AI Drives Hiring Efficiency
Hunar.AI, an artificial intelligence-powered platform, is dramatically reshaping large-scale hiring processes. The Bengaluru startup claims its AI solutions can reduce hiring cycles by as much as 75%, simultaneously boosting overall workforce productivity by 25%. This technology targets the persistent challenges of skills gaps and inefficient manual recruitment prevalent in India's HR sector.
Startup's Growth Trajectory
Founded in 2022 by Shantanu Bhattacharyya and Krishna Khandelwal, Hunar.AI has rapidly scaled, processing over 10 million candidate interactions. The company has secured $1.78 million in funding across two rounds and commands a market valuation exceeding ₹100 crore. Krishna Khandelwal, Co-founder and CEO, highlighted the strong adoption of their self-serve Voice AI platform, with over 100 SMBs deploying more than 1,000 AI agents for various HR functions.
Multifaceted AI Applications
These AI agents are actively managing thousands of daily candidate engagements. Their applications span crucial areas like candidate screening, interview scheduling, functional and technical assessments, workforce training, and even measures to reduce absenteeism and attrition. Hunar.AI reports a doubling of conversion rates and a 90% reduction in the time taken for hiring and onboarding processes.
Technological Edge
Co-founder and CTO Shantanu Bhattacharyya noted that nearly 40% of 'Voice AI' calls are conducted in languages other than Hindi and English, underscoring the platform's multilingual capabilities. With engagement rates exceeding 70% on calls, Hunar.AI's proprietary evaluation layer analyzes sentiment, behavior, tonality, and personality signals to expedite hiring. The platform offers end-to-end recruitment solutions, including onboarding and retention, via voice, WhatsApp, and chat, supporting over 20 languages and advanced voice features like accent adaptation and interruption handling.