# Candidateiq

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/candidateiq
- **Dataset:** https://optimly.ai/brand/candidateiq.json
- **Markdown:** https://optimly.ai/brand/candidateiq/llms.txt
- **Official website:** https://candidateiq.ai
- **Slug:** candidateiq
- **Categories:** data-analytics-business-intelligence, hr-technology

## Overview

- **Tagline:** Solves the #1 blocker to AI & Automation adoption by building confidence in data through a Trust Score system; provides a complete record quality management solution (cleaning, validating, enriching, scoring) integrated directly into existing ATS databases, preventing firms from re-paying for candidates they already own.
Source: Brand's website (https://candidateiq.ai) · 2026-10-04

- **Description:** CandidateIQ is a SaaS platform that transforms Applicant Tracking Systems (ATS) into revenue-generating resources by cleaning, validating, enriching, scoring, and prioritizing candidate records. It aims to improve recruiter efficiency, accelerate placements, and enable reliable AI and automation performance by ensuring high-quality, trustworthy data.
Source: Brand's website (https://candidateiq.ai) · 2026-10-04

## Offerings

- **Core capabilities:**
  - A complete ATS data quality management solution featuring Trust Scoring Profiles for candidate prioritization
  - verified contact data replacement
  - and record enrichment
  - making candidate databases AI and automation-ready.
Source: Brand's website (https://candidateiq.ai) · 2026-10-04

- **Pricing:** Offers a free trial, suggesting a subscription or tiered pricing model for full functionality.
Source: Brand's website (https://candidateiq.ai) · 2026-10-04

## Audience

- **Target industry:** Recruitment firms, staffing agencies, and organizations utilizing Applicant Tracking Systems (ATS) like Bullhorn, aiming to maximize revenue and efficiency from their existing candidate databases.
Source: Brand's website (https://candidateiq.ai) · 2026-10-04

Page last updated 2026-10-17.