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AI Tech Suite
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DataCat

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About

DataCat is an AI tool designed to simplify classification tasks. Launched in 2017, it enhances text classification using a scalable tech stack and large language models such as GPT-3.5, GPT-4, and various embeddings for AI solutions. It offers multiple use cases, including data labeling, customer segmentation, sentiment analysis, resume screening, and harmful content detection. Users can upload CSV files for automatic labeling, iterating on labeling results and accessing swift APIs for integration. With a focus on ethical AI practices, DataCat is equipped to handle high-volume data processing efficiently. It provides extensive documentation and supports custom solutions, making it ideal for entities aiming to leverage AI in text classification and knowledge management.

Platform
Web
Keywords
machine learningnlpdata labelingtext processingai classification
Task
data classification
Features

• api integration

• sentiment analysis

• custom model training

• customer segmentation

• ai-powered data labeling

• iterative data refinement workflow

• harmful content detection

• resume screening

• scalable text classification solutions

• support for multiple large language models

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