HeyMilo Secures $2.2 Million to Interview and Evaluate Candidates at Scale with AI Agents
- Editor
- Mar 3
- 2 min read
Whats Happening:
HeyMilo, an AI-powered candidate screening platform, has secured $2.2 million in seed funding led by Canaan Partners. The company's technology automates the initial interview process, enabling organizations to efficiently evaluate candidates at scale. HeyMilo's platform uses AI agents to conduct tailored interviews, ask follow-up questions, and provide actionable analyses, helping companies identify top talent faster and more cost-effectively.
Key Moves:
HeyMilo raises $2.2 million in seed funding led by Canaan Partners
Platform uses AI agents to automate candidate screening and interviewing
Technology integrates with existing applicant tracking systems (ATS)
By The Numbers:
$2.2 million raised in seed funding
AI agents can screen candidates across voice, video, phone, and SMS channels
Some customers report working as if their recruiting team has tripled in size
Key Quotes:
"HeyMilo is changing that. By bringing AI-powered agents into recruiting, they're making it possible to connect with more candidates, faster, without sacrificing quality, fairness, or the personal touch," said Rayfe Gaspar-Asaoka, partner at Canaan Partners.
"HeyMilo allows staffing and recruiting agencies, BPOs, and other high-volume hiring organizations to scale their recruitment team infinitely," said Sabashan Ragavan, co-founder and CEO of HeyMilo.
"We're a team of ten recruiters, but with HeyMilo, we can work as if we're a team of 30," said Laura Pacheco, head of recruiting at BPO Labs.
Bottom Line:
HeyMilo's $2.2 million seed funding marks a significant step in the evolution of AI-driven recruitment technologies. By automating initial candidate screenings and interviews, the platform addresses critical pain points in high-volume hiring, potentially transforming how companies evaluate talent at scale. As HeyMilo expands its product and customer base, it could reshape the recruitment landscape, making hiring processes more efficient and inclusive.
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