I am ready for a long road flight for work with a week- or months-long projects.
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."
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."
Use Cases
Ever been annoyed by a chatbot? So have your customers
Chatbots often are the first point of contact for customers and prospective clients who want to ask a question or get assistance from your company. Unfortunately, chatbots aren’t great at reading the room – which causes frustration, lost sales, and dissatisfaction that often leads to churn.
Rather than settling for multiple-choice bots or GPT chatbots that don’t know your business or recommend your competitors, Nurdle helps fine-tune your private AI chatbot so it actually knows your products, detects purchase intent signals, and even understands when people are getting frustrated with it.
Learn more about fine-tuning data for your AI chatbots.
Rather than settling for multiple-choice bots or GPT chatbots that don’t know your business or recommend your competitors, Nurdle helps fine-tune your private AI chatbot so it actually knows your products, detects purchase intent signals, and even understands when people are getting frustrated with it.
Learn more about fine-tuning data for your AI chatbots.
Capture insights from call transcripts without violating privacy
Imagine extracting insights about your company, audience, and industry from all of your virtual meetings or customer sales calls… but without violating anyone’s privacy or being creepy.
Nurdle can scrub call transcripts of personal identifiable information (PII) while synthetically altering and augmenting them into large enough datasets for fine-tuning LLMs. This allows you to query the accumulated knowledge of every meeting you’ve ever had without using personal information mentioned in the calls that are protected by privacy laws.
Learn more about how Nurdle can make your company’s accumulated calls into a privacy-compliant data asset.
Nurdle can scrub call transcripts of personal identifiable information (PII) while synthetically altering and augmenting them into large enough datasets for fine-tuning LLMs. This allows you to query the accumulated knowledge of every meeting you’ve ever had without using personal information mentioned in the calls that are protected by privacy laws.
Learn more about how Nurdle can make your company’s accumulated calls into a privacy-compliant data asset.
Talk to your audience with the right brand voice, demographic profile, and language
Off-the-shelf LLMs all sound the same and aren’t experts in your industry. But with the right demographic-specific conversational and chat data, your marketing content, sales interactions, and emails can have the same voice as your customers – and be trained precisely on the right product and brand details of your business.
Nurdle’s data refinement can be trained on the specific age, interests, and languages (including slang) that your brand serves as well as your own product manuals, FAQs, and sales call transcripts to truly echo your brand voice.
Learn more about brand-specific copywriting AI.
Nurdle’s data refinement can be trained on the specific age, interests, and languages (including slang) that your brand serves as well as your own product manuals, FAQs, and sales call transcripts to truly echo your brand voice.
Learn more about brand-specific copywriting AI.
Learn what your audience really thinks with better data-driven customer sentiment analysis
Sentiment analysis is notoriously vague since human behavior is far more nuanced than simple positive and negative keywords.
When your customer insight models are supplemented with Nurdle’s datasets based on customer ratings, reviews, social posts, and messages, all of the unstructured comments in your brand ecosystem can be used to fine-tune models for more accurate, specific, and actionable info.
Nurdle data transforms sentiment analysis into usable insights that can show you what people are saying about your brand, and help you quickly identify problem areas to address proactively. And with Nurdle’s predictive modeling, you can create more relevant advertising campaigns that use the same keywords as your target audience based on conversational data.
When your customer insight models are supplemented with Nurdle’s datasets based on customer ratings, reviews, social posts, and messages, all of the unstructured comments in your brand ecosystem can be used to fine-tune models for more accurate, specific, and actionable info.
Nurdle data transforms sentiment analysis into usable insights that can show you what people are saying about your brand, and help you quickly identify problem areas to address proactively. And with Nurdle’s predictive modeling, you can create more relevant advertising campaigns that use the same keywords as your target audience based on conversational data.
Use a ChatGPT-like search to find any email, meeting, presentation or proposal within your company
What if you could query the text of every meeting transcript, email, pitch deck, and chat in your company’s history to find what you were looking for?
Many companies are building private LLMs with semantic search, so all the knowledge within their company is accessible on demand. But to do that, your models need to be trained with a large and diverse set of Questions and Answers so that anyone in the company can find what they’re looking for – even if they don’t know the filenames, technical jargon, or where to look for the answers.
Nurdle’s NurdleGPT LLM can be used to transform existing data into the RLHF/QA format, produce new QA datasets, and even test the quality of your existing models.
Learn more about RLHF/QA data and semantic search.
Many companies are building private LLMs with semantic search, so all the knowledge within their company is accessible on demand. But to do that, your models need to be trained with a large and diverse set of Questions and Answers so that anyone in the company can find what they’re looking for – even if they don’t know the filenames, technical jargon, or where to look for the answers.
Nurdle’s NurdleGPT LLM can be used to transform existing data into the RLHF/QA format, produce new QA datasets, and even test the quality of your existing models.
Learn more about RLHF/QA data and semantic search.
Ever been annoyed by a chatbot? So have your customers
Chatbots often are the first point of contact for customers and prospective clients who want to ask a question or get assistance from your company. Unfortunately, chatbots aren’t great at reading the room – which causes frustration, lost sales, and dissatisfaction that often leads to churn.
