The Problem

HR teams spend 23 hours per hire reviewing resumes. 75% of resumes are rejected due to lack of keyword matching, potentially missing qualified candidates due to unconscious bias.

The Solution

An AI platform that analyzes resumes beyond keywords, evaluates candidate fit based on skills and experience, reduces bias in screening, and provides detailed matching explanations.

Key Features

  • Intelligent resume parsing
  • Bias-reduced candidate ranking
  • Skills gap analysis
  • Interview question generation
  • Diversity hiring insights

Technical Requirements

Natural Language Processing
Machine Learning models
Resume parsing engines
Bias detection algorithms
Integration APIs

Competitive Advantage

Focus on bias reduction and explainable AI decisions, addressing growing concerns about fair hiring practices.

Market Validation

Demand Indicators

  • Growing focus on diversity hiring
  • Increased hiring volumes
  • Demand for automation in HR

Competitor Analysis

HireVue, Workday focus on enterprise; opportunity for SMB-focused bias-aware solution

Implementation Roadmap

MVP Features

Resume parsingBasic matchingSimple ranking

Development Steps

  1. 1 Build resume parsing engine
  2. 2 Train matching algorithms
  3. 3 Create bias detection system
  4. 4 Develop web platform
  5. 5 Add integration capabilities