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AI recruiter for India's massive blue-collar workforce
Vahan.ai is an AI-driven recruitment and staffing platform aimed at helping businesses hire blue and grey collar workers in India. It emphasizes fast, high-volume hiring, AI-assisted workflows, and payroll/staffing integration across the country, including partnerships to expand reach.
The product uses AI-based chatbot technology to automate candidate sourcing, matching job seekers with employers, and facilitating high-volume on-demand hiring. It offers workforce recruitment and workforce staffing services, including payroll management, to scale the blue-collar workforce quickly. The platform promotes rapid fulfillment (days rather than months), cost reductions, and growth across India, with automation supported by human oversight to improve supply in stressed markets and reduce turnaround times.
Who it’s for: Businesses in need of high-volume blue/grey collar staffing in India, including startups and large enterprises with operations requiring driver, field sales, BPO, data entry, security, and other frontline roles.
Customers: Zomato, Dunzo, SquadStack
mentions of notable customers and testimonials, ongoing recruitment and staffing services, contact-to-sell emphasis; evidenced by client logos and deployment statements
With a background in AI and Machine Learning, Madhav is passionate about using technology to create large scale impact. Vahan connects millions of workers with job opportunities and is supported by investors like Y Combinator, Khosla Ventures and Bharti Airtel. Recognized as a Technology Pioneer by the World Economic Forum, Madhav is committed to transforming the future of employment in India and beyond.
Get your data annotated at super low costs while maintaining required quality standards
Vahan builds a labor marketplace in India with a pool of over 6 million gig-workers to perform data annotation tasks for AI startups, offering tasks at 5-10x lower costs while aiming to guarantee high quality.
From the original launch (Jun 2023) — may be outdated.
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