Wednesday, September 3, 2025

Supportwave Unveils Conversational AI Interview Tools to Cut Tech Hiring Time

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Supportwave, a fast-growing tech staffing company, has launched a conversational AI interview platform designed to transform enterprise hiring for IT and software development roles. By integrating candidate screening, assessment, and ranking into a single automated workflow, the platform reduces the typical hiring cycle from 48 days to just 48 hours.

Developed and refined through enterprise use, the system leverages AI to handle CV matching, application scoring, and realistic, interactive interviews that evaluate both technical expertise and soft skills. This eliminates traditional bottlenecks such as manual screening, extended interview rounds, and unconscious bias. Companies receive ranked shortlists of top candidates within two days, allowing technical leaders to focus on only the most qualified applicants.

Candidate experience is a central focus. Applicants can complete assessments at their own pace, with AI-powered conversations creating a more engaging and efficient process. “I really enjoyed this whole process, especially the AI interview. It saves a lot of people’s time. Also, as a job seeker, I just wanted to let you know that I enjoyed using your workflow,” shared one engineer who recently used the platform.

Also Read: Hubert Raises €2.5M to Accelerate AI-Led Transformation of High-Volume Hiring

Supportwave is currently active across the UK, US, and EU, offering solutions for embedded teams, permanent hires, and project-based staffing. The company has achieved 80% quarter-on-quarter revenue growth, supported by two funding rounds, and is preparing for a Series A to fuel international expansion.

Positioning itself as a challenger to global players like Accenture, Supportwave is capitalizing on rising demand for specialized IT and AI talent. Its conversational AI platform is designed to meet high-volume hiring needs while ensuring speed, quality, and personalized client support through dedicated account management teams.

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