Skima AI

Skima AI and Pinpoint ATS integration

Skima AI is an AI recruiting intelligence platform that helps hiring teams screen candidates and identify strong matches faster.

The integration automatically evaluates candidates in Pinpoint against your job requirements, giving each candidate a 0–100 match score with clear reasoning, including key strengths and potential gaps. Scores and insights are added directly to the candidate record, so recruiters and hiring managers can review them without switching platforms.

Skima AI can also surface high-fit candidates already in your Pinpoint database, helping you rediscover people who may have been overlooked. When job descriptions or hiring criteria change, evaluations update automatically to reflect the latest requirements.

How does the Pinpoint and Skima AI integration work?

Skima AI works directly with candidate and job data in Pinpoint to make first-pass screening faster and easier to review.

• Automatically screen candidates: Evaluate every candidate against the requirements of the role without manually reviewing each application.
• See match scores in Pinpoint: Get a 0–100 match score for each candidate, along with clear strengths, gaps, and supporting reasoning.
• Create ranked shortlists: Quickly identify the strongest matches and focus your team's time on the candidates most relevant to the role.
• Rediscover existing candidates: Surface high-fit people already in your Pinpoint database without manually re-screening previous applicants.
• Keep evaluations up to date: Automatically refresh scores and reasoning when job descriptions or hiring criteria change.
• Give hiring managers more context: Share explainable, evidence-backed evaluations directly within the candidate record in Pinpoint.
• Keep screening in one workflow: Review Skima AI's screening results through Pinpoint custom fields, with no separate platform or login required.

About Skima AI

Skima AI is an AI recruiting intelligence platform that helps talent acquisition teams screen, evaluate, and shortlist candidates. It uses job requirements and candidate data to generate explainable match scores and surface relevant talent, helping teams spend less time on first-pass screening and focus their attention on the strongest potential matches.