AI-Powered Matching Technology

Advanced Resume Matching

Revolutionary Career Graph Model that matches resumes to job descriptions with 95% accuracy at enterprise scale

95% Match Accuracy
1000+ Resumes/Minute
Real-time Processing

The Career Graph Model

Our proprietary AI model that maps careers, skills, and opportunities in a multi-dimensional knowledge graph

What is a Career Graph?

Think of it as a smart map that connects every skill, job title, company, and career path in the professional world. Just like Google Maps knows how to get from point A to point B, our Career Graph knows how skills connect to roles and how careers naturally progress.

Simple Analogy

Imagine a giant web where every dot represents a skill (like "Python programming" or "team leadership") and every line shows how skills relate to each other. Our AI can instantly see which combinations of skills make someone perfect for a specific job.

Career Graph Connections

Senior
Engineer
Python
React
AWS
Leadership
Docker
Agile

Each connection represents skill relationships and their importance to the role

1

Parse & Extract

AI reads resumes and job descriptions, extracting skills, experience levels, and context clues like a human recruiter would.

2

Map & Connect

The Career Graph maps each skill to the job requirements, understanding which skills are essential vs. nice-to-have.

3

Score & Rank

Generates a precise match score and explains why someone is a good fit, highlighting strengths and potential gaps.

Matching Technology at Scale

Advanced AI algorithms that process thousands of resumes in minutes, not hours

Traditional vs AI Matching

❌ Traditional Keyword Matching

  • • Looks for exact keyword matches only
  • • Misses qualified candidates with different terminology
  • • Can't understand context or skill relationships
  • • Takes hours to review hundreds of resumes
  • • High chance of missing great candidates

✅ AI Career Graph Matching

  • • Understands skill relationships and synonyms
  • • Recognizes transferable skills and experience
  • • Considers career progression and growth potential
  • • Processes 1000+ resumes per minute
  • • Finds hidden gems traditional methods miss

What We Analyze

Technical Skills

Programming languages, frameworks, tools, and proficiency levels

Experience Level

Years of experience, seniority level, and leadership responsibilities

Industry Context

Company types, industry experience, and domain knowledge

Career Trajectory

Growth patterns, career progression, and future potential

Cultural Fit

Communication style, work preferences, and team dynamics

Recency Analysis

How recent is their experience with specific technologies and job functions

Smart Recency Analysis

Our AI understands that not all experience is equal - recent hands-on experience matters more than outdated skills

Why Recency Matters

Technology evolves rapidly. A developer who used React 5 years ago is very different from someone actively using React 18 today. Our AI weighs recent experience more heavily than outdated skills.

Smart Decay Algorithm

Skills naturally "decay" over time without use. Our algorithm applies intelligent time-based scoring that considers technology evolution rates, industry standards, and skill transferability.

Recency Scoring Examples

React Development Experience

Current (0-6 months)
100%
Recent (6-18 months)
85%
Moderate (2-3 years)
65%
Outdated (3+ years)
35%

Management Experience

Current Role
100%
Previous Role (1-2 years ago)
90%
Earlier Experience (3-5 years ago)
75%

Technology Evolution Rate

Fast-changing technologies like JavaScript frameworks have higher decay rates than stable languages like SQL.

JavaScript Frameworks High Decay
Cloud Platforms Medium Decay
Core Languages Low Decay

Context Awareness

AI considers the context of experience - hands-on development vs. management oversight vs. academic knowledge.

Hands-on Development Full Weight
Team Leadership High Weight
Academic/Training Partial Weight

Skill Transferability

Some skills transfer easily between technologies, while others are highly specific and don't age well.

Problem Solving Highly Transferable
Architecture Design Transferable
Specific APIs Low Transfer

Real-World Recency Example

👨‍💻 Candidate A: "The Veteran"

React Experience: 5 years (2018-2023)
Last Used: 2 years ago
Version: React 16
AI Score: 60% - Extensive experience but outdated. Would need ramp-up time for modern React patterns.

👩‍💻 Candidate B: "The Current User"

React Experience: 2 years (2022-2024)
Last Used: Currently using
Version: React 18 + Hooks
AI Score: 95% - Current, hands-on experience with modern patterns. Ready to contribute immediately.

Result: Despite having less total experience, Candidate B scores higher due to recency and current technology knowledge.

Enterprise-Scale Processing

Handle massive volumes of resumes with lightning-fast processing and accurate results

1000+
Resumes per Minute
Lightning-fast processing
95%
Match Accuracy
Validated by recruiters
10M+
Resumes Processed
Proven at scale
<2s
Average Response
Real-time results

AI Processing Pipeline

Document Parse

Extract text and structure

AI Analysis

Extract skills and experience

Match Score

Generate compatibility rating

See Resume Matching in Action

Upload a resume and job description to see our AI matching technology analyze and score the compatibility in real-time.

Instant Analysis

Upload any resume format (PDF, Word, text) and get immediate skill extraction and analysis.

Detailed Scoring

See exact match percentages, skill gaps, and recommendations for improvement.

Explainable AI

Understand exactly why the AI made its decisions with clear explanations and reasoning.

Resume Matching Demo

Try our AI-powered resume analysis tool

95%
Accuracy
<2s
Processing
50+
Skills Found

Ready to Transform Your Hiring?

Experience the power of AI-driven resume matching and find the perfect candidates faster than ever