Rox uses Jev for sales data retrieval, 20x faster than GPT-5 Mini
Rox compared LLM-based reranking with Jev classification and says Jev retrieves sales context faster, cheaper, and 12% more accurate.

We used Jev to retrieve sales data 20x faster, 10x cheaper, and 12% more accurate than GPT-5 Mini. Every time a Rox agent answers a query, it pulls from relevant transcripts, emails, CRM notes, news, and documents. We benchmarked two ways of retrieving them: LLM-based reranking Jev classification The results speak for themselves. Jev was faster, cheaper, and more accurate. Revenue agents require thousands of points of context to understand accounts, chart relationships, and execute on sales. This research will help us serve that context with frontier-level performance for our customers.