The sophisticated platform for text annotation.
Use CasesExtract information and gain valuable insights form a vast corpus of text-based data. Understand and interact with text to improve search relevance, automate customer support and more.
Extract structured text information from unstructured or semi-structured content.
Document Processing
Topic Modeling
Product Cataloguing
Policy Enforcement
Understand text inputs, then generate appropriate responses.
Search and Ad Relevance
Question Answering (Virtual Assistants)
Sentiment & Intent Analysis
Content Summarization & Moderation
Automatically translate text inputs into different languages.
Automated Translation
Automated Transcription
Dialogue Generation
Speech to Text, Text to Speech
How It WorksBuild models you can trust while maximizing operational efficiency and reducing the cost of ML projects.
Named Entity Recognition
Classification
Multi-lingual Transcription
Multi-lingual Data Collection
"Please label any people, places, or organizations in the following text."
client.*createNamedentityrecognitionTask*({
callback_url: 'http://www.example.com/callback',
instruction: 'Please label any people, places, or organizations in the following text.',
params: {
text: "They were delighted by the Hilton's location: surrounded by vibrant nightlife, and in close proximity to major landmarks in Paris. And as luck would have it, Paris Hilton happened to be staying in the room next door!",
labels: [
{
name: 'T_ORG',
display_name: 'Organization',
},
{
name: 'T_LOC',
display_name: 'Location',
},
{
name: 'T_PERS',
display_name: 'Person',
},
]
},
}, (err, task) => {
// do something with task
});
Tech-enabled quality assurance systems built into the product to reduce costly human review without sacrificing quality. Customers are also provided transparency in regards to quality with a QA tool and dashboard metrics.
Scale Text combines confidence-based consensus and balanced dataset curation to reduce bias and to surface ambiguities early. For more on how we mitigate bias, take a look at our blog post.
A large, globally distributed workforce of highly trained labelers gives Scale Text the flexibility to support multiple languages, regional context and unique expertise.
Enterprise ReadyGet started today with on-demand, or chat with us about an enterprise plan.
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
Each enterprise customer is paired with a dedicated engagement manager who will ensure smooth on-boarding and continued data delivery.
Enterprise engagements provide upfront and volume-based discounts, and is the most cost-effective solution for high-quality labels. Plus with Scale AI, there are no platform fees.
Quality AssuranceML-accelerated, human-in-the-loop data annotation for industry-leading quality.
Text tasks submitted to the platform combines confidence-based consensus and balanced dataset curation to reduce bias and surface ambiguities early. All tasks receive additional layers of both ML-based checks and human review based on the quality confidence scores.
The resulting accuracy is consistently higher than what a human or synthetic labeling approach can achieve independently.
CustomersScale Text is trusted by leading machine learning teams to develop more accurate models.
