Recruiting teams across the United States are facing a persistent bottleneck that has only intensified with competitive labor markets: the time-consuming process of screening candidates through first-round interviews. For high-volume hiring environments, the challenge often means qualified applicants slip through the cracks due to scheduling delays and recruiter burnout.
An Austin-based technology company is addressing this problem with an artificial intelligence platform designed to conduct initial candidate interviews autonomously. FetchTalent AI uses conversational voice and video AI to handle structured first-round screenings, allowing recruiting firms and in-house talent teams to evaluate applicants without dedicating staff hours to repetitive phone calls.
The platform operates as what the company describes as an autonomous AI recruiter. It conducts job-specific interviews over phone and video, asking candidates role-relevant questions and following up based on their responses. The system evaluates multiple dimensions including technical skills, communication ability, and behavioral indicators, then generates structured reports complete with scoring, transcripts, and full audio or video recordings.
Founded by Prashanth Raj, an AI and data professional with a background in building large-scale compliance-driven systems, the company was created specifically to solve what Raj identified as a critical gap in modern hiring workflows. In environments where hundreds or thousands of applications arrive for open positions, manual screening processes create significant delays that can cost organizations top talent.
“Hiring shouldn’t depend on whether a recruiter had time that week,” Raj said. “FetchTalent AI ensures every candidate gets a real interview, and every recruiter gets back time to focus on what actually matters.”
The technology aims to save recruiting teams more than 20 hours per week typically spent on initial screening calls. Interview outputs are automatically delivered into customers’ existing Applicant Tracking Systems, allowing recruiters and hiring managers to review candidate responses without manual data entry or system switching.
The AI-powered recruiting platform is designed primarily for staffing agencies, recruiting firms, and organizations that hire at scale. This includes agency recruiters managing large applicant pipelines, recruiting firm founders and operations leaders working under tight client service agreements, and in-house talent acquisition teams at mid-market and enterprise companies filling high-volume or repeatable roles.
One distinguishing feature of the system is its emphasis on consistency. Every candidate is assessed using the same interview framework, which the company says reduces the bias and variability common in manual screenings where different recruiters may emphasize different factors or ask questions inconsistently.
The platform supports customizable interview workflows and role-specific evaluation agents, allowing organizations to tailor the AI’s approach to different positions while maintaining standardized assessment criteria. Enterprise-grade security and compliance practices are built into the system to handle sensitive candidate information.
Candidates interact with the system on their own schedule, which can improve engagement and reduce drop-off rates common when coordinating live screening calls across multiple time zones or with applicants who have limited availability during standard business hours.
The business model combines a platform subscription with usage-based AI interview credits, allowing customers to align costs with actual hiring volume rather than paying fixed fees regardless of activity. This structure is designed to appeal to organizations with fluctuating hiring needs or seasonal recruiting patterns.
While the technology automates the initial screening phase, the company positions the system as a tool that augments rather than replaces human decision-making. Recruiters and hiring managers still review interview outputs and make final determinations about which candidates advance, but they do so with structured data and recorded interviews rather than conducting every screening call themselves.
The platform also serves RPO providers, business process outsourcing firms, and organizations with distributed or multi-location hiring needs where coordinating live interviews presents logistical challenges. For these teams, the ability to interview every applicant consistently regardless of location or time zone addresses a significant operational pain point.
As artificial intelligence continues to reshape various aspects of business operations, recruiting and talent acquisition have emerged as areas where automation can address clear inefficiencies. The repetitive nature of first-round screening interviews, combined with the high volume required in many hiring environments, creates conditions where AI systems can potentially deliver measurable time savings while maintaining or improving evaluation quality.
The company’s mission centers on ensuring every candidate receives a timely and fair interview while helping recruiters focus on higher-value activities such as relationship building, candidate coaching, and strategic hiring decisions. By handling the initial screening phase autonomously, the platform aims to make recruiting processes faster and more consistent without sacrificing the candidate experience or removing human judgment from hiring decisions.