Better AI with human-verified data labeling and annotation

Train your machine learning algorithms using data annotated and validated by both humans and algorithms for best results.

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Our data annotation capabilities

NLP and voice data

Use our service to annotate and validate speech data for voice recognition (ASR), voice assistants, chatbots, and conversational AI.

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Multilingual labeling

As one of the few global data providers in the world, we enable you to access languages from people across the world speaking 100+ different languages.

Off-the-shelf datasets

Gain competitive advantage by improving and expanding your machine learning models by using our premade datasets for speech recognition and voice assistants.

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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 rapidly scale to any language.

We also include multiple levels of algorithmic and heuristic validation to ensure that the data is labeled correctly up to 100% accuracy depending on project type.

FIND OUT MORE ABOUT OUR DATA LABELING METHODS

SPEED

Cut the time you spend on data in half

Over 80% of the time that goes into a machine learning project is spent on data. By using our unique technology to access over 110 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.

FIND OUT HOW WE HELP CUSTOMERS TO SAVE TIME

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
Principal Ink Technologist at Wacom

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

CHECK OUT OUR NLP CAPABILITIES

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