Introduction to Skima AI
Hiring at scale is broken. Enterprises post jobs, collect thousands of applications, and then watch them pile up inside an ATS that was built to store data, not make sense of it. The result is long hiring cycles, high agency spend, repeated manual screening, and strong candidates getting lost in the system.
Skima AI is the intelligence layer that fixes this. It sits on top of your existing ATS, whether that is Workday, Greenhouse, Lever, BambooHR, or any of 130+ supported platforms, and turns stored hiring data into actionable hiring decisions. No migration. No replacement. Most teams are live within 48 hours of signing.
Why Skima AI
Your ATS is a database. Skima AI is what makes it think.
Most recruitment platforms put the burden on recruiters. They filter resumes manually, compare profiles one by one, follow up through spreadsheets, and try to surface the right candidates from thousands of applications. The result is delays, inconsistent shortlisting, and hiring decisions that reflect effort more than evidence.
Skima AI automates the decision layer. It parses resumes at scale, scores candidates with explainable AI matching scores tied to specific job requirements, rediscovers qualified candidates already sitting in your database, and keeps candidate engagement moving without manual follow-up.
What Skima AI Does
Skima AI covers the parts of the hiring workflow where recruiters spend the most time and where quality is most often lost.
Resume Parsing and Candidate Profiles:
Every candidate starts as a resume. Skima AI's parser handles 40+ file formats, including PDFs, DOCX files, scanned documents, and templated resumes, and extracts 200+ data points per profile: skills, experience, certifications, career gaps, education, and projects. All extracted data is normalized into clean, searchable candidate profiles. Parsing accuracy exceeds 99%.
AI Matching Score:
Skima AI scores every candidate against the specific requirements of a role and returns a ranked list with clear reasoning behind each score. Instead of a black-box percentage, recruiters see the evidence: relevant experience, matched skills, verified certifications, and similar career patterns. Every score is explainable to hiring managers, legal teams, and the candidates themselves.
Candidate Rediscovery:
Most ATS databases hold qualified candidates who were screened but never hired. Skima AI surfaces them. Rather than sourcing from scratch for every open role, recruiters can mine their existing database for strong-fit candidates who are already familiar with the company and ready to re-engage.
AI-Powered Candidate Search:
Search your entire talent pool using plain language instead of rigid keyword filters. Skima AI ranks candidates by fit, not just keyword overlap, based on skills, experience, role requirements, and historical hiring patterns.
Reverse Search:
Reverse Search flips the standard process. Instead of matching one job against thousands of profiles, it matches one candidate against multiple open roles instantly. This helps recruiters identify hidden placement opportunities, improve candidate rediscovery, and make better use of existing talent databases without starting every search from scratch.
AI Calibration and Knockout Filters:
Recruiters can define strict must-have requirements and knockout conditions so poor-fit candidates are automatically disqualified early in the process. This improves shortlist quality and reduces time spent on manual rejection. Teams can clearly define what blocks progression rather than treating every requirement as a preference.
AI Interviews and Candidate Evaluation:
Run structured first-round interviews using AI-generated interview flows built around each specific role. Skima AI handles scheduling, interview links, question generation, transcript capture, video recording, scorecards, and evaluation summaries in one workflow. Recruiters review completed interviews using documented evidence rather than recall or scattered notes.
Automated Candidate Engagement:
Set up outreach campaigns that run without constant manual input. Skima AI drafts personalized communication, sends follow-ups at the right time, and tracks candidate engagement so recruiters can see what is working and where drop-offs happen.
Job Posting and Promotion:
Publish jobs to your career page, LinkedIn, and external job boards from one place. Add screening questions, approval flows, and promotion controls to improve application quality before candidates enter the pipeline.
Analytics and Hiring Intelligence:
Track pipeline health, recruiter performance, interview completion, and hiring bottlenecks in real time. Dashboards give recruiters, hiring managers, and leadership a clear view of the full funnel without manual reporting.
Compliance and Security
Skima AI is built for enterprise environments where data protection and regulatory compliance are not optional.
- SOC 2 Type II: Independently audited security controls, verified with no exceptions (2025).
- GDPR: Full EU data protection compliance, with candidate data residency on AWS Dublin (EU).
- EU AI Act: Practices aligned with high-risk AI system obligations applicable to automated hiring tools under the regulation.
- NYC Local Law 144: Supports annual bias audits for automated employment decision tools used by New York employers.
- EEOC-aligned bias testing: Matching models tested across 700+ profiles, with all demographic groups scoring above the Four-Fifths Rule threshold for adverse impact.
- Explainable scoring: Every AI match score is traceable to specific evidence, so any hiring decision can be reviewed, challenged, or audited.
Full compliance documentation is available at skima.ai/legal-compliance. Live compliance posture is monitored independently at the Skima AI Trust Center.
Best Uses of Skima AI
| Role | How Skima AI Helps |
|---|---|
| Recruiters | Automate sourcing, screening, and outreach so they can focus on the candidates that matter |
| Talent Acquisition Teams | Manage hiring pipelines across multiple roles and improve shortlist quality with stronger screening |
| Staffing Agencies | Handle high-volume recruitment using AI search, rediscovery, and bulk engagement workflows |
| HR Leadership | Track hiring velocity, recruiter performance, and quality of hire from a single system |
| Enterprise Hiring Teams | Activate existing candidate databases and improve decision-making across large-scale hiring operations |
Getting Started
Skima AI deploys on top of your existing workflow. Connect via one of 130+ ATS integrations, upload candidate data directly, or start with a manual import. You do not need to replace your current system. Recruiters continue working inside the process they already know, while Skima AI adds intelligence where it matters most: screening, matching, rediscovery, and decision-making.