Rather than settling for multiple-choice bots or GPT chatbots that don’t know your business or recommend your competitors, Nurdle helps fine-tune your private AI chatbot so it actually knows your products, detects purchase intent signals, and even understands when people are getting frustrated with it.
Learn more about fine-tuning data for your AI chatbots.
Contact Us
Chatbots often are the first point of contact for customers and prospective clients who want to ask a question or get assistance from your company. Unfortunately, chatbots aren’t great at reading the room – which causes frustration, lost sales, and dissatisfaction that often leads to churn.
Rather than settling for multiple-choice bots or GPT chatbots that don’t know your business or recommend your competitors, Nurdle helps fine-tune your private AI chatbot so it actually knows your products, detects purchase intent signals, and even understands when people are getting frustrated with it.
Learn more about fine-tuning data for your AI chatbots.
Contact Us
Capture insights from call transcripts without violating privacy
Imagine extracting insights about your company, audience, and industry from all of your virtual meetings or customer sales calls… but without violating anyone’s privacy.
Nurdle can scrub call transcripts of personal identifiable information (PII) while synthetically altering and augmenting them into large enough datasets for fine-tuning LLMs. This allows you to query the accumulated knowledge of every meeting you’ve ever had without using personal information mentioned in the calls that are protected by privacy laws.
Learn more about how Nurdle can make your company’s accumulated calls into a privacy-compliant data asset.
Contact Us
Imagine extracting insights about your company, audience, and industry from all of your virtual meetings or customer sales calls… but without violating anyone’s privacy.
Nurdle can scrub call transcripts of personal identifiable information (PII) while synthetically altering and augmenting them into large enough datasets for fine-tuning LLMs. This allows you to query the accumulated knowledge of every meeting you’ve ever had without using personal information mentioned in the calls that are protected by privacy laws.
Learn more about how Nurdle can make your company’s accumulated calls into a privacy-compliant data asset.
Contact Us
Talk to your audience with the right brand voice, demographic profile, and language
Off-the-shelf LLMs all sound the same and aren’t experts in your industry. But with the right demographic-specific conversational and chat data, your marketing content, sales interactions, and emails can have the same voice as your customers – and be trained precisely on the right product and brand details of your business.
Nurdle’s data refinement can be trained on the specific age, interests, and languages (including slang) that your brand serves as well as your own product manuals, FAQs, and sales call transcripts to truly echo your brand voice.
Learn more about brand-specific copywriting AI.
Contact Us
Off-the-shelf LLMs all sound the same and aren’t experts in your industry. But with the right demographic-specific conversational and chat data, your marketing content, sales interactions, and emails can have the same voice as your customers – and be trained precisely on the right product and brand details of your business.
Nurdle’s data refinement can be trained on the specific age, interests, and languages (including slang) that your brand serves as well as your own product manuals, FAQs, and sales call transcripts to truly echo your brand voice.
Learn more about brand-specific copywriting AI.
Contact Us
Learn what your audience really thinks with better data-driven customer sentiment analysis
Sentiment analysis is notoriously vague since human behavior is far more nuanced than simple positive and negative keywords.
When your customer insight models are supplemented with Nurdle’s datasets based on customer ratings, reviews, social posts, and messages, all of the unstructured comments in your brand ecosystem can be used to fine-tune models for more accurate, specific, and actionable info.
Nurdle data transforms sentiment analysis into usable insights that can show you what people are saying about your brand, and help you quickly identify problem areas to address proactively. And with Nurdle’s predictive modeling, you can create more relevant advertising campaigns that use the same keywords as your target audience based on conversational data.
Contact Us
Sentiment analysis is notoriously vague since human behavior is far more nuanced than simple positive and negative keywords.
When your customer insight models are supplemented with Nurdle’s datasets based on customer ratings, reviews, social posts, and messages, all of the unstructured comments in your brand ecosystem can be used to fine-tune models for more accurate, specific, and actionable info.
Nurdle data transforms sentiment analysis into usable insights that can show you what people are saying about your brand, and help you quickly identify problem areas to address proactively. And with Nurdle’s predictive modeling, you can create more relevant advertising campaigns that use the same keywords as your target audience based on conversational data.
Contact Us
Use a ChatGPT-like search to find any email, meeting, presentation or proposal within your company
What if you could query the text of every meeting transcript, email, pitch deck, and chat in your company’s history to find what you were looking for?
Many companies are building private LLMs with semantic search, so all the knowledge within their company is accessible on demand. But to do that, your models need to be trained with a large and diverse set of Questions and Answers so that anyone in the company can find what they’re looking for – even if they don’t know the filenames, technical jargon, or where to look for the answers.
Nurdle’s NurdleGPT LLM can be used to transform existing data into the RLHF/QA format, produce new QA datasets, and even test the quality of your existing models.
Learn more about RLHF/QA data and semantic search.
Contact Us
What if you could query the text of every meeting transcript, email, pitch deck, and chat in your company’s history to find what you were looking for?
