Synthetic Text Data for Content Moderation Classifier Models

Custom 100% privacy-safe fine-tuning data in days, not weeks

Cold-Start Datasets to Start Your AI Project

DeBiased & Diversified Datasets for Better Performance

Low-Prevalence Datasets to Fine-Tune for Edge Cases

Scale your Trust & Safety team’s coverage with more accurate AI

Detect high-risk content such as Toxic, CSAM, radicalization and hate speech

Synthetically generated from 100s of TBs of real chat and posts spanning nearly every kind of content

Improve detection accuracy in over 40 languages plus L33tspeak

Detect More Behaviors

Cover More Content

Better Accuracy Worldwide

for languages like Spanish, Russian, German, French, Japanese, and Portuguese. Asian languages coming soon.

including coverage in slang, l33tspeak, emojis, & more.

including CSAM, child exploitation, profanity, bullying and grooming data.

including spammy or deceptive language patterns, such as phishing attempts, scam messages, or fraud.

to prepare for the expected increase in online abuse during the upcoming election.

Explore Nurdle's Datasets for Trust & Safety Use Cases

Nurdle Datasets Trained Spectrum Labs' Content Moderation Classifiers

Nurdle's custom synthetic datasets improved the accuracy of Spectrum Labs content moderation classifiers for high-risk behaviors with low-prevalance datasets, keeping billions of users safe online.

Justin Davis

Co-Founder and CEO

"Nurdle has been used for 6 years by Spectrum Labs to parse billions of online human interactions.

We've used Nurdle data to moderate content for Riot Games, Grindr, The Meet Group, Together Labs, and other gaming, dating, and social media platforms."

See How it Works

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