CTO Shantanu Bhattacharyya, who's also the Co-founder at Hunar.AI, reveals to Fortune India that nearly 40% of all 'Voice AI' calls on Hunar happen in non-Hindi and non-English languages. "With 70%+ engagement rates on connected calls, our proprietary evaluation layer analyses sentiments, behavioural patterns, tonality and deeper personality signals, making large-scale hiring both faster and smarter."

Hunar.AI provides end-to-end frontline recruitment solutions, and helps businesses right from hiring, onboarding, managing, engaging and retaining employees using voice AI. The platform also offers multilingual support via channels like WhatsApp. This makes the platform accessible to a vast and diversified workforce.

Notably, the global market for training frontline workers was valued at about $22.3 billion in 2023 and is expected to grow at a CAGR of nearly 16.8%, reaching around $66.8 billion by 2030.

India’s HR industry faces major issues like severe skills gaps and high retention costs, which contributes to low employee engagement. Many companies still rely on manual hiring processes, which slow down the recruitment exercise. This, in turn, adversely impacts business productivity.

Hunar.AI claims to have developed conversational agents that run on voice, WhatsApp and chat channels and speed up the process by boosting engagement to find the right talent. The agents speak over 20 languages, including Hindi, English, Marathi, Kannada, Telugu, Gujarati and Tamil, and they handle mid-dialogue code-switching.

The platform also focuses on production-grade voice capabilities, including acoustic robustness for noisy phones, accent adaptation, interruption handling, and contextual memory across turns, and reliable voice-activity detection.

Hunar

How Bengaluru startup Hunar is using AI to make large-scale hiring faster