Tasqers and why are they different (and better) than BPOs?
Work When They Want to
More productive and accurate than overworked BPOs on minimum wage.
Work for content and rewards of personal value.
Instant & Scalable
No bottlenecks, no limit on access or reach.
Trained & Preselected
Cognitive ability-based training and task distribution for faster, higher quality results.
Automated consensus/quality controls for pinpoint precision.
Tasqers are global, multilingual, and multi- cultural.
Profiled for Excellence
Assigned work based on individual strengths, capabilities.

From Our Data Labeling Experts

Apr 25 | 2022

Artificial Intelligence Bias Escape

AI holds huge potential for facilitation, but it also supplements negative outcomes if data scientists don’t recognize ...
Mar 30 | 2022

The Challenge of Developing Unbiased AI Systems

The Challenge of Developing an Unbiased AI As AI models become a greater part of the digital industrial revolution, it has be...
Mar 25 | 2022

Long data cut off

The term data catalog could be described as a detailed inventory of all data assets within the organization, designed in orde...