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HeyMilo

Automated candidate screening and interviewing.
General Information
Founders:
Ramie Raufdeen, Sabashan Ragavan
Founded Date:
2023-01-01
Linkedin:
Total Funding Amount:
$2,150,000
Headquarters Region:
Greater New York Area, East Coast, Northeastern US
Domain Rating:
4.5
Organic Traffic:
34
Last Equity Funding Amount:
$2,000,000
Last Equity Funding Date:
2024-01-22
Last Equity Funding Type:
Seed

Overview

HeyMilo is an AI-powered interview platform that enables recruiters to conduct automated, two-way conversational interviews at scale. By leveraging AI voice agents, HeyMilo reduces hiring time, increases interview capacity, and ensures a more objective evaluation process. Its advanced conversational AI adapts to candidate responses, diving deeper into their skills and qualifications just like a human recruiter. With seamless ATS integrations and real-time candidate insights, HeyMilo is a game-changer for companies looking to streamline their hiring processes while maintaining high-quality candidate assessments.

Key Features

  1. AI-powered voice interviews: Conducts two-way, dynamic conversations that mimic real recruiter interactions.
  2. Automated candidate screening: Instantly evaluates candidates based on pre-set questions and intelligent follow-ups.
  3. Adaptive questioning: Adjusts questions in real time based on candidate responses for a deeper assessment.
  4. Real-time candidate insights: Provides detailed reports, including interview recordings, scoring, and summaries.
  5. ATS & CRM integrations: Works seamlessly with platforms like Greenhouse, Lever, Workday, and more.
  6. Bias-free hiring: Ensures fair assessments with standardized, AI-driven evaluations.

Pros

  • Scales recruitment efforts by conducting hundreds of interviews simultaneously.
  • Saves recruiters time by automating initial screening and follow-ups.
  • Enhances candidate experience with engaging, conversational AI interviews.
  • Reduces hiring bias with objective, AI-driven scoring and assessments.
  • Integrates seamlessly with existing ATS and HR tech stacks.

Cons

  • Limited human interaction may not be ideal for roles requiring strong interpersonal skills.
  • Potential AI limitations in understanding complex, nuanced responses.
  • Requires setup and training to fine-tune questions and scoring metrics.
  • May not fit all industries that rely on in-depth, face-to-face evaluations.

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