What is viable?
Viable is an advanced AI-powered analytics platform designed to help businesses extract actionable insights from qualitative data, such as customer feedback, support tickets, and survey responses. By leveraging natural language processing and machine learning, Viable automatically categorizes, summarizes, and analyzes unstructured text, enabling teams to understand customer sentiment, identify trends, and prioritize improvements without manual effort.
Key features include automated theme detection, sentiment analysis, and customizable dashboards that visualize key metrics. Viable integrates seamlessly with popular tools like Zendesk, Intercom, and Salesforce, allowing for real-time data ingestion and analysis. The platform supports multiple languages and can handle large volumes of data, making it suitable for enterprises with diverse customer bases.
Benefits of using Viable include significant time savings—reducing the hours spent manually reading and tagging feedback—and improved accuracy in identifying critical issues. Teams can quickly spot emerging problems, measure the impact of product changes, and track customer satisfaction over time. Use cases range from product management, where insights drive roadmap decisions, to customer success teams that proactively address at-risk accounts.
Technically, Viable employs state-of-the-art transformer models for natural language understanding, ensuring high accuracy in topic classification and sentiment scoring. The platform offers robust APIs for custom integrations and provides secure data handling with SOC 2 compliance. Pricing is based on usage, with tiers for startups, mid-market companies, and enterprises, ensuring scalability. Viable is ideal for any organization looking to make data-driven decisions from customer conversations.
Use Cases
Key Features
automated theme detection sentiment analysis customizable dashboards real time data ingestion multi language support trend identification customer sentiment tracking seamless integrationsWho is it for?
product managers, customer experience teams, support teams, market researchers, enterprise businesses, data analysts
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