Daxtra, a leader in AI-driven software for talent acquisition, today announced the launch of Conversational Search, a groundbreaking innovation designed to make recruiting faster, smarter, and more intuitive.
This new feature allows recruiters to use natural language queries such as “Find ICU nurses with 3+ years of travel experience in Texas” eliminating the need for complex Boolean strings. Conversational Search instantly refines candidate searches across all talent pools, enabling recruiters to uncover the best-fit candidates quickly.
“With Conversational Search, we’re helping recruiters find the right candidates faster,” said Don Tomlinson, CTO at Daxtra. “Our Dax Agent interprets conversational queries to build smart searches that surface overlooked candidates, saving recruiters valuable time.”
Powered by advanced Generative AI, Daxtra’s Conversational Search pairs large language models (LLMs) with customer-specific data and multi-step reasoning. The system learns and improves over time, offering dynamic, iterative search refinement based on recruiter feedback. Predictive analytics track key hiring metrics such as time to hire, quality of hire, and cost per hire.
Benefits of Conversational Search include:
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Improved Speed & Efficiency: Eliminates complex query building, delivering refined, real-time results that reduce sourcing efforts.
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Enhanced Recruiter Experience: Simplifies search processes so recruiters can focus on engaging and building relationships with candidates.
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Better Candidate Discovery: Understands skill equivalencies and experience, reducing unconscious bias and increasing pipeline diversity.
William Tincup of WRKdefined praised the innovation: “Recruiting has advanced tremendously, and search needed to catch up. Daxtra’s Conversational Search fast-forwards sourcing without missing candidates. It blends technical precision with AI power this isn’t evolution; it’s revolution.”
