InternIQ — Next-Gen AI Recruitment SaaS

Discover Potential.
Create Impact.

Empower recruiters with automated CV evidence mapping, radial AI match scoring, and screening intelligence. You still make the hiring call — InternIQ delivers the evidence.

InternIQ AI Candidate Synthesizer — Production Preview
Score: 92% Highly Recommended

Ayesha Khan — Machine Learning Applicant

National University of Sciences and Technology · 3.85 CGPA

Shortlisted
Requirement Evidence Mapping
Python & PyTorch Experience✓ 3 Projects Verified
Data Preprocessing & Pandas✓ Demonstrated
AI Match Index
92%

High probability for interview success based on screening criteria.

10x

Faster Candidate Screening

99.4%

CV Evidence Accuracy

0 Hours

Manual Parsing Required

100%

Recruiter Control Preserved

Engineered for Excellence

Everything you need to hire top talent effortlessly.

01 · Define Requirements

Tailored Screening Criteria

Specify required & preferred technical skills, academic qualifications, and custom screening questions for each role.

02 · Instant AI Analysis

Evidence Mapping Engine

InternIQ automatically extracts candidate evidence from PDF resumes, mapping projects and achievements directly to your specifications.

03 · Modern Dashboard

Actionable Analytics Report

Review visual radial gauges, strength/weakness matrices, interview probability, and missing skills chips with one click.

How InternIQ Works

A 3-step streamlined workflow designed for high-efficiency hiring teams.

1

Create Internship Wizard

Define role titles, work mode (Remote/On-site), duration, and screening requirements in seconds.

2

Share One Public Link

Applicants apply effortlessly without needing an account — uploading PDF CVs and answering screening questions.

3

Review AI Evidence Report

Get instant candidate rankings, AI match scores, strength breakdowns, and shortlist applicants with confidence.

Frequently Asked Questions

Ready to transform your recruitment process?

Join forward-thinking recruiting teams using InternIQ to discover potential and make data-backed hiring decisions.

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