Native-language AI gains ground in startup hirings, Pg15

Key Highlights:

• Startups are increasingly using native-language AI tools to broaden hiring and reduce recruitment time, especially for frontline roles.
• Curefoods began using these tools in 2025, enabling screening in multiple Indian languages via automated voicebots.
• Flexiloans improved frontline hiring turnaround time by 30-40% using native-language AI.
• Companies like Vahan AI, Bolna AI, and Samvad.ai are experiencing increased demand for their AI hiring solutions.
• India AI NLTK’s Bhashini app supports over 22 Indian languages, facilitating voicebots and chatbots.
• India's AI workforce is estimated at 2.35 million, facing a demand-supply gap of about 51%.

Detailed Insights:

• The shift towards native-language AI in hiring is driven by the need to tap into a broader and more diverse talent pool, especially in tier-2 and tier-3 locations.
• Automated screening eases recruiter workload and enables faster decision-making by engaging applicants comfortable in languages like Hindi, Tamil, Telugu, Kannada, and Bengali.
• Native-language AI tools help reduce bias and speed up short-listing, particularly for roles where spoken communication is crucial.
• Startups are leveraging third-party platforms offering native-language hiring solutions to scale recruitment without proportionally expanding HR teams.
• The demand-supply gap in the AI workforce is pushing founders to automate high-volume, low-complexity tasks like initial screening and interview scheduling.
• Native-language voicebots can handle thousands of parallel calls, reducing recruiter time and cost per hire.

Key Concepts Involved:

• Artificial Intelligence (AI): Simulation of human intelligence processes by computer systems.
• Voicebots: AI-powered applications that simulate human conversation through voice.
• Natural Language Processing (NLP): A branch of AI that deals with the interaction between computers and humans using natural language.