Find out about its label bias, clustering, skew, and more…
Save hours of time figuring out what data you're missing with Nurdle's free data-testing app. Run locally or in Google Collab without sharing your data.
Details Here
Use Custom Nurdle Datasets for
Text & Intent Classifiers
Low-Prevalence Data (Accuracy)
Train models to detect customer satisfaction, sentiment, regulatory risk, personal information or pretty much any behavior that can be communicated when one person writes something to another.
Build large datasets of hard-to-find low-prevalence data to improve model accuracy with more diverse data that covers more obscure queries and use-cases.
Nurdle provides synthetic unstructured text data that looks like - andperforms like - real human-generated, human-labeled data, but it’s 100% privacy-compliant and generated on demand at a fraction of the cost.
Near-human level accuracy at a fraction of the price
92% Performance at 40% Cost
Why Nurdle?
75% less data science hours
wasted on data sourcing, curation, cleaning and preparation for labeling. Using Nurdle frees up data scientists to do data science.
Nurdle handles the tedious work that data scientists hate and helps them get the data they need faster.
Don’t waste data science time on data prep
4x Less Data Scientist Hours
Data Preparation for Labeling
Data Scientist Hours
We know data scientists are a skeptical lot, so here’s the details on what we did.
1: We had 7500 rows of human-generated chat data labeled by humans. In this case, because insults are funny and humans are uniquely creative at making them, we asked the humans to label each chat message as "insult" or "not insult".
2: We then loaded this sample of labeled data into NurdleGPT, our 2nd generation Lookalike Data generator as well as two well-known 1st generation synthetic data generators.
3: We analyzed all of the results for precision and recall with experienced data labeling teams.
Want to see a sample of what each platform produced (they're pretty funny, but there is some NSFW copy in there). Click Here.
How Nurdle can Help
Cold Start Datasets
Get your project off the ground with the custom dataset you need to start model building and iteration.
No data? No problem. If you can specify what you need we can make it.
You’ve got data... but who can afford to clean and label it? Problem solved.
Got lots of data but notallowed to use it? Nurdle data mimics yours and is 100% privacy-compliant.
Intent Detection - From Fraud to Upsell Opportunity
Intent classifiers turn noise into signal, making important communications – from fraud and trust & safety risks to purchase intent and upsell opportunities – visible and actionable at scale.
Labeled datasets for your specific use-case and product moat... without sourcing or labeling data.
Scale the number of clients and prospects your team can serve – without adding headcount – using better intent detection.
Train models to detect banking & insurance fraud, medical complaints, and other risks without using real data so you’re 100% compliant.
Classifier models are only effective if they’re accurate - which is usually limited by the quality, diversity and quantity of labeled training data. Hence, Nurdle.
Ask for a Data Gap Analysis to see what data you’re missing - and we’ll fill in the blanks.
If your classifiers are over-fit to a narrow training dataset they’re not detecting what you need. We can fix that.
Get de-biased, diverse, use-case and edge-case specific datasets that make your AI production-ready.
Save hours of time figuring out what data you're missing with Nurdle's free data-testing app.
Find out about its label bias, clustering, skew, and more…
Run locally or in Google Collab without sharing your data.
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."