Syft
AI-Powered Candidate Matching for Faster, Diverse Hiring (Service Closed)
Description
Syft was an AI-powered recruitment tool focused on streamlining the hiring process. It operated by automatically matching candidate CVs stored within a company's Applicant Tracking System (ATS) against job descriptions. This aimed to save significant time on manual candidate reviews and help uncover suitable candidates already present in the talent pool. The platform emphasized improving diversity and inclusion through its matching algorithms.
Key functionalities included AI-powered filters, multi-lingual support for over 50 languages, candidate search, and direct integration with existing ATS workflows. Syft also offered a feature called TalentLake® for analyzing an entire ATS database. Important Notice: As stated on their website, Syft has closed down and is no longer operational.
Key Features
- Auto-match against job description: Automated CV analysis against job requirements to save review time.
- Integrated directly into your ATS: Seamless operation within existing recruitment workflows and systems.
- AI-powered filters: Advanced filtering capabilities beyond standard boolean searches.
- Multi-lingual: Capability to understand and process CVs in over 50 languages.
- Candidate search: Functionality to quickly find specific candidates within the database.
- Match against another candidate: Tooling to compare candidates for team building.
- TalentLake®: Extended feature to analyze and match candidates across the entire ATS database.
- GDPR compliant: Adherence to GDPR regulations for data privacy.
- Unlimited roles support: Designed for company-wide use across multiple job openings.
- Tiered CV Analysis Limits: Analyzed a specific number of CVs per role based on the subscription tier (e.g., 100 for Starter).
Use Cases
- Automating initial candidate screening.
- Reducing time-to-hire by quickly identifying relevant candidates.
- Improving diversity and inclusion in candidate selection.
- Searching and leveraging existing talent pools within an ATS.
- Matching candidates to specific job requirements using AI.
- Comparing candidates to build balanced teams.
