Next-Gen Resume Screener

AI Talent Analytics
With Extreme Precision.

HireGrid.io parses raw candidate PDF resumes instantly using advanced NLP semantic layers. Automatically grade candidate skill density, experience alignment, and corporate titles.

98%Parsing Yield
<2sAnalysis Time
OAuthSecure Logins
Matching PipelineActive Run
AM
Alex McKinneyLead Software Engineer • Remote
0%Shortlist
ReactTypeScriptNode.js+4 more
SL
Sarah LinFrontend Developer • SF
68%Review
ReactTypeScript+2 more
CORE TECHNOLOGY

Accelerate Your Enterprise Hiring Funnel

We leverage multi-stage parsing systems to identify, classify, and match the most relevant corporate talent instantly.

Semantic NLP Evaluation

Goes beyond simplistic keyword checks. Analyzes document context, matching experience and related skills semantically for absolute score accuracy.

Semantic Distance AnalyzerCosine Similarity: 0.94
Target Requirements Profile"Machine Learning Scientist"
Parsed Candidate Context"AI/ML Research Lead"

SSE Real-Time Logs

Watch the recruitment engine extract and score profiles instantly. Streaming progress logs provide high-precision feedback as parsing occurs.

> Starting stream server...
> event: parse_started | total_resumes: 12
> event: parse_success | candidate: Alice

OAuth Cryptographic Security

Integrates seamlessly with verified Google Authentication (OAuth2) to guarantee corporate logins and protect proprietary workspace screening records.

Secure OAuth Pipeline Enabled

Specialized Skills Indexing

Automatically parse niche, high-value skills categories including AI Agent Orchestration, SEO Technical structures, Supabase best practices, and QA automation frameworks.

Subagent-Driven-DevelopmentSEO TechnicalSupabase Postgres3D Web / Scroll Experience
LIVE PIPELINE INSIGHTS

Watch AI Screen in Action

Toggle templates, adjust multi-criteria weights, and execute a live simulated parse. Watch how candidates score and re-rank themselves dynamically.

1. Select Job Role Template
AI Target Job Profile

"Seeking a Senior Full Stack Engineer with extensive experience in React, TypeScript, Node.js, and PostgreSQL to design and scale SaaS products."

ReactTypeScriptNode.jsPostgreSQL
2. Adjust Scoring Weights
Total: 100%
Exact Skills Alignment40%
NLP Semantic Similarity40%
Years of Experience Fit20%
ACTIVE PIPELINE RUN: Senior Full Stack Engineer3 PROFILES RANKED
#1
Alex McKinney6.5 YOE • Remote
97%Matched
#2
Sarah Lin3.2 YOE • San Francisco
67%Matched
#3
John Doe1 YOE • Chicago
34%Matched
SIMULATION COMPLETED100% COMPLETED
RECRUITER FEEDBACK

Trusted By Fast-Growing Talent Teams

Read how enterprise recruiters and builders optimize their candidate pipelines with HireGrid.io.

"HireGrid's semantic parsing engine cut our screening time down by 80%. We were able to identify niche Rust/Go back-end developers with perfect contextual mapping within minutes instead of hours."

SJ
Sarah JenkinsHead of Talent Acquisition • Stripe

"Adjusting the parsing weights on the fly allowed us to pivot from evaluating pure skills to focusing on years-of-experience alignment. Highly recommended for scaling startups."

MV
Marcus VanceRecruiting Lead • Vercel

"Google OAuth integration combined with a Neon PostgreSQL DB keeps our corporate candidate data secure and cryptographically isolated. A game changer for enterprise HR security."

ER
Dr. Elena RostovaDirector of People Operations • OpenAI
COMMON INQUIRIES

Frequently Asked Questions

Answers to technical queries about our AI semantic parsing engine, data security, and setup.

Unlike simple keyword-based matching platforms, HireGrid runs candidate CVs through a sentence-transformers embedding model. This enables us to detect semantic similarity (e.g., matching 'Machine Learning' with 'Deep Learning Architectures' even if the exact keyword is missing).

Yes, HireGrid secures all corporate data behind strict user-authenticated schemas using secure Neon PostgreSQL instances. We utilize Google OAuth2 for verified logins and do not train models on your uploaded CV files.

Absolutely. As shown in our interactive demo, recruiters can distribute score weighting dynamically across Exact Skills Alignment, NLP Semantic Similarity, and Years of Experience Fit to tailor rankings to each unique role.

The system utilizes optimized Server-Sent Events (SSE) to stream live progress. Typically, a batch of 10 resumes is fully processed, parsed, and graded in under 15 seconds.

AFFORDABLE SAAS

Flexible Plans For Modern HR Teams

Start parsing candidate resumes instantly. Unlock advanced analytics options as your recruitment scale grows.

Sandbox Plan

$0/mo

Perfect for local developers to test CV entity parsing and Google auth flows.

Up to 10 resumes per run
Google OAuth & Dev bypass
Neon PostgreSQL backend
Try Free Sandbox
RECOMMENDED
Pro Recruiter

$49/mo

Designed for active recruiters requiring large-scale document parsing options.

Unlimited candidate profiles
Advanced semantic matching
Deep analysis visual charts
Full priority support
Upgrade to Pro
Enterprise Suite

Custom

Custom NLP fine-tuning, workspace roles, and multi-tenant isolation schemas.

Dedicated database nodes
Custom fine-tuned NLP layers
SLA & dedicated account manager
Contact Sales