For growing teams and independent recruiters
Sift Skills works alongside your existing workflow to analyze and score every candidate in your pipeline, so you quickly identify who fits the role and why.
Create a job post in minutes and share the link. Every applicant is automatically analyzed and scored against the role so you can see who fits and why, without opening a single resume.
Already have a job description? Paste it and upload resumes directly through our app or Chrome extension.
Each candidate in your pipeline is analyzed and scored against your job description and comes back with both a summary and detailed breakdown of their strengths, gaps, and transferable skills, verified against LinkedIn, GitHub, and portfolios when available. No more keyword filters or opening resumes one by one.
Share candidate analysis and shortlists with your team, clients, or hiring managers. No more back and forth or misalignment. Everyone has the scoring, insights, and reasoning they need to move forward.
Before sourcing new candidates, search the ones you've already analyzed. Surface candidates in your history that fit a new role, or have specific skills or experience, and get a list of matches instantly, no manual digging required.
Generate clear, compelling job descriptions with built-in applications. Share them anywhere and we automatically analyze every incoming candidate with structured insights, without changing your workflow.
Paste a job URL or text from a job description. Upload resumes from any source. Sift Skills delivers deep candidate analysis so you can move faster and present stronger shortlists to clients.
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Sift Skills is not an ATS. We're a candidate analysis platform with optional lightweight job and application management.
Instead of manually screening resumes, Sift Skills automatically analyzes and scores every candidate in your pipeline. Each candidate gets an evidence-based breakdown of strengths, gaps, transferable skills, and fit, cross-referenced against LinkedIn, GitHub, or portfolios when available. This gives you a clear view of who to move forward and why, in a fraction of the time.
Analyzed candidates stay searchable, so when a new role opens, your next hire may already be in your pipeline.
No. Sift Skills analyzes the candidates you bring in. Collect applications through a job post you create on our platform, or paste a job and upload candidate resumes directly into Sift Skills. We handle the analysis, and every candidate's skills and experience stay searchable in our platform.
Yes. Sift Skills accepts PDF and DOCX files uploaded directly, with support for drag-and-drop, folders, and ZIP uploads of up to 100 resumes at a time.
You can also enable our Chrome extension to send resumes from your inbox or computer directly into Sift Skills for analysis while you continue your workflow.
General AI tools were not built for hiring. You can paste a resume into ChatGPT and get a response, but the output depends entirely on how you prompt it. Change the wording and you may get a different result. That inconsistency makes it difficult to trust what you're getting back, compare candidates, or stay aligned as a team.
Sift Skills uses a structured, multi-step framework to evaluate every candidate and generate an evidence-based score with clear, transparent reasoning. Resumes are anonymized, experience is cross-referenced against candidates LinkedIn, GitHub, or portfolios when available. Results are organized, summarized, and easy to share with your team or clients directly from our platform.
Our analysis works best on roles with clearly defined requirements. Technical roles and core business functions like operations, sales, and product produce the strongest results. Roles that rely heavily on personality or traits that cannot be demonstrated through a resume or application are not a good fit.
Yes. Sift Skills provides decision support, not decision making. Human judgment catches what a resume alone can't show.
Every candidate receives a score so you can prioritize at a glance. Click into any candidate to see a summary and full analysis, backed by evidence from their resume and cross-referenced sources like LinkedIn, GitHub, or portfolios when available.
Resumes are anonymized during analysis so personal details, including candidate names and the names of schools and employers, do not influence the evaluation. The system still evaluates credentials, degrees, certifications, and relevant experience, but without relying on brand or identity. This keeps the focus on demonstrated skills and impact.
Once the analysis is complete, full candidate information is restored so your team can review the complete profile and make the final decision. The system is also designed to fairly evaluate non-linear careers, pivots, and unconventional paths so strong candidates are not overlooked.
You can learn more about how we handle data and privacy in our Privacy Policy.