Hiring thousands of frontline workers (employees who directly provide goods and services to communities) across multiple cities is a coordination-heavy cumbersome task for HR managers. Recruiters have to call prospective employees, follow up on applications, schedule interviews and keep workers informed through onboarding and training.
When hiring volumes spike during festive seasons or business expansion, these tasks can quickly become more difficult to solve manually. Bengaluru-based conversational AI startup Hunar.AI is building AI agents to automate these HR workflows.
The startup today announced the raise of ₹40 Cr ($4.2 Mn) in its Series A funding round led by Blume Ventures. Other investors like Hyderabad Angels Fund, Together Fund, Seedstars, AVNM Ventures, PhysicsWallah cofounders Prateek Maheshwari and Alakh Pandey, and MediaMint cofounder Aditya Vuchi also participated in the round.
Founded in 2022 by Krishna Khandelwal and Shantanu Bhattacharyya, Hunar.AI automates frontline workforce management via its conversational AI agents. These agents help ease various frontline workforce management issues — including hiring, onboarding, training and retention.
It is targeting businesses that need to recruit and manage large numbers of workers, often across several locations and regional languages.
The startup offers voice AI capabilities in more than 20 languages, including Tamil, Telugu and Kannada. This allows enterprises to communicate with workers in their preferred languages while automating workflows that would otherwise require repeated calls and manual follow-ups.
The startup intends to use the fresh capital to strengthen its AI infrastructure, develop its products and bolster its go-to-market strategy.
“Frontline workforce management is one of the largest yet most underserved opportunities in enterprise AI.
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