AI applicant screening
Applicant AI can screen incoming applicants automatically using the CV or resume together with the job description, helping teams prioritize stronger matches before manual review.
Web-based AI applicant tracking system that pre-screens candidates using CVs and job descriptions.
Applicant AI is an AI applicant tracking system designed to pre-screen job applicants before they reach a recruiter’s main workflow. The product uses a candidate’s CV or resume together with the job description to score applicants and help hiring teams identify stronger matches faster.
The website positions the product as both a pre-filter for existing ATS tools and a standalone applicant tracking system. It supports custom screening questions, automatic sorting, and routing of higher-scoring candidates into the hiring process, while still leaving access to the full applicant pool.
Applicant AI can screen incoming applicants automatically using the CV or resume together with the job description, helping teams prioritize stronger matches before manual review.
The product provides a custom applicant link and form workflow, so candidates answer screening questions before their applications are scored.
Applicants receive a score, and higher-scoring candidates can be redirected to an existing ATS while the team still retains visibility into all applicants.
The site says Applicant AI can integrate as a pre-filter for existing ATS setups, including Greenhouse, Lever, and Workable.
The pricing page includes sorting, prioritization, imported applicants, strength and weakness review, and custom instructions for evaluation.
The product offers automatic rejection emails with customizable templates, reducing the need for manual follow-up on unqualified applicants.
Hiring teams that receive a high volume of applications can use Applicant AI to sort candidates before a recruiter spends time reading every CV.
Companies already using an ATS can place Applicant AI in front of that system to filter out low-fit candidates before they enter the main pipeline.
Teams that want a structured first pass can use the custom form and scoring step as a lightweight screening interview before moving candidates forward.
Recruiters who want to reduce repetitive admin can use the automatic rejection email templates for applicants who do not meet the screening threshold.
Organizations that need to compare candidate quality consistently can review imported applicants, their strength and weakness signals, and custom instructions in one workflow.
Applicant AI lets companies pre-screen applicants by sending them through a custom form first. Applicants complete the form, Applicant AI scores them, and higher-scoring candidates can be redirected into the company’s existing ATS.
Yes. The pricing page says applicant CVs can be imported after upgrading to any paid plan, and imported applicants are automatically sorted.
Applicant AI says it can be used with existing ATS tools such as Greenhouse, Lever, and Workable, where it acts as a pre-filter before candidates reach the ATS.
The pricing page says there is no free trial at the moment. It also says refunds are available within 14 days of payment if the product is not a fit.
The site says it does not schedule demos at the moment. The practical way to evaluate the product is to upgrade to a paid plan and use the refund window if needed.
Traffic data is for reference only.
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