haf.vc Invests ₹3 Crore in Hunar.AI to Expand AI Workforce Solutions

Oct 22, 2026 - 19:00
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haf.vc Invests ₹3 Crore in Hunar.AI to Expand AI Workforce Solutions
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haf.vc, a venture capital fund that evolved from Hyderabad Angels, has committed ₹3 crore to Hunar.AI, a startup specializing in conversational artificial intelligence aimed at frontline workforce management. This investment reflects growing interest in AI solutions designed to improve operations involving large, multilingual labor forces.

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Hunar.AI was established in 2022 by Krishna Khandelwal and Shantanu Bhattacharyya. The company develops AI agents capable of handling tasks such as hiring, onboarding, training, and engaging frontline workers. These AI tools operate through voice interfaces and WhatsApp, supporting multiple languages to meet diverse workforce needs.

The infusion of capital will be directed toward enhancing the startup’s AI infrastructure, advancing product development, expanding sales efforts, and broadening market presence. Hunar.AI aims to serve businesses that manage extensive teams spread across various locations and languages, providing scalable solutions for workforce management challenges.

Kalyan Sivalenka, Managing Partner at haf.vc, emphasized the significance of the frontline workforce in India, which is vast, multilingual, and often underserved by current technology offerings. He explained that Hunar.AI’s team brought valuable experience from workforce services and translated that knowledge into AI systems tailored to the unique languages and workflows of frontline employees.

This funding round included participation from Blume Ventures and a group of other investors, aligning with haf.vc’s strategy of supporting top founders throughout India while leveraging Hyderabad’s capital ecosystem.

Krishna Khandelwal, CEO and Co-Founder of Hunar.AI, expressed optimism about the investment’s impact. He noted that the funds will help the company extend its multilingual conversational AI platform to more enterprises, particularly within Telangana, enhancing workforce engagement and operational efficiency.

The partnership between haf.vc and Hunar.AI reflects a broader trend in the Indian startup ecosystem where AI is increasingly integrated into workforce management solutions. As India’s labor market continues to expand and diversify, tools like those developed by Hunar.AI offer businesses new ways to streamline recruitment and employee management processes.

Investments focusing on AI-driven workforce technology indicate growing confidence in startups that address the complexities of managing large, dispersed teams. The ability to operate across languages and communication channels such as WhatsApp is crucial for reaching frontline workers who may not have access to traditional digital platforms.

By building AI agents that can interact naturally in multiple languages and formats, Hunar.AI is positioning itself to meet the needs of industries reliant on frontline labor, including retail, manufacturing, logistics, and services. This approach helps companies reduce training costs, improve employee retention, and boost productivity.

haf.vc’s ₹3 crore investment will support Hunar.AI’s efforts to scale these capabilities and enter new markets. The collaboration also highlights the growing role of Hyderabad as a hub for venture capital activity and innovation, with funds like haf.vc aiming to back promising startups across India.

As conversational AI technologies mature, their application in workforce management is expected to grow, addressing long-standing challenges in communication, training, and employee engagement. Hunar.AI’s focus on frontline workers places it at the intersection of technology and labor market needs, offering practical solutions that can improve operational outcomes for businesses and workers alike.

This development, announced on October 22, 2026, underscores the continued momentum behind AI startups in India and the increasing willingness of investors to support ventures that combine domain expertise with advanced technology.

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