A company faced challenges with frequent context switches in customer support, leading to slower query resolution and reduced satisfaction. Shperling.ai's context-switch classifier, with >94% accuracy, enabled real-time topic detection and automated transitions. Results: faster query processing, improved accuracy, and enhanced customer satisfaction through seamless workflow automation.
A B2B startup needed a tool for business owners to request key metrics using natural language. Shperling.ai developed a text-to-SQL module for real-time data analysis and seamless integration. Results: simplified data analysis, improved usability, and significant time savings, enhancing the startup's functionality and value for its clients.
A consulting agency struggled with slow information retrieval while processing 500GB of data daily. Shperling.ai implemented a local search system with fast indexing and AI-powered queries. Results: over 50% faster data retrieval, improved team productivity, and reduced processing costs, delivering a tool that optimizes efficiency and outcomes.
