Crypto Startup: Revolutionizing Recruitment with AI ATS

Shortlists lacked diversity due to inconsistent evaluation, impacting team culture and investor trust in inclusive hiring practices.

Manual filtering favored familiar backgrounds, reducing the visibility of qualified, underrepresented candidates in early stages.

Slow screenings and scattered role tracking led to 6–8 week delays in closing key positions.

Regional hiring lacked consistency, with manual coordination slowing global expansion plans and causing bottlenecks.

Without central dashboards, HR struggled to justify hiring decisions, leading to mismatched hires and higher attrition.

LeoBrain's AI recruitment tool anonymized candidate data and used AI scoring to ensure diverse, merit-based shortlisting without unconscious bias.

The AI Applicant Tracking System parsed and ranked 1,000+ resumes instantly, identifying top talent across skills, roles, and diversity markers.

HR managed all roles in one place, monitoring progress through real-time dashboards for faster, structured hiring.

Candidates were ranked by AI using skills, experience, and role-fit, accelerating shortlisting by removing manual guesswork.

The real-time dashboard gave HR live analytics on pipeline health, hiring velocity, and candidate quality—reducing attrition risks.