Our First Public Release
HiFive AI v0.9 is our first public release, and it introduces two core capabilities that set the foundation for everything we are building. First, intelligent resume parsing that goes beyond keyword extraction to understand the semantic meaning of a candidate's experience, skills, and career trajectory. Second, predictive candidate ranking that scores each applicant against the specific requirements of the role, not just keyword matches.
The resume parser supports 14 Indian languages and handles the unique formatting patterns common in Indian resumes - including non-linear career paths, multiple educational qualifications, and mixed-language content. It achieves 96% accuracy on structured data extraction, compared to 78% for the leading keyword-based parsers.
Predictive Candidate Ranking
The candidate ranking engine uses a multi-factor model that evaluates candidates across skills match (40%), experience relevance (30%), career trajectory (15%), and cultural fit signals (15%). Each factor is weighted based on the specific role requirements, and the model adapts its weighting as it learns from hiring outcomes.
Early beta users report that the ranking engine reduces their screening time by 70% and surfaces qualified candidates who would have been missed by traditional keyword filters. The system also provides explainable match scores - recruiters can see exactly why a candidate was ranked highly, which builds trust and enables better hiring decisions.
- •Intelligent resume parsing supports 14 Indian languages with 96% accuracy
- •Predictive candidate ranking evaluates skills, experience, trajectory, and cultural fit
- •Multi-factor model adapts weighting based on role requirements and hiring outcomes
- •Beta users report 70% reduction in screening time
- •Explainable match scores build trust and enable better hiring decisions