Automating candidate screening with real-time voice AI, structured evaluations, and scalable recruitment infrastructure.
10k+
Downloaded Apps
180%
Revenue Rate
Client
Interview Express
Project Scope and Technology
AI-powered voice interview platform, Real-time speech recognition and synthesis, LLM-based candidate evaluation and scoring, Resume parsing and job description analysis, Multi-tenant recruitment dashboards, Credit-based billing and interview analytics
Team Composition
2 x Full-stack Engineers, 1 x AI/ML Engineer, 1 x Frontend Engineer, 1 x DevOps Engineer
Country
USA
Industry
Marketplace
Work duration
7 months
Interview Express Product was built to eliminate one of the most time-consuming steps in hiring: early-stage candidate screening. Recruiters often spend hours reviewing resumes, scheduling calls, and conducting repetitive interviews that lead to inconsistent evaluations. The platform introduced an AI-powered interviewer capable of running structured voice interviews automatically. Candidates simply receive a link and interact with an AI agent that asks role-specific questions and evaluates responses in real time. By combining speech recognition, large language models, and voice synthesis, the system delivers consistent assessments while helping companies screen large candidate pools faster and make better hiring decisions.
Key technical and operational challenges included building a voice AI system capable of conducting natural, dynamic interviews instead of rigid scripted interactions. The platform needed to listen to candidate responses, understand context, and generate relevant follow-up questions in real time. Transforming conversational interviews into structured candidate evaluations was another major hurdle, requiring AI models to map responses against role-specific competencies and scoring frameworks. The infrastructure also had to support multi-tenant organizations, recruiter dashboards, and scalable voice pipelines capable of handling many simultaneous interviews while maintaining accuracy, reliability, and enterprise-grade performance.
The project began by mapping the hiring workflow and identifying where AI could streamline repetitive screening interviews while keeping final decisions with human recruiters. The team designed a voice-based interview system that allowed candidates to interact with an AI interviewer in real time through a simple link. Engineers built a voice pipeline combining speech recognition, language models, and speech synthesis to support natural conversations. A scalable backend managed candidate profiles, job descriptions, and interview evaluations. Recruiter dashboards and analytics tools were introduced to help hiring teams review candidate performance, compare applicants using standardized metrics, and accelerate early-stage hiring decisions.
Interview Express Product launched as a scalable AI recruitment platform capable of conducting automated screening interviews for organizations hiring at scale. Recruiters significantly reduced the time spent on early-stage candidate screening while maintaining consistent evaluation standards across applicants. The AI interviewer ensures every candidate experiences the same structured interview process, generating comparable insights across communication, technical ability, and problem-solving skills. Companies can screen large candidate pools without the scheduling delays of manual interviews. By combining automation with structured evaluation data, the platform enables hiring teams to make faster, more informed recruitment decisions while improving the overall screening experience.
CEO, Paul Morgan
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