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90
Accuracy
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Cost saving
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Time reduction
On This Page:
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  • Overview
  • Data Pricing
  • Data Reviews
  • Competitors
  • Learn More
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bitext Pricing & Cost

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bitext Reviews

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About bitext

Learn more about bitext’s data sources, use cases, and integrations.

bitext in a Nutshell

bitext is a data provider offering . They are headquartered in United States of America.

Headquarters
USA

Data Offering

Use Cases

Bitext specializes in providing advanced linguistic technology and synthetic data generation to address various industry-specific challenges. Our focus areas encompass a wide range of applications, each tailored to enhance AI and NLP capabilities across different sectors. Here are the primary use cases where Bitext excels:

  1. Customer Service Automation
    Chatbots and Virtual Assistants:
    Enhancing chatbot training with high-quality synthetic dialogues.
    Improving natural language understanding (NLU) for better customer interactions.
    Sentiment Analysis:
    Generating labeled datasets to train models for detecting customer sentiment and emotions.

Certifications & Associations

Logo of IAB Europe GDPR Transparency & Consent Framework certification

Integrations

Logo of AWS Data Exchange integration
Logo of Databricks Marketplace integration

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Frequently asked questions about bitext

What does bitext do?

Bitext has been providing NLP/NLG data services to 3 of the top 5 companies on NASDAQ for the last 10 years.

What data does bitext offer?

DAL: Automation Tools for Data Annotation and Labelling We provide custom Data Annotation and Labeling (DAL) services for (Generative) AI. We focus on the automation of human annotation, building custom Human-in-the-loop (HITL) pipelines to improve data annotation speed and quality with custom software applications. A few examples:

What are the best use cases for bitext’s data?

Bitext specializes in providing advanced linguistic technology and synthetic data generation to address various industry-specific challenges. Our focus areas encompass a wide range of applications, each tailored to enhance AI and NLP capabilities across different sectors. Here are the primary use cases where Bitext excels: Customer Service Automation Chatbots and Virtual Assistants: Enhancing chatbot training with high-quality synthetic dialogues. Improving natural language understanding (NLU) for better customer interactions. Sentiment Analysis: Generating labeled datasets to train models for detecting customer sentiment and emotions.

What platforms is bitext integrated with?

AWS Data Exchange and Databricks Marketplace