G2 Vendor Directory

Lang.ai vs. SAS Visual Text Analytics

A side-by-side comparison based on G2 review data.

MetricLang.ai

by Lang.ai

SAS Visual Text Analytics

by SAS Institute

Overall rating4.94.6
Review count2464
Ease of use9.39.2
Ease of setup9.28.1
Quality of support10.08.6
Meets requirements9.19.3
NPS95.45454585.964912
Small Business17.4%20.3%
Mid-Market65.2%7.8%
Enterprise17.4%71.9%
Total page views4870
Total LLM citations11018

Lang.ai

Lang.ai is a no code service automation platform that empowers customer support teams to build AI models that they can directly control to improve and automate critical support processes. We seamlessly integrate into Zendesk and Salesforce and take the tedious and manual tasks out of agents’ hands so they can focus on what is most important, the customer. Our customers are leveraging Lang for the following use cases and with our plug and play technology they’re up and running in 48 hours with no model training and maintenance required.

Pros

    SAS Visual Text Analytics

    SAS Visual Text Analytics is a comprehensive solution designed to extract valuable insights from unstructured text data by leveraging natural language processing (NLP), machine learning, and linguistic rules. This powerful tool enables organizations to efficiently process large volumes of textual information, uncover hidden patterns, and make data-driven decisions. Key Features and Functionality: - Text Mining and Contextual Extraction: Automatically identify and extract key terms, phrases, and concepts from text data, facilitating a deeper understanding of the content.

    Pros

    • Modeling
    • User Interface
    • Scalability