Build better AI with our human-verified data labeling and annotation

Train your algorithms using our data that is 10% more accurately labeled data than the market leaders. Each annotation is verified by 3 - 5 different humans to provide an inter-annotator agreement.
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Receive your labeled data 50% more quickly

Multiple data types
Within NLP, we annotate speech, audio, text, and handwriting data. Our capabilities are intent, transcriptions, sentiment, classifications, OCR, and NER.
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Multilingual
As one of the few data providers in the world, we enable you to access languages from people across the world speaking 40 different languages.
Rapid scaling
Once we understand the specific needs of your project, we can rapidly scale up our services to hundreds of millions of data points.
ACCURACY

100% human-verified
data labeling

Accurate data labeling is what makes your machine learning model perform properly. To ensure accuracy for your project, all the data our crown labels is 100% verified by humans. Our breakthrough technology allows us to use up to five people to verify the results at no additional cost to you.

We also include multiple levels of algorithmic and heuristic validation to ensure that the data is labeled correctly. This leads to an average 10% higher accuracy rate than benchmarket market leaders.
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SPEED

Cut the time you spend on data in half

In our experience, over 80% of the time that goes into a machine learning project is spent on data. By using our unique technology to access over 10 million people, you cut that time in half and save a lot of the headache that goes with it.

Security and privacy risk is also a time-consuming element in most projects. We are one of the only fully GDPR compliant data service providers in Europe, and we encrypt your data with military grade protocol.
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WACOM VALUES STATEZERO’S LABELING AGILITY

Wacom improves their understanding of handwriting using AI

Wacom provides cutting-edge digital ink solutions for their partners who use or produce smartphones, tablets and digital stationery. They needed an AI partner who could use Wacom’s own data model for describing the contents of digital ink.

StageZero collected and labeled complex digital handwriting samples, including notes, drawings and scientific formulas. The resulting datasets are authentic and diverse and help develop the next stages of AI automation in the digital ink space.
“Handwriting is very individual, also in a digital context, and we use it to communicate very diverse information like text, math, doodles, and diagrams. Wacom values StageZero’s dedication to respect data privacy (GDPR), their deep understanding of machine learning, and their agility in exploring new kinds of data labeling challenges.”
Dr. Markus Weber
Senior Ink Technologist

Hear from our customers

Small start-ups to global enterprises choose StageZero time and time again for standalone projects and ongoing co-oporation.
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Need quality training data for your AI projects?
Contact us now to discuss your requirements and questions with an expert. Typically we’ll set up a 30-minute call to go over everything together before getting this show on the road!
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DATA CREATION AND COLLECTION
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