Many companies are building private LLMs with semantic search, so all the knowledge within their company is accessible on demand. But to do that, your models need to be trained with a large and diverse set of Questions and Answers so that anyone in the company can find what they’re looking for – even if they don’t know the filenames, technical jargon, or where to look for the answers.
Nurdle’s NurdleGPT LLM can be used to transform existing data into the RLHF/QA format, produce new QA datasets, and even test the quality of your existing models.
Learn more about RLHF/QA data and semantic search.
Contact Us
What’s the difference between real data, synthetic data and Nurdle data?
Real data is taken from the real world and is the best data out there… But it costs 300x as much as synthetic data and takes a very long time to acquire and label, which can slow AI projects to a crawl. And if you’re in a regulated industry, forget about using real user data altogether.
Synthetic data is cheap and fast, but doesn’t improve model accuracy since it’s low-quality and usually is just a bunch of random text that has no connection to the intended use cases of most projects.
Nurdle data is created by taking a kernel of real data and augmenting it to produce lookalike synthetic datasets that still performs as well as real-world data, but at a fraction of the cost and time.
Synthetic data is cheap and fast, but doesn’t improve model accuracy since it’s low-quality and usually is just a bunch of random text that has no connection to the intended use cases of most projects.
Nurdle data is created by taking a kernel of real data and augmenting it to produce lookalike synthetic datasets that still performs as well as real-world data, but at a fraction of the cost and time.
Nurdle provides datasets for your AI models within a matter of hours rather than weeks of acquiring and refining data on your own.
You’ll Get high-quality lookalike data that performs comparably to human-labeled datasets but costs 90% less.
Nurdle will find, clean, and label data for your projects so your team can focus on higher-level data science tasks.
Test your data now for free
Free data test tool you can run without sharing your data shows you clusters, data bias, label skew and likely areas of model failure in your dataset.
Better data makes better models. Faster data means less data science time.
Nurdle cuts data science time by 5x - 10x and costs 10x less than human-labeled data for similar performance. Let Nurdle do it for you.
Free Data Assessment Test
Data Sourcing, Cleaning, Labeling, Prep
Data Gap Analysis Report
Model Monitoring
Custom Lookalike Data
Testing Datasets
Seeing the label bias, data skew and natural clustering of your data can save data scientists hours (or days) trying to figure out what data they need to improve their models.
Get the tool for free here and check it out yourself!
Get the tool for free here and check it out yourself!
Stuck in the cold-start without data to get going? Or looking for data that contains low-prevalence behaviors or content? Or do you just need a bunch of random docs and content turned into usable, labeled datasets (but don’t want to pay human-labeling prices)?
Let Nurdle do it for you. You’ve got better things to do.
Let Nurdle do it for you. You’ve got better things to do.
Nurdle will test your models to figure out what data you need, then curate relevant datasets for you so you don't have to spend weeks doing it yourself.
Want to try it out? Send us a data sample, and we'll send you a free analysis within XYZ days.
Want to try it out? Send us a data sample, and we'll send you a free analysis within XYZ days.
Nurdle will monitor and maintain your AI model to ensure it remains accurate over time.
Declining performance ("model drift") is common with LLMs as words and slang change meaning or go out of style. Data scientists hate the boring job of maintaining models that they've already built, but Nurdle can do it for you and let your data science team focus on building their next big project.
Declining performance ("model drift") is common with LLMs as words and slang change meaning or go out of style. Data scientists hate the boring job of maintaining models that they've already built, but Nurdle can do it for you and let your data science team focus on building their next big project.
We use a kernel of real data to build augmented synthetic datasets that perform comparably to human-labeled data – but are created at a fraction of the price, time, and data scientist time.
All Nurdle data is compliant with privacy regulations
and tailored to your specifc use-case.
All Nurdle data is compliant with privacy regulations
and tailored to your specifc use-case.
Nurdle will create synthetic test datasets that mirror real-world interactions, which data scientists can use to gauge the quality of their models.
Our testing datasets are especially useful and valuable for healthcare, legal, government, and other industries where it's illegal to use real customer data to train AI models.
Our testing datasets are especially useful and valuable for healthcare, legal, government, and other industries where it's illegal to use real customer data to train AI models.
Nurdle Blog
Bringing technology leaders solutions to LLM, Generative AI, and data challenges through product updates, features, and tips.
LLMs
Numerous businesses are excited to release generative AI-powered applications that can provide benefits to both their employees and customers. Thanks to the widespread availability of large language models (LLMs), large language models (LLMs) has opened the doors for innovation — but with a major caveat.
Hetal Bhatt
Reading time: 13 min
10.19.2023
Pilot Program
If you’re reading this, you probably have an AI project that you want to launch or improve. And lucky you – we're looking for a few AI partners to participate in our free (!!!) pilot program so we can show the world what we can do.
Hetal Bhatt
Reading time: 7 min
10.18.2023
AI Sentiment Analysis
Understand the challenges of creating accurate sentiment analysis AI, from dataset bias to domain adaptation, and how Nurdle's solutions address these issues.
Hetal Bhatt
Reading time: 10 min
11.13.2023
Meet with one of our data experts to unlock Nurdle's scalability for data creation, preparation, and measurement
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