Employ and VONQ Integrate AI Screening into JazzHR and Lever

Jun 18, 2026
Employ Inc. has partnered with VONQ to embed AI candidate screening into its JazzHR and Lever platforms, enabling recruiters to identify relevant candidates faster and with standardized assessments.

Employ Inc. has partnered with VONQ to integrate AI candidate screening directly into its JazzHR and Lever applicant tracking systems, announced in a press release.

The integration introduces skills-based AI screening at the earliest stage of hiring. Recruiters can now receive ranked shortlists and explainable candidate reports without manually sorting through applications. The tool engages applicants immediately through chat and voice interactions, evaluating responses against role-specific criteria.

Employ stated that the system reduces manual screening time and helps recruiters focus on qualified candidates. According to the announcement, hiring teams using the AI Screening solution fill roles 2.5 times faster, with candidate processing time reduced from three weeks to two hours.

The AI Screening agent by VONQ is independently audited for bias and compliance by Warden AI. Employ plans to showcase the integrated solution during a joint webinar on June 30.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.