The Macro: The First Interview Is a $50 Billion Waste of Time
Recruiting is one of those industries where everyone agrees the process is terrible and nobody has fixed it. The average corporate job opening receives 250 applications. A recruiter spends about 30 seconds on each resume, picks 10 to 15 for a phone screen, spends 30 minutes on each screen, and advances maybe 5 to an interview panel. That is 7 to 8 hours of recruiter time per role just on initial screening. For a company hiring 100 people a year, that is a full-time employee doing nothing but phone screens.
The existing tools attack different parts of this problem. Lever and Greenhouse are applicant tracking systems that organize the pipeline but do not reduce the work. HireVue does asynchronous video interviews, but candidates talk to a camera, not a person, and the experience feels robotic. Paradox built a chatbot recruiter named Olivia that handles scheduling and basic screening via text. Mercor uses AI for technical assessments. Metaview transcribes and summarizes interviews after the fact. Each of these chips away at the problem without solving the core issue: someone still has to sit on a call and evaluate whether a candidate is worth advancing.
The uncomfortable truth about initial screening interviews is that they are mostly pattern recognition. Is this person articulate? Do they understand the role? Does their experience match what we need? Can they answer basic competency questions? A human recruiter can assess these things, but so can a well-built AI system. The question is whether candidates will accept being interviewed by a machine.
The answer, increasingly, is yes. Candidates already apply through automated systems, get rejected by automated systems, and schedule interviews through automated systems. The actual conversation is the last manual step in a process that is otherwise already automated. If the AI interviewer is good enough that the experience feels respectful and substantive, most candidates will prefer it to the current alternative: a 30-minute phone screen with a recruiter who is clearly reading from a script.
The Micro: A Robotic Doctor Team Pivots to Robotic Recruiters
Ahmed ElShireef is a co-founder who previously built Lothgha, a startup that reached $500K in annual recurring revenue, and co-founded Cira Robot, a robotic doctor solution recognized by the United Nations. Building a UN-recognized medical robot is not a typical recruiting-startup founder background, but it means he has experience building AI systems that interact with humans in high-stakes environments. Saif Elhager is the other co-founder. He built AiHello, an ad tech SaaS that reached seven figures in revenue. He is currently leading AI recruiting development at Outrove.
Outrove (Y Combinator Summer 2025) is building what they call an ultra-realistic AI recruiter. The product is a video-and-audio AI agent with a human-appearing presence that joins Google Meet or Zoom calls and conducts screening interviews. This is not a chatbot. This is not an async video tool where candidates record themselves. This is a synthetic person on a video call, asking follow-up questions, responding to answers in real time, and evaluating candidates through natural conversation.
The workflow goes beyond the interview itself. Outrove automates the entire top-of-funnel recruiting pipeline. The system sources candidates, fills your pipeline with qualified talent, and then runs them through custom workflows that can include email sequences, AI interviews, technical assessments, and branching paths based on candidate responses. After the interview, call transcripts, evaluation reports, and custom variables sync directly to your ATS.
The custom workflow designer is where the product becomes more than a novelty. You can build multi-stage hiring pipelines where the AI handles everything from initial outreach to first interview, with human recruiters only engaging with candidates who have already been vetted. For high-volume roles, this is transformative. A company hiring 50 customer support reps does not need a human recruiter screening all 1,250 applicants. They need a human recruiter interviewing the 50 best ones.
The team is two people in San Francisco. The product is in market with a “Book a Demo” sales motion, which suggests they are focused on enterprise and mid-market rather than self-serve adoption. The contact email is directly to Saif, which is the kind of founder-led sales that works at this stage.
The Verdict
Outrove is building at the intersection of two trends that are both accelerating: AI agents that operate in the real world and companies that are desperate to reduce hiring costs. The product is provocative in a way that I think works in their favor. An AI interviewer with a human face on a video call is the kind of thing people have strong opinions about, and strong opinions drive word-of-mouth distribution.
The candidate experience question is the one that matters most. If candidates feel respected and fairly evaluated, adoption will be fast. If candidates feel like they are talking to a creepy deepfake, the product is dead regardless of how good the backend is. The fact that Outrove’s agent joins real video calls (Google Meet, Zoom) rather than living in a proprietary platform is the right call. Candidates do not need to download anything or learn a new interface.
The competitive landscape is crowded but fragmented. HireVue is the incumbent in AI-assisted interviewing but their product feels dated. Paradox is strong in text-based screening but does not do video. Mercor focuses on technical assessment. Nobody else is putting a realistic AI face on a video call and running a full conversational interview. That is Outrove’s wedge, and it is a sharp one.
Thirty days, I want candidate feedback data. Not recruiter satisfaction. Candidate satisfaction. Do people who interview with Outrove’s AI feel like they got a fair shot? Sixty days, the metric is time-to-hire reduction. If companies using Outrove are filling roles in 20 days instead of 45, the ROI case is obvious. Ninety days, the question is whether this stays in high-volume screening or expands to more senior roles. If a VP of Engineering is willing to let an AI run the first interview for a staff engineer position, Outrove has crossed a trust threshold that changes the entire recruiting industry.