AINA Secures $1M Seed Round For AI Hiring Platform

As job market competition intensifies, employers face surging volumes of AI-generated applications many poorly matched to roles. Meanwhile, recruiters increasingly use AI for job descriptions, screening and interviews, yet qualified candidates are often missed. With hundreds of applicants per recruiter, automation is creating new challenges around efficiency, quality, and cost.

Candidates are also navigating an increasingly complex hiring landscape. Many, particularly younger job seekers use AI tools for career guidance yet a significant number still struggle to progress successfully through recruitment processes.

Read Also - Headway Inc Raises Series A Extension From Endeavor Catalyst

AINA addresses these challenges with an integrated AI-driven hiring platform designed for both employers and candidates. The platform improves efficiency and decision making by automating repetitive tasks enabling more accurate candidate screening and delivering actionable insights. This helps hiring teams shortlist faster manage interviews more effectively and reduce poor fit hires.

For candidates, AINA provides AI-powered career coaching that creates personalized career paths, recommends suitable roles, and offers interview simulations to prepare for real hiring conversations.

According to founder and CEO Natallia Mikhnovets, AINA has facilitated more than 2,000 interviews and helped fill over 300 roles, enabling clients to hire for specialized positions much faster often within hours or days.

The new funding will support continued development of AINA’s platform, including enhancements to AI-driven recruiting, candidate screening, analytics, and career coaching features.

About AINA

AINA Tech is an empathetic, AI-driven hiring platform designed to make recruitment faster, fairer and more human-centered. By automating repetitive tasks and delivering intelligent insights, AINA simplifies hiring for candidates, companies, and recruiters, reducing stress while improving efficiency, decision-making and hiring outcomes across the entire recruitment process.