Charleston, SC – February 18, 2026 — TalentXi, a next-generation recruitment marketing and talent intelligence platform, was named Runner-Up at the 2026 ITEXPO IDEA Showcase, underscoring strong industry validation of its patented AI-driven workforce technology.
Selected from a competitive field of emerging technology companies, TalentXi was recognized for its differentiated approach to solving one of the largest inefficiencies in enterprise hiring: high spend, low-fit applicant volume, and fragmented recruitment marketing strategies.
The IDEA Showcase, held at the Broward County Convention Center as part of ITEXPO’s #TECHSUPERSHOW, highlights companies with high-growth potential, scalable business models, and transformative technology. TalentXi’s live pitch demonstrated how its AI-powered agentic infrastructure, hyper-personalized advertising engine, and proprietary data strategy enable organizations to:
- Reduce cost-per-qualified applicant
- Increase conversion quality
- Optimize media spend in real time
- Eliminate recruitment marketing waste
“This recognition is an important external validation of both our technology and market opportunity,” said Jason Gorham CEO of TalentXi. “The hiring ecosystem is overdue for transformation. TalentXi’s patented infrastructure leverages first-party data, behavioral targeting, and AI agents to modernize how enterprises attract and convert top talent — with measurable ROI.”
The global recruitment technology market continues to expand rapidly as enterprises seek more efficient, data-driven hiring solutions. TalentXi’s scalable platform architecture positions the company to capitalize on this shift by replacing outdated job board dependency with precision-driven, performance-based talent acquisition strategies.
Being named Runner-Up at IDEA Showcase reflects increasing industry awareness and demand for smarter, AI-enabled recruitment marketing solutions — and marks another milestone in TalentXi’s growth trajectory
Selected from a competitive field of emerging technology companies, TalentXi was recognized for its differentiated approach to solving one of the largest inefficiencies in enterprise hiring: high spend, low-fit applicant volume, and fragmented recruitment marketing strategies.
The IDEA Showcase, held at the Broward County Convention Center as part of ITEXPO’s #TECHSUPERSHOW, highlights companies with high-growth potential, scalable business models, and transformative technology. TalentXi’s live pitch demonstrated how its AI-powered agentic infrastructure, hyper-personalized advertising engine, and proprietary data strategy enable organizations to:
- Reduce cost-per-qualified applicant
- Increase conversion quality
- Optimize media spend in real time
- Eliminate recruitment marketing waste
“This recognition is an important external validation of both our technology and market opportunity,” said Jason Gorham CEO of TalentXi. “The hiring ecosystem is overdue for transformation. TalentXi’s patented infrastructure leverages first-party data, behavioral targeting, and AI agents to modernize how enterprises attract and convert top talent — with measurable ROI.”
The global recruitment technology market continues to expand rapidly as enterprises seek more efficient, data-driven hiring solutions. TalentXi’s scalable platform architecture positions the company to capitalize on this shift by replacing outdated job board dependency with precision-driven, performance-based talent acquisition strategies.
Being named Runner-Up at IDEA Showcase reflects increasing industry awareness and demand for smarter, AI-enabled recruitment marketing solutions — and marks another milestone in TalentXi’s growth trajectory.
About TalentXi
TalentXi leverages patented technology to transform recruitment marketing through AI-powered agents, hyper-personalized advertising, and advanced data strategy. By integrating first-party insights, third-party audiences, and behavioral targeting, TalentXi enables enterprises to reduce hiring costs, improve applicant quality, and drive measurable workforce outcomes at scale.
